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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: 2249 Dell EMC Support
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.
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: 4574 Oracle Developers
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: 22842 Simplilearn
Setup Hive 01 (Introduction and setup metastore database)
 
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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: 7946 itversity
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: 5635 itversity
How to get and Process  Oracle data using Spark
 
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More spark videos follow http://www.bigdataanalyst.in
Hadoop Integration with ODI session 1
 
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ODI can be used to integrate data on Big Data through HIVE. There are many IKMs which ODI provides to integrate with Hadoop. By seeing this you would able to understand integration with Hadoop via ODI. IKMs Available as - -IKM File to Hive -IKM hive Control Append -IKM Hive Transform -IKM File-Hive to Oracle -CKM Hive -RKM Hive In my next video will publish how to integrate Hive with Oracle Data base via ODI. Thank you for watching.... Like, comment & share.
Views: 332 Ajeet Verma
How to configure SSIS for Hadoop Hive tables.
 
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Hive ODBC Driver for Microsoft SSIS
Views: 4993 Noa Cloud Analytics
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: 6230 datasourcetv
Loading Data into Hadoop
 
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A quick example of loading data into the Hadoop Distributed File System (HDFS) using Pentaho Kettle. http://community.pentaho.com/BigData
Views: 30628 Doug Moran
Oracle Big Data Discovery - Immediate value with Hadoop
 
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Find out how you can quickly turn raw data into actionable insight through Oracle Big Data Discovery.
Views: 911 Oracle Big Data
Introduction to PowerExchange for Hadoop Distrubuted File System (HDFS)
 
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This video is an introduction to PowerExchange for HDFS. This video decribes: 1. HDFS Connection Configuration 2. Run sessions to read and write to HDFS. 3. Partitioning
Views: 14743 Informatica Support
Oracle HDFS DataTransfer using Sqoop
 
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This video explains how we can transfer the structured data that persisted on Oracle database into HDFS. To process huge amount of data in multi node cluster irrespective of any format (structured, unstructured, semi-structured), we can use sqoop for data ingestion . Ideally, in Data lake we can ingeat any format of data to preccess and subsequeny analysis.
Views: 110 Online Guwahati
How to Install and Configure ODBC driver on Windows for Hadoop
 
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In this Video you will know to how to configure ODBC Driver for Hadoop in Windows download the Driver http://ouo.io/Zg6M2I
Views: 375 Ready4 Education
Simba Technologies Hadoop/Hive ODBC 3.52 Connector Overview
 
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George Chow, CTO at Simba, shows how you can directly access Hadoop-based data using the SQL-based analytics tool of your choice. Simba's ODBC 3.52 driver for Hadoop/Hive automatically converts standard SQL into HiveQL for easy data access and analytics. Want more information? Visit www.simba.com.
Connecting Oracle With Hadoop By Tanel Poder
 
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Topic: Connecting Oracle With Hadoop Speaker: Tanel Poder Videos thanks to Delphix! Thank you to our sponsors: Delphix, Pythian, and Gluent.
Views: 567 Oaktable
Oracle GoldenGate for Big Data | Michael Rainey
 
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Oracle ACE Director Michael Rainey gives you a full two minutes on Oracle GoldenGate for Big Data, including insight on its integration with Kafka.
Views: 1103 ArchBeat Archive
Hadoop Connector Demo | Integration with Mule
 
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The HBase Connector allows to connect to a Hadoop Database.
Views: 4430 MuleSoft Videos
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: 395264 Intricity101
Continuent Webinar: Real-time Data Loading from Oracle and MySQL into Kafka
 
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Apache Kafka has become an amazing conduit for getting data from one place to another, and also a surprisingly effective method of distributing data across servers and into alternatively database solutions such as Hadoop. Now that we can replicate data from Oracle and MySQL into Kafka, a whole variety of potential solutions are available to us. In this webinar, we’re going to look at the following features of the new Kafka applier: • Basic operation and deployments • Using replicator for concentration and dissemination to multiple targets • Kafka functionality and options • Filtering and massaging data during replication • Real-time and low-latency • Future features and plans Learn more at www.continuent.com
Views: 2665 Tungsten University
Apache Spark - Loading data from relational databases
 
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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: 14456 itversity
Connecting Sql server Integration services(SSIS) to Hive data on Cloudera/Hadoop
 
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Video demonstrates how to connect SQL server Integration services (SSIS) application to Hive data stored on a Cloudera VM. ODBC drivers for hive data are first installed and then an SSIS package with a conditional split transformation.
Views: 3347 Sanjay Kattimani
Partner Webcast – Oracle Data Integration for Big Data
 
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Data Integration For Big Data contains relevant importance for Oracle Partners. Having Big Data skills means more than simply employing a few data scientists. If they cannot be filled with top-level talent, this can pose a significant risk to the organization's performance. We live in a world increasingly driven by data and Enterprises have now realized they need to capitalize on data. How your organization defines its data strategy and approach—including its choice of big data and cloud technologies—will make a critical difference in your ability to compete in the future. Oracle Data Integrator for Big Data brings speed, ease of use and trust, addressing this growing need in the market by providing a future proof, powerful platform to build your enterprise around its Data Management framework. Presenter: Milomir Vojvodic| Senior Business Development Manager, DIS EMEA [Read More @ https://blogs.oracle.com/imc/entry/data_integration_for_bigdata]
Views: 1067 Oracle IMC
Getting started with SharePlex Connector for Hadoop
 
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http://Software.Dell.com/SharePlexDemo Learn how to install and configure SharePlex Connector for Hadoop, the big data software connector from Dell Software for Oracle to Hadoop replication.
Views: 582 Dell EMC Support
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: 8343 Attunity, Inc.
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: 2543 Bryan Downing
Wikibon's Kelly on the Hadoop Horserace Between Cloudera, Hortonworks and MapR
 
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During his keynote this morning, Oracle EVP of Product Development Thomas Kurian officially announced Oracle Big Data Appliance, the company's new big data appliance. It will consist of Oracle NoSQL Database, Hadoop, Oracle Data Integrator, Oracle Tools for Hadoop and Oracle Leader for Hadoop all running on the Java Virtual Machine on Oracle Enterprise Linux. Here's the diagram Kurian showed: Oracle Big Data Appliance Notice that the slide only says "Hadoop" -- it doesn't specify what distribution of Hadoop will be included or whether Oracle will be building its own. Oracle NoSQL is a distributed key-value data store based on Berkley DB, an embeddable database that Oracle acquired in 2006. You can find out more in this PDF data sheet from Oracle. A press release states that "Oracle Big Data Appliance is easily integrated with Oracle Database 11g, Oracle Exadata Database Machine, and Oracle Exalytics Business Intelligence Machine." Also, according to the release, Oracle will include Oracle R Enterprise, a technology we reported last week, with the appliance. And: "Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and Oracle R Enterprise will be available both as standalone software products independent of the Oracle Big Data Appliance." There's a big question right now as to what impact Big Data Appliance/Oracle NoSQL will have on the exiting NoSQL/big data market. I'd previously dismissed these new products as table stakes, but that was before it was clear that Oracle was pushing a Hadoop appliance and not just a Hadoop connector. Software industry analyst and advisor Curt Monash speculates that it will have little impact. However, Matt Aslet of the 451 Group notes that Oracle has essentially hijacked the NoSQL movement by naming its product "Oracle NoSQL." Aslet writes: We have previously noted that existing NoSQL vendors were turning away from the term in favor of emphasizing their individual strengths. How many of them are going to want to self-identify with an Oracle product? I'm not convinced any of them believe the brand is worth fighting for. It's an interesting dilemma. So far, the NoSQL vendors I'm hearing from are spinning this as a positive because Oracle is validating the NoSQL market. That's true, but there's some real brand hijacking going on here as well. One advantage other NoSQL vendors have is that the term has been in currency for a few years now. On the other hand, it's always been poorly understood. It's all going to come down to how much traction Oracle actually gains with its NoSQL and big data plays. Services Angle One of the big issues at play here is whether enterprises want expensive Oracle appliances, open core software running on commodity hardware or pay-as-you-go public cloud services. As Wikibon analyst Jeff Kelley notes, "Ellison knows Oracle needs to have some Hadoop/NoSQL offering, but the open source/commodity hardware/scale-out approach to Big Data is the antithesis of the Oracle way: closed source/Sun-only hardware/scale-up." Instead of choosing an established NoSQL database such as Apache Cassandra, Apache CouchDB, Apache HBase or MongoDB and contributing back to the community, Oracle opted for its own product with its own idiosyncratic license that prohibits the distrubition of software that embeds BerkleyDB without purchasing a license. That's better than a fully closed source offering, but it's a disappointment for the existing NoSQL and open source community. It's also unclear how well the standalone version of Oracle NoSQL will run on non-Oracle hardware. Meanwhile, Oracle is staying out of the public cloud for now, though I wouldn't be surprised to see public cloud Oracle NoSQL offerings from other providers such as Amazon Web Services and Savvis, both of which offer Oracle Database services. Whether anyone will use them is another question.
Views: 9895 SiliconANGLE theCUBE
Datawatch Monarch Personal Tutorial | 8 Using the Hadoop Hive Connector
 
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Monarch Personal allows you direct access to a wide variety of database types through a set of built-in data connectors. The connection dialogs for Hadoop Hive, DB2, Informix, MySQL, Cloudera Impala, Oracle, PostgreSQL, SQL Server, and Amazon Redshift are similar, although some data connections may require more information than others. This video shows us how to connect to Hadoop Hive. Note: Video uses Monarch Personal v 13.0.2
kafka connect api
 
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Kafka Connect API using a local file as a source and an existing 'MySecondTopic' topic to stream this data to. Any changes in the file are committed to the topic (*MySecondTopic") edit: config/connect-file-source.properties change these: file=text2 topic=MySecondTopic and create a file called 'text2' in the kafka directory and enter some text and save (use nano or similar) Then execute the following ./bin/connect-standalone.sh config/connect-standalone.properties config/connect-file-source.properties & Now check using a console consumer as before and the file contents should be added: ./bin/kafka-console-consumer.sh --bootstrap-server 192.168.1.235:9092,192.168.1.235:9093,192.168.1.215:9092 --topic MySecondTopic --from-beginning Next we look at using Postman to play with the REST API starting with: GET http://192.168.1.235:8083/connectors/local-file-source Change IP address to match your server. No authentication needed for this demo.
Views: 5122 Mon Goose
Cloudera and Oracle
 
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A display of The Oracle Big Data Appliance, an engineered system optimized for acquiring, organizing and loading unstructured data into Oracle Database 11g. The Oracle Big Data Appliance includes CDH, Oracle NoSQL Database, Oracle Data Integrator with Application Adapter for Apache Hadoop, Oracle Loader for Hadoop, an open source distribution of R, Oracle Linux, and Oracle Java HotSpot Virtual Machine. Find out more: http://cloudera.com/content/cloudera/en/solutions/partner/Oracle.html
Views: 2155 Cloudera, Inc.
Setup Sqoop - RDBMS connectors for import and export
 
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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: 1914 itversity
How to configure SQOOP? | How to import RDBMS data to HDFS?
 
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http://www.bigdataanalyst.in In this video i have explained how to import RDBMS data into HDFS. https://www.facebook.com/BigDataAnalyst
Running R in the Oracle Database
 
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A quick introduction to Oracle R Enterprise and some of the things you can do with it. More videos and details coming soon. Check out my blog at www.oralytics.com
Views: 8288 Brendan Tierney
Connecting to a Database with Alteryx Designer
 
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Bring in data from a table or SQL Query results from a database, such as SQL server using an ODBC connection. Note that your IT administrator will need to install and configured the ODBC driver as described in http://www.alteryx.com/techspecs and https://community.alteryx.com/t5/Alteryx-Knowledge-Base/Connecting-to-an-ODBC-Datasource/ta-p/17590.
Views: 24787 Alteryx
Attunity Connectors for TeraData & Oracle in SSIS Package - SSIS Interview Question
 
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In this SQL Server Integration Services(SSIS) Interview Question Video you will learn the answer of question " What are Attunity Drivers and why do we use them with SSIS?" How to connect to TeraData in SSIS Package How to Connect to Oracle in SSIS Package How to read data from Teradata and Oracle in SSIS Package How to Load data to TeraData and Oracle in SSIS Package Complete list of SSIS Interview Questions by Tech Brothers http://sqlage.blogspot.com/search/label/SSIS%20INTERVIEW%20QUESTIONS
Views: 8587 TechBrothersIT
Part 5: Big Data and Integrated Analysis
 
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Now we have valuable data in HDFS that we want to analyze. See how to apply structure to the raw data, filtering and transforming it. Then, using Big Data Connectors, we will run a SQL query combining data in both Hadoop and Oracle Database. For more information: http://www.oracle.com/bigdata
Views: 987 Oracle Big Data
Sqoop Connector
 
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About Sqoop Connectors, Sqoop Connection String, Sqoop command syntax, why we use -m 1
Attunity Visibility for Hadoop Demo
 
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Demo of Attunity Visibility for Hadoop.
Views: 1323 Attunity, Inc.
SQOOP Exporting Data From HDFS to MYSQL Using SQOOP in CLOUDERA for Beginners.
 
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Basic Video which will give you a basic idea of how to export data from HDFS to MYSQL database for beginners
Views: 4287 Aditya Verma
Getting Started - Setup Hortonworks sandbox - Virtualbox
 
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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/itversityin https://twitter.com/itversity
Views: 31755 itversity
Working with Oracle thin JDBC driver Part-1 | Advanced Java Tutorial
 
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Working with Oracle thin JDBC driver ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 Subscribe to our channel and hit the bell 🔔🔔🔔 icon to get video updates. 💡 Visit Our Websites For Classroom Training: https://nareshit.in For Online Training: https://nareshit.com #AdvancedJava #Iostreams #Tutorials #Course #Training -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 10014 Naresh i Technologies
How to Integrate Greenplum with Hadoop, Spark, and GemFire
 
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Typically big data analytical users require access to external data while maximizing performance and scaling the data transfer. Greenplum provides data integration to external systems such as Hadoop, Spark, and GemFire ecosystems. http://www.zdnet.com/article/pivotal-greenplum-is-alive-and-kicking/ https://twitter.com/Greenplum http://greenplum.org/blog/ Greenplum & Hadoop Integration: In this session, we will introduce the Greenplum Platform Extension Framework (PXF) that integrates with external data sources such as HDFS, Hive and other formats in the Hadoop ecosystem. We will also discuss some use cases for using PXF. Greenplum & Spark Integration: We will discuss Greenplum-Spark Connector that parallelizes data transfer from Greenplum into Spark environment. The primary use cases are for in-memory data exploration, in-memory analytics, and ETL processing. Greenplum & GemFire Integration: We will discuss the GemFire-Greenplum Connector that loads and unloads data between Greenplum and GemFire. GemFire is a highly scalable in-memory data grid that stores data analytics from Greenplum. For example, GemFire easily scales to millions of requests with sub-millisecond response time and customers use this connector to deliver hybrid analytics processing system that uses Greenplum and GemFire. In general, we will discuss data integration with Greenplum and common use cases for accessing external data. Samples codes and examples will be demonstrated so you can quickly get started to access external data from Greenplum. About the Speaker: Kong-Yew, Chan works as Product Manager at Pivotal Software. Prior to Pivotal, Kong led integration team at Hewlett Packard Enterprise - Data Security. He has extensive experience in Product Development and Management. He holds Bachelors of Applied Science (Computer Engineering) from the Nanyang Technological University, Singapore and MBA from Babson College. Find him on Twitter (@kongyew) and LinkedIn ( https://www.linkedin.com/in/kongyew ).
Views: 600 Greenplum Database
Integrating Cassandra with Hadoop | Cassandra - Hadoop Integration Tutorial | Edureka
 
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Watch sample class recording: http://www.edureka.co/cassandra?utm_source=youtube&utm_medium=referral&utm_campaign=cass-hadoop Companies are realizing they can mine valuable business intelligence to improve decision making and gain competitive edge. Tools such as Hadoop and Cassandra are making all of this possible and because of it, NoSQL skills at all levels are in extremely high-demand.” – Analysts on TechRepublic. This video gives a brief insight of integrating cassandra with hadoop.It covers the following topics : - 1.cassandra vs hadoop 2.Various data model 3.Map reduce flow 4.Hadoop mapper 5.Hadoop reducer 6.Pig Reading data 7.Hive DDL Example Related Blogs: http://www.edureka.co/blog/why-learn-cassandra-with-hadoop/?utm_source=youtube&utm_medium=referral&utm_campaign=cass-hadoop http://www.edureka.co/blog/importance-of-data-science-and-how-it-works-with-cassandra-2/?utm_source=youtube&utm_medium=referral&utm_campaign=cass-hadoop 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. The topics related to 'Integrating Cassandra with Hadoop’ have been covered in our course ‘Apache Cassandra’. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free).
Views: 8263 edureka!
Working with Type2 JDBC driver for Oracle (OCI driver) | Advanced Java Tutorial
 
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Working with Type2 JDBC driver for Oracle (OCI driver) Oracle Call Interface (OCI) ** For Online Training Registration: https://goo.gl/r6kJbB ► Call: +91-8179191999 Subscribe to our channel and hit the bell 🔔🔔🔔 icon to get video updates. 💡 Visit Our Websites For Classroom Training: https://nareshit.in For Online Training: https://nareshit.com #AdvancedJava #Iostreams #Tutorials #Course #Training -------------------------- 💡 About NareshIT: "Naresh IT is having 14+ years of experience in software training industry and the best Software Training Institute for online training, classroom training, weekend training, corporate training of Hadoop, Salesforce, AWS, DevOps, Spark, Data Science, Python, Tableau, RPA , Java, C#.NET, ASP.NET, Oracle, Testing Tools, Silver light, Linq, SQL Server, Selenium, Android, iPhone, C Language, C++, PHP and Digital Marketing in USA, Hyderabad, Chennai and Vijayawada, Bangalore India which provides online training across all the locations -------------------------- 💡 Our Online Training Features: 🎈 Training with Real-Time Experts 🎈 Industry Specific Scenario’s 🎈 Flexible Timings 🎈 Soft Copy of Material 🎈 Share Videos of each and every session. -------------------------- 💡 Please write back to us at 📧 [email protected]/ 📧 [email protected] or Call us at the USA: ☎+1404-232-9879 or India: ☎ +918179191999 -------------------------- 💡 Check The Below Links ► For Course Reg: https://goo.gl/r6kJbB ► Subscribe to Our Channel: https://goo.gl/q9ozyG ► Circle us on G+: https://plus.google.com/+NareshIT ► Like us on Facebook: https://www.facebook.com/NareshIT ► Follow us on Twitter: https://twitter.com/nareshitek ► Follow us on Linkedin: https://goo.gl/CRBZ5F ► Follow us on Instagram: https://goo.gl/3UXYK3
Views: 6005 Naresh i Technologies
About Oracle Integration
 
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Use Oracle Integration to automate processes, integrate applications and data, build custom web and mobile applications, and analyze metrics. All in one place. ================================= To improve the video quality, click the gear icon and set the Quality to 1080p/720p HD. For more information, see http://www.oracle.com/goto/oll and http://docs.oracle.com. 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.