SnapLogic was in New York this week for Strata + Hadoop World NYC, and our CTO James Markarian took the opportunity to sit down with Dave Vellante and George Gilbert, hosts of theCUBE, for a wide-ranging discussion on the shifting big data landscape.
Join us on Thursday, September 22nd during this live webinar to hear SnapLogic customer Alan Leung of Box talk about how he architected and implemented Box’s connected infrastructure of SaaS applications like Salesforce and Zuora and cloud data stores such as Amazon Web Services.
Another release is in the books – today we announced the Summer 2016 SnapLogic platform update, along with several additions and improvements to our Snap library. The release brings additions for big data integration, self-service integration, and enterprise governance and control.
As our VP Engineering Vaikom Krishnan put it:
“SnapLogic continues to break down the barriers between data and application integration in the enterprise with a converged platform that is built for self-service. The Summer 2016 release further enhances our Snap library and resources for Snap developers to help support our vision of ‘anything, anytime, anywhere’ integration.”
Highlights of this “Snappy” release include:
- New Snaps for Apache Hive and Teradata
- Major updates to Snaps for Anaplan and Tableau
- Enhancements to the Mapper Snap that make it faster and simpler to search, filter and map the entries in a complex schema tree
- User-defined pipeline parameters can now be logged and retained with runtime history in order for administrators to audit API usage and quickly debug pipeline performance issues
- A new, seamless way to auto-shard documents across all nodes in a SnapLogic data processing Snaplex, leveraging the power of all nodes and boosting data integration performance
- Users can now limit invocation of triggered tasks to one instance at a time for more granular control and to avoid overloading resources.
We’re also excited for the launch of the new Snap developer site. It’s easy to use, mobile-friendly and full of practical guidance for our customers and partners building and maintaining their own Snaps.
For more information on the Summer 2016 release, including demo videos, see: https://www.snaplogic.com/summer2016
Data visualization is a hot topic, but is only useful when the most up-to-date data is made available. This SnapLogic Live session features Tableau Integration for customers seeking rapid integration to connect Tableau with other cloud and on-premises applications and data sources.
Short answer to that provocative question: no – it’s just changing. Our data integration road show hit four U.S. cities over the past two weeks. The keynote presentation was delivered by James Markarian, SnapLogic’s CTO. He shared his perspective on modern data management, the role of the data warehouse in a hybrid cloud environment, and important considerations for an enterprise data lake strategy.
We were also joined by our partner, Amazon Web Services, who highlighted their cloud data management platform, with an emphasis on Amazon Redshift. Together we highlighted some of the joint SnapLogic/AWS success stories around hybrid cloud data integration, including GameStop, Box, CapitalOne, and eero.
The bulk of James’ keynote focused on the changes to the data landscape that are affecting the role and structure of the data warehouse. He described “data warehousing 1.0” from the 1980’s which introduced a convenient, single place to warehouse all data, but which was expensive and reliant on scripting to integrate sources. He contrasted that with “data warehousing 2.0” of the 1990’s which saw the rise of ETL processes and data marts, but which was still rigid and typically on-premises. Since that era, however, data warehousing has remained generally static. Now, with the dramatic increase in unstructured/polystructured data, plus cloudification of data sources, data warehousing 2.0 has fallen a bit short. Enter the data lake. James cautioned the audience not to think of a data lake as an amorphous, no-rules dumping ground for unstructured data. Instead, he identified multiple “zones” within the data lake, each of which has certain requirements, rules and uses.
Finally, James illustrated how lakeshore data marts and cloud-based data warehouses – connected using SnapLogic – address some of the risk and high labor costs that can be associated with Hadoop-centric data lakes.
Attendees – some of whom were already far along in their data lake adoption journey and some still in a “data warehouse 2.0” environment – certainly left with food for thought. Watch this space for the next time SnapLogic comes to a city near you.
In the mean time, don’t forget to subscribe to our data management podcast series called SnapTalk.
Take a look at our new video outlining SnapLogic’s various points of integration with Microsoft and the Azure and Cortana ecosystems. This is the latest in a series of announcements and go-to-market activities we’ve done over the last nine months regarding our work with Microsoft, including our initial partnership announcement.
Produced in conjunction with Microsoft, this brief video features SnapLogic’s VP of Product Management, Craig Stewart. In it, Craig discusses how SnapLogic’s hybrid architecture is a natural fit for consuming and moving large data sets between on premises sources and the cloud, making it the ideal integration solution for Microsoft Azure data stores, HDInsight and Cortana Intelligence solutions.
The video also explores SnapLogic’s many Snaps for Microsoft solutions including Azure SQL Data Warehouse, Azure SQL Database, Azure Active Directory, Azure SQL Bulk Load and Blob Storage, plus on-premises Microsoft SQL Server, Dynamics, Active Directory and more.
Stay tuned for more additions to our library of solutions for Microsoft Azure, HDInsight, and Cortana customers.