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On the move with Big Data
Hadoop, Pig, Sqoop, SSIS…

Stéphane Fréchette
Thursday February 13, 2014
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: stephanefrechette@ukubu.com
Session Outline
• What is Big Data?
• Apache Hadoop
• Hadoop Ecosystem
• Windows Azure HDInsight
• On the move…
• SSIS, Sqoop, Pig

• Demos
• Resources
What is Big Data?

4
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
Hadoop Ecosystem
• Core components;
• HDFS (Hadoop Distributed File System) -> Storage
• MapReduce -> Processing
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
What is Sqoop?
• Command-line interface application to transfer bulk data between Hadoop
and relational datastores

http://sqoop.apache.org
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
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
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
Demos
(let’s move some data…)
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
What Questions Do You Have?
Thank You
For attending this session

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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: stephanefrechette@ukubu.com
  • 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
  • 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