Big Data Integration

Big Data Integration

  • New Hive Snap – The new Snap for the Apache Hive data warehouse automates execution of DML and DDL statements for rapid querying.
  • New Teradata Snap – This Snap connects a Teradata database as part of an integrated data pipeline for enhanced business analytics.
  • Enhanced encryption for the Hadooplex – Allows cloud service and database credentials to be stored and encrypted under the customer’s control without leaving the SnapLogic environment.

More on SnapLogic integration for big data here.

Self-Service Data Transformation

Building on SnapLogic’s focus on ease of use and self-service, the Spring 2016 release introduces improved automated data transformation capabilities that take an expression from a source system, evaluate and “map” it to the target system with minimal manual intervention as part of an integrated data flow pipeline.

The improved Mapper Snap makes it faster and simpler to search, filter and map the thousands of entries in a complex schema tree.

New and Improved Snaps

New and Improved Snaps

In addition to the new big data integration Snaps, the Summer 2016 release includes:

  • Enhancements to the Anaplan Snap Pack to support better handling of input errors to aid in data governance.
  • Updated Tableau Snap Pack lets users write, format and extract data from the current version of Tableau for advanced business analytics.
  • Updates to Snaps for Google Analytics, NetSuite and SAP HANA to improve performance.

Learn more about SnapLogic Snaps Here.

Enterprise Governance and Auditability

The Summer release also enhances the SnapLogic elastic integration platform with:

  • Improved pipeline performance – a seamless way to auto-shard documents across all nodes in a Snaplex, helping customers to take full advantage of parallel data flow performance, particularly where I/O or CPU are the gating factors.
  • Pipeline parameters – user-defined parameters to be used during pipeline execution can now be logged and retained with runtime history.
  • Restrict triggered tasks – now users can limit invocation of triggered tasks to one instance at a time for more granular control.
  • Whitelist IP ranges for cloud triggered executions – administrators can now whitelist IP address ranges to restrict triggered tasks to only run on URLs in the specified range.

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