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Fast Load from Hadoop to Oracle Database
 
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Unstructured data (weblogs, social media feeds, sensor data, etc.) is increasingly acquired and processed in Hadoop. Applications need to combine the processed data with structured data in the database for analysis. This session will cover Oracle Loader for Hadoop for high speed load from Hadoop to Oracle Database, from source formats such as Hive tables and weblogs.
Move Data Between Apache Hadoop and Oracle Database for Customer 360 Degree Analytics
 
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Melliyal Annamalai, Oracle Krishna Gayatri Kuchimanchi, Oracle Shelvanarayana Aghalayam, Principal SC - SCC Solutions - Big Data, Oracle Customer 360-degree views require data from mobile device feeds, online community logs, social media feeds (often processed with Apache Hadoop), and a wealth of information stored in the database. Tools for data movement between big data platforms and Oracle Database are necessary for machine learning and complex analytics using all this data. In this session, step through using some of these tools with direct path load, SQL, and custom Hive SerDes and understand how they work with big data and database services in Oracle Cloud Infrastructure.
Views: 620 Oracle Developers
Synchronize data from Oracle to Hadoop
 
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http://Software.Dell.com/SharePlexDemo Learn how to perform near real-time data loads and continuous replication from Oracle databases to Hadoop environments with SharePlex Connector for Hadoop from Dell Software.
Views: 1993 DellTechCenter
Sqoop Tutorial - How To Import Data From RDBMS To HDFS | Sqoop Hadoop Tutorial | Simplilearn
 
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This Sqoop Tutorial will help you understand how can you import data from RDBMS to HDFS. It will explain the concept of importing data along with a demo. Apache Sqoop is a tool designed for efficiently transferring bulk data between Apache Hadoop and external data stores such as relational databases, enterprise data warehouses. Sqoop is used to import data from external datastores into Hadoop Distributed File System or related Hadoop eco-systems like Hive and HBase. Similarly, Sqoop can also be used to extract data from Hadoop or its eco-systems and export it to external datastores such as relational databases, enterprise data warehouses. Sqoop works with relational databases such as Teradata, Netezza, Oracle, MySQL, Postgres etc Subscribe to Simplilearn channel for more Big Data and Hadoop Tutorials - https://www.youtube.com/user/Simplilearn?sub_confirmation=1 Check our Big Data Training Video Playlist: https://www.youtube.com/playlist?list=PLEiEAq2VkUUJqp1k-g5W1mo37urJQOdCZ Big Data and Analytics Articles - https://www.simplilearn.com/resources/big-data-and-analytics?utm_campaign=hadoop-sqoop-_Mh1yBJ8l88&utm_medium=Tutorials&utm_source=youtube To gain in-depth knowledge of Big Data and Hadoop, check our Big Data Hadoop and Spark Developer Certification Training Course: http://www.simplilearn.com/big-data-and-analytics/big-data-and-hadoop-training?utm_campaign=hadoop-sqoop-_Mh1yBJ8l88&utm_medium=Tutorials&utm_source=youtube #bigdata #bigdatatutorialforbeginners #bigdataanalytics #bigdatahadooptutorialforbeginners #bigdatacertification #HadoopTutorial - - - - - - - - - About Simplilearn's Big Data and Hadoop Certification Training Course: The Big Data Hadoop and Spark developer course have been designed to impart an in-depth knowledge of Big Data processing using Hadoop and Spark. The course is packed with real-life projects and case studies to be executed in the CloudLab. Mastering real-time data processing using Spark: You will learn to do functional programming in Spark, implement Spark applications, understand parallel processing in Spark, and use Spark RDD optimization techniques. You will also learn the various interactive algorithm in Spark and use Spark SQL for creating, transforming, and querying data form. As a part of the course, you will be required to execute real-life industry-based projects using CloudLab. The projects included are in the domains of Banking, Telecommunication, Social media, Insurance, and E-commerce. This Big Data course also prepares you for the Cloudera CCA175 certification. - - - - - - - - What are the course objectives of this Big Data and Hadoop Certification Training Course? This course will enable you to: 1. Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark 2. Understand Hadoop Distributed File System (HDFS) and YARN as well as their architecture, and learn how to work with them for storage and resource management 3. Understand MapReduce and its characteristics, and assimilate some advanced MapReduce concepts 4. Get an overview of Sqoop and Flume and describe how to ingest data using them 5. Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning 6. Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution 7. Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations 8. Understand HBase, its architecture, data storage, and working with HBase. You will also understand the difference between HBase and RDBMS 9. Gain a working knowledge of Pig and its components 10. Do functional programming in Spark 11. Understand resilient distribution datasets (RDD) in detail 12. Implement and build Spark applications 13. Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques 14. Understand the common use-cases of Spark and the various interactive algorithms 15. Learn Spark SQL, creating, transforming, and querying Data frames - - - - - - - - - - - Who should take up this Big Data and Hadoop Certification Training Course? Big Data career opportunities are on the rise, and Hadoop is quickly becoming a must-know technology for the following professionals: 1. Software Developers and Architects 2. Analytics Professionals 3. Senior IT professionals 4. Testing and Mainframe professionals 5. Data Management Professionals 6. Business Intelligence Professionals 7. Project Managers 8. Aspiring Data Scientists - - - - - - - - For more updates on courses and tips follow us on: - Facebook : https://www.facebook.com/Simplilearn - Twitter: https://twitter.com/simplilearn - LinkedIn: https://www.linkedin.com/company/simplilearn - Website: https://www.simplilearn.com Get the android app: http://bit.ly/1WlVo4u Get the iOS app: http://apple.co/1HIO5J0
Views: 20856 Simplilearn
Hadoop vs. Oracle Exadata
 
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Alex Gorbachev, Oracle ACE Director, Cloudera Champion of Big Data, and Chief Technology Officer at Pythian, has recorded a series comparing the various big data platforms and use cases to help you identify which ones will suit your needs.
Views: 12986 Pythian
Move Data Between Hadoop and the Oracle Database for Customer 360 Analytics
 
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Full 360-degree views of customers require data from mobile device feeds, online community logs, social media feeds (often processed using Apache Hadoop), and a wealth of information stored in the database. Tools for data movement between big data platforms and Oracle Database are necessary for machine learning and complex analytics using all this data. In this session get an overview of the steps required to use some of these tools with direct path load, SQL, and custom Hive SerDes. Speaker: Jeff Richmond
Views: 168 Oracle Developers
What is Hadoop?: SQL Comparison
 
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This video points out three things that make Hadoop different from SQL. While a great many differences exist, this hopefully provides a little more context to bring mere mortals up to speed. There are some details about Hadoop that I purposely left out to simplify this video. http://www.intricity.com To Talk with a Specialist go to: http://www.intricity.com/intricity101/
Views: 333658 Intricity101
Big Data & Hadoop - Create Tables & Load Data  - DIY#5 of 50
 
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Google Drive link for the files used in the videos: https://drive.google.com/open?id=0B1BHXHiSfdg_VmpZb2NzM1hXbEk Commands: show databases; use bdcs; CREATE TABLE LOADCSV ( Country STRING, ClaimId STRING, Year STRING, ClaimItem STRING, ClaimAmt INT, PaidAmt INT ) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS TEXTFILE; show tables; load data inpath '/user/bdcs/BigDataClaimsSubset.csv' into table loadcsv; Big Data & Hadoop - Create Tables & Load Data - DIY#5 of 50 Big Data & Hadoop - HIVE Command Line & Hue - DIY#4 of 50 Big Data & Hadoop - Architecture & Ecosystem Explained - DIY#3 of 50 Big Data & Hadoop - Setting up Cloudera VM - DIY#2 of 50 Big Data & Hadoop - Fundamentals - Set 1 of 50 Big Data Architecture and Ecosystem explained. Horton works, Cloudera, Spark, Hive, PIG, Impala, Scala Do It Yourself - DIY Bharati DW Consultancy cell: +1-562-646-6746 email: [email protected] website: http://www.bharaticonsultancy.in http://bharatidwconsultancy.blogspot.com Twitter: @BharatDWCons Youtube: BharatiDWConsultancy Whatsapp: +1-562-646-6746 (+1-56-COGNOS-46) Big Data tutorial for beginners. Hadoop tutorial for beginners, HIVE tutorial for beginners. Free Big Data Tutorial for beginners.
Views: 3726 BharatiDWConsultancy
Oracle vs Exadata vs Hadoop
 
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Oracle vs Exadata vs Hadoop
Views: 4 Nook Tutorials
Hadoop Tutorial for Beginners | Hadoop vs RDBMS | Hadoop vs MySql | Hadoop vs Oracle | Edureka
 
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( Hadoop Training: https://www.edureka.co/hadoop ) Check our Hadoop Tutorial blog series here: https://goo.gl/LFesy8 This Edureka Hadoop tutorial helps you understand Hadoop vs RDBMS, Hadoop vs MySql, Hadoop vs Oracle and Hadoop vs Traditional Database Systems. This Hadoop tutorial is ideal for beginners to learn Hadoop and RDBMS concepts. This Edureka Hadoop Tutorial provides knowledge on HADOOP vs RDBMS using a Sears case study, how Hadoop can be adopted into an existing system and will give you a picture on how HADOOP and RDBMS can also work together. Hadoop can be used as an underlying file-system to store, manage and process Big Data and then the final aggregated data(structured and not Big Data) can be pushed into an existing RDBMS which is used for final BI reports. "HADOOP vs RDBMS" helps you understand that hadoop is not necessarily a replacement for RDBMS however it is there to support and enhance the existing infrastructure to leverage Big Data. Hence, you should know when to use and when not use Hadoop. Refer to the below blog: http://www.edureka.co/blog/5+Reasons-when-to-use-and-not-to-use-hadoop/ Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Hadoop playlist here: https://goo.gl/ExJdZs How it Works? 1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you: 1. Master the concepts of HDFS and MapReduce framework 2. Understand Hadoop 2.x Architecture 3. Setup Hadoop Cluster and write Complex MapReduce programs 4. Learn data loading techniques using Sqoop and Flume 5. Perform data analytics using Pig, Hive and YARN 6. Implement HBase and MapReduce integration 7. Implement Advanced Usage and Indexing 8. Schedule jobs using Oozie 9. Implement best practices for Hadoop development 10. Work on a real life Project on Big Data Analytics 11. Understand Spark and its Ecosystem 12. Learn how to work in RDD in Spark - - - - - - - - - - - - - - Who should go for this course? If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career: 1. Analytics professionals 2. BI /ETL/DW professionals 3. Project managers 4. Testing professionals 5. Mainframe professionals 6. Software developers and architects 7. Recent graduates passionate about building successful career in Big Data - - - - - - - - - - - - - - Why Learn Hadoop? Big Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Please write back to us at [email protected] or call us at +91 88808 62004 for more information. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Review: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
Views: 7736 edureka!
Hadoop for Database Administrators
 
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Register here for FREE ACCESS to our BIG Data & Hadoop Training Platform: http://promo.skillspeed.com/big-data-hadoop-developer-certification-course/ This is a short video presentation on roles and responsibilities of a Database Administrator (DBA) and the Big Data challenge. It showcases the advantages of Hadoop and how a DBA can create valuable insights via Hadoop. The agenda for this session is as follows: ✓ What does a Database Administrator do? ✓ Limitations faced by DBAs - Big Data and DBA ✓ How Hadoop solves these limitations ✓ Hadoop DBA Professional - Career Path ---------- What does a Database Administrator do? A Database Administrator (DBA) is responsible for ensuing the efficient, secure and continuous operation of one or more database management systems (DBMS) in an organization. While users are most often doing their work on “front end” applications like links and forms in a web browser or mobile app, those “front end” applications in turn feed data to a “back end” DBMS and retrieve data from the back end DBMS. A DBA is important to an organization because any lapse in the DBMS will result in non-functioning of applications, thus huge losses to organizations. ---------- Why Database Administrators should shift to Hadoop? Here are the important limitations faced by DBA Professionals: 1. Managing Unstructured Data 2. Horizontal Scalability in terms of Data Sources 3. Cost Effectiveness of traditional DBA Tools 4. Security Issues 5. Ability to perform Real Time Analysis ---------- Upgrade from DBA to Hadoop - Hadoop for DBAs Here are the list of reasons as to why Hadoop is essential for a DBA Professional: ⇒ Organizational Level - BIG Data Analytics Data is generated in huge volumes say for example in petabytes or zeta bytes which is rich and has potential to be harnessed. This unstructured data in form of images, audio and other forms is difficult to process. Organizations today have started adopting Hadoop in order to perform real time analysis and utilize data from these complex sources; that is unstructured data which forms a major chunk of their data collection. Added to that Organizations are using Hadoop not only to save on server costs but to create breakthroughs and innovations. ⇒ Individual Level - Career in Hadoop By deploying Hadoop to harness unstructured data, DBA Professionals can play a vital role to improve business operations. Hadoop allows DBA professionals with superior data processing and storage capabilities. ---------- Skillspeed is a live e-learning company focusing on high-technology courses. We provide live instructor led training in BIG Data & Hadoop featuring Realtime Projects, 24/7 Lifetime Support & 100% Placement Assistance. Email: [email protected] Website: https://www.skillspeed.com Number: +91-90660-20904 Facebook: https://www.facebook.com/SkillspeedOnline Linkedin: https://www.linkedin.com/company/skillspeed
Views: 1652 Skillspeed
Difference between hadoop and relational databases
 
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This video highlights some basic differences between hadoop and relational database management systems. It talks about what operations are best performed in hadoop and what operations are best performed in relational databases. structured vs unstructured data. high vs low cost. open source vs licensed.
Views: 1481 SelfReflex
Hadoop Introduction and brief comparison with Oracle
 
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Connect with me or follow me at https://www.linkedin.com/in/durga0gadiraju https://www.facebook.com/itversity https://github.com/dgadiraju https://www.youtube.com/c/TechnologyMentor https://twitter.com/itversity
Views: 5303 itversity
Data Ingestion from Oracle to Hadoop
 
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This video will familiarize you on the process to ingest data from Oracle to Hadoop in Diyotta. Diyotta provides an easy to use platform for Data Ingestion. It supports different standard data sources, for example, Oracle, MySQL, and Teradata. To learn more about how Diyotta quickly enables you to build complex data pipelines in minutes., visit https://www.diyotta.com • Diyotta on Twitter: http://twitter.com/diyotta • Diyotta on Facebook: https://www.facebook.com/diyottainc • Diyotta on LinkedIn: http://www.linkedin.com/company/diyotta-inc-
Views: 143 Diyotta
Statistics and Predictive Analytics in Oracle Database and Hadoop
 
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Statistics and Predictive Analytics in Oracle Database and Hadoop: Oracle Technology Summit - Virtual Technology Days 2015
Copying data from Oracle to Hadoop using Informatica
 
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*** View Full Screen and in HD for best results *** This quick video shows how to use Informatica to pull data from Oralce and insert into a Hadoop filesystem.
Views: 5968 datasourcetv
Apache Sqoop: Unlocking Hadoop for Your Relational Database
 
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Kathleen Ting, Technical Account Manager @ Cloudera and Sqoop Committer Slides: http://www.slideshare.net/huguk/140410-huguksqoopunlockhadoop Unlocking data stored in an organization's RDBMS and transferring it to Apache Hadoop is a major concern in the big data industry. Apache Sqoop enables users with information stored in existing SQL tables to use new analytic tools like Apache HBase and Apache Hive. This talk will go over how to deploy and apply Sqoop in your environment as well as transferring data from MySQL, Oracle, PostgreSQL, SQL Server, Netezza, Teradata, and other relational systems. In addition, we'll show you how to keep table data and Hadoop in sync by importing data incrementally as well as how to customize transferred data by calling various database functions.
Views: 2800 Hadoop Users Group UK
RDBMS, NoSQL DB, Hadoop 비교 분석 - Oracle Korea
 
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B2B IT 비즈니스플랫폼, 토크아이티: http://www.talkit.tv Database 선택 시 고려사항은? Performance, Security, Cost 기준으로 3가지의 장단점을 알아 봅니다.
Views: 3622 TalkIT
Replicating Data from Oracle to Hadoop - Attunity Replicate
 
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Learn how Attunity Replicate provides a unified platform to replicate and ingest data across all major databases, data warehouses and Hadoop platforms, on premises and in the cloud. This video demonstrates the process for moving data from Oracle to Hadoop. Website: https://www.attunity.com/ Get Updates on Attunity Products and News on Social Media Follow us on Twitter: https://twitter.com/attunity Follow us on LinkedIn: https://www.linkedin.com/company/attunity Like us on Facebook: https://www.facebook.com/attunity/
Views: 7595 Attunity, Inc.
Oracle NoSQL and Hadoop working together to produce actionable data
 
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Oracle NoSQL and Hadoop demo for Marketing and CRM use case. This Demo explains the business case and technical overview of NoSQL and Hadoop working together to produce actionable data from both unstructured and structured data.
Views: 731 Khalid Ansari
Oracle Big Data Architecture
 
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Oracle Big data Architecture basic explanation-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 3190 InfoTechLearner
Career switch from Oracle  DBA to Hadoop
 
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oracle dba to data engineer Oracle DBA to Hadoop Developer If you think I am helping you guys for career growth then you can help me by donating from following URL. https://www.orcldata.com/blog (Donate button available)
Views: 210 ANKUSH THAVALI
Oracle Big Data Discovery. The Visual Face of Hadoop
 
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Oracle Big Data Discovery is a set of end-to-end visual analytic capabilities that leverage the power of Hadoop to transform raw data into business insight in minutes, without the need to learn complex products or rely only on highly skilled resources.
Part 1: Oracle Big Data SQL
 
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Oracle Big Data SQL - Learn about monitoring and tuning, Enterprise Manager, Cloudera Manager, and analyzing statistics. ================================= For more information, see http://www.oracle.com/goto/oll Copyright © 2017 Oracle and/or its affiliates. Oracle is a registered trademark of Oracle and/or its affiliates. All rights reserved. Other names may be registered trademarks of their respective owners. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the “Materials”). The Materials are provided “as is” without any warranty of any kind, either express or implied, including without limitation warranties or merchantability, fitness for a particular purpose, and non-infringement.
Hadoop  & SQL Analytics in Oracle Database 12c
 
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Kuassi Mensah Oracle PM talks about the new Near Real Time Anlaytics for Hadoop and SQL in Oracle 12c
Views: 53 Todd Trichler
Hadoop Vs RDBMS
 
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What is difference between Hadoop and RDBMS Systems? This is a very common Interview question. Hadoop is a big data technology. People usually compare Hadoop with traditional RDBMS systems
Views: 203 Data Savvy
What is Big Data and Hadoop?
 
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The availability of large data sets presents new opportunities and challenges to organizations of all sizes. So what is Big Data? How can Hadoop help me solve problems in processing large, complex data sets? Please go to https://www.learningtree.com/bigdata to learn more about Big Data & our Big Data training offerings. In this video expert instructor, Bill Appelbe will explain what Hadoop is, actual examples of how it works and how it compares to traditional databases such as Oracle & SQL Server. And finally, what is included in the Hadoop ecosystem.
Real-time data loading into Hadoop with Tungsten Replicator
 
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Hadoop is rapidly becoming more than an analytics store and is rising up to the level of a database used at the same level as traditional RDBMS stores. Continuent Tungsten Replicator 3.0 is an open source replication solution that already operates with MySQL and Oracle. Tungsten Replicator can replicate data in real time into Hadoop, generating carbon-copy tables that you can use for analytics or online querying. Tungsten Replicator can also integrate with Apache Sqoop to provide provisioning and continuous updates.
Views: 2499 Petri Virsunen
Part 4: Processing Log Files with Oracle Big Data and Hadoop   Oracle
 
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Learn about processing log files, part 4 of the big data demo from Oracle. For more information on Oracle's big data application and solutions, visit https://www.oracle.com/bigdata/
Views: 1318 Oracle Big Data
Big Data Analyics using Oracle Advanced Analytics12c and BigDataSQL
 
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Big Data Analyics using Oracle Advanced Analytics12c and Oracle Big Data SQL webcast
Views: 4948 Charlie Berger
Hadoop vs. Cassandra
 
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Alex Gorbachev, Oracle ACE Director, Cloudera Champion of Big Data, and Chief Technology Officer at Pythian, has recorded a series comparing the various big data platforms and use cases to help you identify which ones will suit your needs.
Views: 15671 Pythian
Hadoop Vs Traditional Database Systems | Hadoop Data Warehouse | Hadoop and ETL | Hadoop Data Mining
 
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http://www.edureka.co/hadoop Email Us: [email protected],phone : +91-8880862004 This short video explains the problems with existing database systems and Data Warehouse solutions, and how Hadoop based solutions solves these problems. Let's Get Going on our Hadoop Journey and Join our 'Big Data and Hadoop' course. - - - - - - - - - - - - - - How it Works? 1. This is a 10-Module Instructor led Online Course. 2. We have a 3-hour Live and Interactive Sessions every Sunday. 3. We have 4 hours of Practical Work involving Lab Assignments, Case Studies and Projects every week which can be done at your own pace. We can also provide you Remote Access to Our Hadoop Cluster for doing Practicals. 4. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 5. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, MapReduce, Advance MapReduce, PIG, HIVE, HBase, Zookeeper, SQOOP, Hadoop 2.0 , YARN etc. will be covered in the course. - - - - - - - - - - - - - - Course Objectives After the completion of the Hadoop Course at Edureka, you should be able to: Master the concepts of Hadoop Distributed File System. Understand Cluster Setup and Installation. Understand MapReduce and Functional programming. Understand How Pig is tightly coupled with Map-Reduce. Learn how to use Hive, How you can load data into HIVE and query data from Hive. Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing. Have a good understanding of ZooKeeper service and Sqoop, Hadoop 2.0, YARN, etc. Develop a working Hadoop Architecture. - - - - - - - - - - - - - - Who should go for this course? This course is designed for developers with some programming experience (preferably Java) who are looking forward to acquire a solid foundation of Hadoop Architecture. Existing knowledge of Hadoop is not required for this course. - - - - - - - - - - - - - - Why Learn Hadoop? BiG Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, It is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop, which is not less than a panacea for all those companies working with BIG DATA in a variety of applications and has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Some of the top companies using Hadoop: The importance of Hadoop is evident from the fact that there are many global MNCs that are using Hadoop and consider it as an integral part of their functioning, such as companies like Yahoo and Facebook! On February 19, 2008, Yahoo! Inc. established the world's largest Hadoop production application. The Yahoo! Search Webmap is a Hadoop application that runs on over 10,000 core Linux cluster and generates data that is now widely used in every Yahoo! Web search query. Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Happy Hadooping! Please write back to us at [email protected] or call us at +91-8880862004 for more information. http://www.edureka.co/big-data-and-hadoop
Views: 14014 edureka!
Building a Real-Time Streaming Platform with Oracle, Apache Kafka, and KSQL
 
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One of the main use-cases for Apache Kafka is the building of reliable and flexible data pipelines. Part of Apache Kafka, Kafka Connect enables the integration of data from multiple sources, including Oracle, Hadoop, S3 and Elasticsearch. Building on Kafka's Streams API, KSQL from Confluent enables stream processing and data Transformations using a SQL-like language. This presentation will briefly recap the purpose of Kafka, and then dive into Kafka Connect with practical examples of data pipelines that can be built with it. We'll explore two options for data transformation and processing: Pluggable Single-Message Transformations and the newly-announced KSQL for powerful query-based stream processing. GWEN SHAPIRA Solutions Architect Confluent Gwen is a principal data architect at Confluent helping customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. She currently specializes in building real-time reliable data processing pipelines using Apache Kafka. Gwen is an author of “Kafka - the Definitive Guide”, "Hadoop Application Architectures", and a frequent presenter at industry conferences. Gwen is also a committer on the Apache Kafka and Apache Sqoop projects. When Gwen isn't coding or building data pipelines, you can find her pedaling on her bike exploring the roads and trails of California, and beyond.
Views: 2963 Oracle Developers
Database Month! Making Sense of Big Data with Hadoop by Oracle DBA & ACE Director at Pythian
 
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Making Sense of Big Data with Hadoop by Gwen Shapira, Senior Oracle DBA and Oracle ACE Director at Pythian A Database Month event: http://www.NYCSQL.com/events/59997272/ Hosted by Eric David Benari Hadoop is an open source framework for distributed data analysis. It is also a major part of Oracle's recently announced Big Data Appliance. This presentation will discuss questions raised by traditional IT organizations as they are trying to move Hadoop from the development lab to the data center: Is Hadoop just another ETL tool? What unique value can Hadoop bring to the business? How does the data in Hadoop fit into data life cycle in the organization? And how can we connect the dots to arrive at a consistent and manageable BI architecture? This presentation is aimed at IT professionals who are interested in moving with their organization toward an era where big data is a strategic advantage. Gwen Shapira, Senior Oracle DBA at Pythian Gwen Shapira is Pythian's newest Oracle ACE Director and has studied computer science, statistics, and operations research at the University of Tel Aviv, and then went on to spend the next ten years in different technical positions in the IT industry. Gwen is an OakTable member, and an Oracle Certified Professional, specializing in scalability and high-availability solutions such as RAC and Streams.
How to integrate Matlab Production Server with Hadoop Big Data Apache Oracle Java  Excel
 
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http://quantlabs.net/blog/2013/03/youtube-video-how-to-integrate-matlab-production-server-with-hadoop-big-data-apache-oracle-sql-server-java-net-excel-using-c-or-c/
Views: 2509 Bryan Downing
What is Oracle Big Data Spatial and Graph?
 
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Introduction to Oracle Big Data Spatial and Graph Find out more: 1. Oracle Big Data Spatial and Graph on Oracle.com:  https://www.oracle.com/database/big-data-spatial-and-graph 2. OTN product page (trial software downloads, documentation):  http://www.oracle.com/technetwork/database/database-technologies/bigdata-spatialandgraph 3. Blog  (technical examples and tips):   https://blogs.oracle.com/bigdataspatialgraph/ 4. Big Data Lite Virtual Machine (a free sandbox environment to get started):  http://www.oracle.com/technetwork/database/bigdata-appliance/oracle-bigdatalite-2104726.html For over a decade, Oracle has offered leading spatial and graph analytic technology for the Oracle Database. Oracle is now applying this expertise to exploit Big Data oriented architectures including Hadoop and Oracle NoSQL. Here are some of the features. On the Spatial side, Big Data Spatial and Graph will help you to: *categorize and filter your data based on spatial characteristics. *process and visualize geospatial map data and imagery *And Harmonize data from different sources based on embedded location information. Graph features allow you, among many things, to efficiently: *extract implicit information from your data using graph analytics *discover graph patterns in big data, such as communities and influencers *generate recommendations based on interests, profiles, and past behaviors
ODI and Hadoop Big Data
 
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ODI can be used to integrate data on Big Data through HIVE. Get complete ODI course at https://www.udemy.com/oracle-data-integrator-odi-12c-developer-course/?couponCode=SANRUSHA
In-Database Hadoop: When MapReduce Meets the RDBMS
 
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"The MapReduce programming model enables developers without experience with parallel or distributed systems to use the resources of a large system and process big data. Apache Hadoop implements the MapReduce model. The combination of the RDBMS and MapReduce is being researched. This session describes a prototype of a Hadoop implementation that enables you to reuse native mappers and reducers applications written in Java, directly in the database. Leveraging Java VM in the database is what makes this prototype possible. The major benefits of this implementation: source compatibility with Hadoop, minimal dependency on the Apache Hadoop infrastructure, seamless integration of MapReduce functionality into SQL, and better parallelism and efficiency. Learn more in this session." Copyright © 2013 Oracle and/or its affiliates. Oracle® is a registered trademark of Oracle and/or its affiliates. All rights reserved. Oracle disclaims any warranties or representations as to the accuracy or completeness of this recording, demonstration, and/or written materials (the "Materials"). The Materials are provided "as is" without any warranty of any kind, either express or implied, including without limitation warranties of merchantability, fitness for a particular purpose, and non-infringement.
Oracle Big Data Discovery – Hadoop c человеческим лицом
 
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Наталья Горбунова, ведущий консультант Oracle выступила с докладом "Oracle Big Data Discovery – Hadoop c человеческим лицом"
Views: 116 New Professions Lab
HBase Tutorial | Apache HBase Tutorial for Beginners | NoSQL Databases | Hadoop Tutorial | Edureka
 
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( Hadoop Training: https://www.edureka.co/hadoop ) Check out our HBase Tutorial blog series: https://goo.gl/jXMW8m This NoSQL Database and Apache HBase tutorial is specially designed for Hadoop beginners. Apache HBase is an open-source, distributed, non-relational database modeled after Google’s Bigtable and written in Java. It provides capabilities similar to Bigtable on top of Hadoop and HDFS (Hadoop Distributed Filesystem) i.e. it provides a fault-tolerant way of storing large quantities of sparse data, which are common in many big data use cases. HBase is used for real time read/write access to Big Data. Watch Sample Class Recording: http://goo.gl/fKrT1W This videos covers following topics : 1. NoSQL databases 2.What is Hbase? 3.Where to use HBase? 4.Where not to Use HBase? 5.The Advent of HBase. 6.Hbase Architecture. Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Related Blog Posts: http://www.edureka.co/blog/overview-of-hbase-storage-architecture/?utm_source=youtube&utm_medium=referral&utm_campaign=nosql-hbase-tut http://www.edureka.co/blog/hive-data-models/?utm_source=youtube&utm_medium=referral&utm_campaign=nosql-hbase-tut http://www.edureka.co/blog/pig-vs-hive/?utm_source=youtube&utm_medium=referral&utm_campaign=nosql-hbase-tut Edureka is a New Age e-learning platform that provides Instructor-Led Live, Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world. All topics related to ‘HBase and NoSQL’ have extensively been covered in our course ‘Big Data and Hadoop’. For more information, please write back to us at [email protected] Call us at US: 1800 275 9730 (toll free) or India: +91-8880862004
Views: 80597 edureka!
Hadoop Vs RDBMS
 
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Here i have explained briefly about the relational database management system(RDBMS) and Hadoop
Views: 1043 Technical Dhananjay
Apache Hadoop Tutorial | Hadoop Tutorial For Beginners | Big Data Hadoop | Hadoop Training | Edureka
 
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** Flat 20% Off (Use Code: YOUTUBE20) Hadoop Training: https://www.edureka.co/hadoop ** This Edureka "Hadoop tutorial For Beginners" ( Hadoop Blog series: https://goo.gl/LFesy8 ) will help you to understand the problem with traditional system while processing Big Data and how Hadoop solves it. This tutorial will provide you a comprehensive idea about HDFS and YARN along with their architecture that has been explained in a very simple manner using examples and practical demonstration. At the end, you will get to know how to analyze Olympic data set using Hadoop and gain useful insights. Below are the topics covered in this tutorial: 1. Big Data Growth Drivers 2. What is Big Data? 3. Hadoop Introduction 4. Hadoop Master/Slave Architecture 5. Hadoop Core Components 6. HDFS Data Blocks 7. HDFS Read/Write Mechanism 8. What is MapReduce 9. MapReduce Program 10. MapReduce Job Workflow 11. Hadoop Ecosystem 12. Hadoop Use Case: Analyzing Olympic Dataset Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Hadoop playlist here: https://goo.gl/ExJdZs Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka #Hadoop #Hadooptutorial #HadoopTutorialForBeginners #HadoopArchitecture #LearnHadoop #HadoopTraining #HadoopCertification How it Works? 1. This is a 5 Week Instructor led Online Course, 40 hours of assignment and 30 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka’s Big Data and Hadoop online training is designed to help you become a top Hadoop developer. During this course, our expert Hadoop instructors will help you: 1. Master the concepts of HDFS and MapReduce framework 2. Understand Hadoop 2.x Architecture 3. Setup Hadoop Cluster and write Complex MapReduce programs 4. Learn data loading techniques using Sqoop and Flume 5. Perform data analytics using Pig, Hive and YARN 6. Implement HBase and MapReduce integration 7. Implement Advanced Usage and Indexing 8. Schedule jobs using Oozie 9. Implement best practices for Hadoop development 10. Work on a real life Project on Big Data Analytics 11. Understand Spark and its Ecosystem 12. Learn how to work in RDD in Spark - - - - - - - - - - - - - - Who should go for this course? If you belong to any of the following groups, knowledge of Big Data and Hadoop is crucial for you if you want to progress in your career: 1. Analytics professionals 2. BI /ETL/DW professionals 3. Project managers 4. Testing professionals 5. Mainframe professionals 6. Software developers and architects 7. Recent graduates passionate about building successful career in Big Data - - - - - - - - - - - - - - Why Learn Hadoop? Big Data! A Worldwide Problem? According to Wikipedia, "Big data is collection of data sets so large and complex that it becomes difficult to process using on-hand database management tools or traditional data processing applications." In simpler terms, Big Data is a term given to large volumes of data that organizations store and process. However, it is becoming very difficult for companies to store, retrieve and process the ever-increasing data. If any company gets hold on managing its data well, nothing can stop it from becoming the next BIG success! The problem lies in the use of traditional systems to store enormous data. Though these systems were a success a few years ago, with increasing amount and complexity of data, these are soon becoming obsolete. The good news is - Hadoop has become an integral part for storing, handling, evaluating and retrieving hundreds of terabytes, and even petabytes of data. - - - - - - - - - - - - - - Opportunities for Hadoopers! Opportunities for Hadoopers are infinite - from a Hadoop Developer, to a Hadoop Tester or a Hadoop Architect, and so on. If cracking and managing BIG Data is your passion in life, then think no more and Join Edureka's Hadoop Online course and carve a niche for yourself! Please write back to us at [email protected] or call us at +91 88808 62004 for more information. Customer Review: Michael Harkins, System Architect, Hortonworks says: “The courses are top rate. The best part is live instruction, with playback. But my favorite feature is viewing a previous class. Also, they are always there to answer questions, and prompt when you open an issue if you are having any trouble. Added bonus ~ you get lifetime access to the course you took!!! ~ This is the killer education app... I've take two courses, and I'm taking two more.”
Views: 278879 edureka!
Putting a visual face on Hadoop with Oracle Big Data Discovery
 
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One of the challenges in dealing with big data is 'data wrangling' - the process of taking in data and getting it into a form where value can be extracted. This can take 60% of a data scientist's time, leaving a small window for data modelling etc. Watch on to find out more about how Oracle Big Data Discovery is turning this on its head, by putting a visual face on Hadoop. For further information read the press release: https://www.oracle.com/corporate/pressrelease/enterprise-big-data-021915.html
Views: 286 OracleANZ
Hadoop competitive landscape: Oracle compared to IBM BigInsights
 
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http://www.ibmbigdatahub.com/ The sixth conversation between IBM software lab specialists about the value of BigInsights, IBM's Hadoop offering—this time with a comparison to Oracle—another vendor in the Big Data marketplace.
Views: 1388 IBM Analytics
Oracle Big Data
 
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Learn more about Oracle's big data applications and solutions at https://www.oracle.com/bigdata/index.... Watch this video explaining big data and the big data life cycle with Oracle's applications and solutions. This video explains big data using the analogy of a fishing trawler to explain the big data life cycle. Oracle helps businesses turn big data from different sources into better business decisions.
Views: 1231 Oracle Big Data
In-Database Container for Hadoop: When MapReduce Meets RDBMS
 
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Apart from Twitter, LinkedIn, Google, Facebook, Yahoo!, Amazon, and so on, the source of big data is predominantly transactional data in RDBMSs. For analyzing RDBMS data with MapReduce, you either ship the data to an external MapReduce cluster (data shipping) or bring MapReduce to the RDBMS (function shipping). This session describes a database-resident Hadoop container for running Hadoop mappers and reducers directly against RDBMS tables. In addition, the integration of Hadoop job steps in SQL queries makes it easier for non-Java developers to reuse them transparently. The session also discusses big data requirements beyond the MapReduce phase, including the warehousing phase, and quality of service (QoS) requirements (security, manageability, integration). Authors: Kuassi Mensah undefined View more trainings by Kuassi Mensah at https://www.parleys.com/author/kuassi-mensah-1 Garret Swart No bio available View more trainings by Garret Swart at https://www.parleys.com/author/garret-swart Find more related tutorials at https://www.parleys.com/category/developer-training-tutorials
Views: 118 Oracle Developers
Resurrection of SQL with Big Data and Hadoop
 
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See more Data U Conference session replays and download slides at http://embt.co/DBDataU Did you really think that SQL was going away? Attend this session to learn how SQL is a vital part of the next generation of data environments. Find out how you can use your existing SQL tools in the big data ecosystem. Oz Basarir is the product manager of Embarcadero's database management and development tools. Having worked over the last two decades with databases at a spectrum of companies as small as his own to as large as Oracle and SAP, he has an appreciation for diversity of the data ecosystems as well as for the tried-and-true languages (SQL). Learn more about DBArtisan and try it free at http://embt.co/DBArtisan Learn more about Rapid SQL and try it free at http://embt.co/RapidSQL Resurrection of SQL with Big Data and Hadoop Oz Basarir - Embarcadero Thursday, June 26, 2014 - 2pm
Oracle NoSQL Database - Getting Started
 
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In 20 minutes, this tutorial will get you started with Oracle NoSQL Database. You will install the product, learn common terminology and learn about the flexible options for Durability and Consistency. Also you will be given some suggestions for how to learn more about the product.
Views: 16584 Ron Cohen
Hadoop vs oracle
 
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Hadoop vs oracle
Views: 621 Ted Sanders

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