On the move with Big Data (Hadoop, Pig, Sqoop, SSIS...)
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Stéphane Fréchette gives an overview of moving data with Big Data tools. He discusses Apache Hadoop and its ecosystem including HDFS, MapReduce, Pig, Sqoop, and Hive. He also discusses SQL Server Integration Services (SSIS) and Windows Azure HDInsight, a Hadoop service from Microsoft. The presentation includes demos of moving data between these tools and resources for further information.
On the move with Big Data (Hadoop, Pig, Sqoop, SSIS...)
- 1. On the move with Big Data Hadoop, Pig, Sqoop, SSIS… Stéphane Fréchette Thursday February 13, 2014
- 2. Who am I? My name is Stéphane Fréchette SQL Server MVP - I’m a Database & Business Intelligence Professional and Founder | CEO of I have a passion for architecting, designing and building solutions that matter. Self proclaimed Open Data Hacker/Advocate I founded Gatineau Ouverte a citizen led initiative which aims to promote open access to civic data of the city of Gatineau. Twitter: @sfrechette Blog: stephanefrechette.com Email: [email protected]
- 3. Session Outline • What is Big Data? • Apache Hadoop • Hadoop Ecosystem • Windows Azure HDInsight • On the move… • SSIS, Sqoop, Pig • Demos • Resources
- 4. What is Big Data? 4
- 5. Apache Hadoop • Open-source software framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models • Designed to scale up from single servers to thousands of machines, each offering local computation and storage
- 6. Hadoop Ecosystem • Core components; • HDFS (Hadoop Distributed File System) -> Storage • MapReduce -> Processing
- 7. What is Pig? • Write complex MapReduce jobs using a simple script language (Pig Latin) • A platform for analyzing large data sets that consists of high-level language for expressing data analysis programs • Pig translates and compiles complex MapReduce jobs on the fly http://pig.apache.org
- 8. What is Sqoop? • Command-line interface application to transfer bulk data between Hadoop and relational datastores http://sqoop.apache.org
- 9. What is Hive? • A data warehouse infrastructure built on top of Hadoop for providing data summarization, query, and analysis • Provides an SQL-Like language called HiveQL to query data • Integration between Hadoop and BI and visualization tools http://hive.apache.org
- 10. What is SSIS? • SQL Server Integration Services is a platform for data integration and workflow applications. A fast and flexible tool used for data extraction, transformation, and loading (ETL). • Contains rich set of built-in tasks and transformations; tools for constructing packages… • Used to solve complex business problems
- 11. Windows Azure HDInsight • HDInsight is a Hadoop-based service from Microsoft that brings a 100 percent Apache Hadoop solution to the cloud • Based on the Hortonworks Data Platform • Scalable, on-demand service
- 12. Demos (let’s move some data…)
- 13. Resources • • • • • • • • • Apache Projects (list with links) http://bit.ly/MfpLtE Windows Azure HDInsight http://bit.ly/1dnlAX1 HDInsight Tutorials and Guide http://bit.ly/LWRYol Hortonworks Sandbox 2.0 http://bit.ly/1gkkCte Hortonworks Tutorial Gallery http://bit.ly/1nvMAEX Microsoft JDBC Driver 4.0 for SQL Server http://bit.ly/1kEgJ7O Microsoft Hive ODBC Driver http://bit.ly/NFkhcH GitHub: WindowsAzure / azure-content http://bit.ly/1hfthlF SSIS Custom Task – Disorderly Data (Ken Ross) http://bit.ly/1nvIH2G • GitHub https://github.com/kzhen/SSISHDFS
- 14. What Questions Do You Have?
- 15. Thank You For attending this session