SnapLogic was front-and-center at AWS re:Invent last week in Las Vegas, with our team busier than ever meeting with customers and prospects, showcasing our solutions at the booth, and networking into the evening with event-goers interested in all things Cloud, AWS and SnapLogic.
Ravi Dharnikota, SnapLogic’s Head of Enterprise Architecture and Big Data Practice, took time out to stop by and visit with John Furrier, co-founder of the live video interview show theCUBE. Ravi was joined by Matt Glickman, VP of Products with our partner Snowflake Computing, for a wide-ranging discussion on the changing customer requirements for effective data integration, SaaS integration, warehousing and analytics in the cloud.
The roundtable all agreed — organizations need fast and easy access to all data, no matter the source, format or location — and legacy solutions built for a bygone era simply aren’t cutting it. Enter SnapLogic and Snowflake, each with a modern solution designed from the ground-up to be cloud-first, self-service, fully scalable and capable of handling all data. Customers using these solutions together — like Kraft Group, owners of the New England Patriots and Gillette Stadium — enjoy dramatic acceleration in time-to-value at a fraction of the cost by eliminating manual configuration, coding and tuning while bringing together diverse data and taking full advantage of the flexibility and scalability of the cloud.
To make it even easier for customers, SnapLogic and Snowflake recently announced tighter technology integration and joint go-to-market programs to help organizations harness all data for new insights, smarter decisions and better business outcomes.
To watch the full video interview on theCUBE, click here.
Gone are the days when enterprises had all of their apps and data sources on-premises. Today is the era of big data, cloud and hybrid deployments. More and more enterprises are rapidly adopting different SaaS applications and hosting their solutions in public clouds including Amazon Web Services and Microsoft Azure. But soon enterprises realize that their SaaS applications and on-premises data sources are not integrated with their public cloud footprint and the integration itself becomes an expensive and time consuming undertaking.
Next up in our ongoing podcast series: an episode on the “lifecycle of data” featuring our guest, Enterprise Solution Architect Rich Dill. The series is hosted by our own head of enterprise architecture, Ravi Dharnikota.
In this episode, Ravi Dharnikota and Rich Dill discuss the lifecycle of data, including the transition of data storage and processing to the cloud, the implications of distributed data, a “multi-tiered data lifecycle,” and the evolution of the data lake.
You can view and subscribe to the entire series here.
You may have seen our recent announcement about the availability of a SnapLogic Snaplex for Azure in the Microsoft Azure Marketplace. This is the latest development in our growing partnership with Microsoft, and a huge step forward in our support for Microsoft customers adopting a cloud-centric or hybrid cloud infrastructure.
Why is SnapLogic a good fit for Microsoft cloud services? The SnapLogic Elastic Integration Platform architecture is naturally well-suited for consuming and moving large data sets to and from the cloud and for cloud-to-ground data flows, so it’s the ideal data integration solution for Microsoft Azure data stores, HDInsight (Spark and Hadoop clusters in the cloud) and Cortana Intelligence solutions.
We also support Microsoft customers with Snaps – our pre-built intelligent connectors – for Azure SQL Data Warehouse, SQL Database and Blob Storage, plus on premises SQL Server, Microsoft Dynamics, Active Directory and more. So we’re able to support Microsoft customers whether they are operating completely on premises, in the cloud, or a combination of the two.
As noted in the announcement, we are pleased to partner with Microsoft to help democratize business analytics with fast, self-service connectivity between data sources and Microsoft cloud solutions. The combination of SnapLogic, Microsoft Azure and the Cortana Intelligence Suite (formerly Cortana Analytics) delivers seamless ‘analytics-as-a-service’ for the enterprise.
Coming soon: more details about our support for Microsoft HDInsight. Stay tuned…
IT organizations are challenged like never before with several disruptive changes, and the popularity of SaaS offerings has driven the first wave of cloud-to-on-premises system integration. As hybrid clouds proliferate, and as workloads shift across these disruptive venues, enterprises must now consider a thoughtful and strategic approach to hybrid cloud integration.
Join us for a Webinar: Hybrid Cloud Integration on Wednesday, June 17th at 10am PDT / 1pm EDT for a discussion with 451 Research analyst Carl Lehmann on the following:
The business and technical trends driving hybrid cloud integration
How hybrid cloud integration is different from traditional approaches to integration, and why it matters
Cloud integration challenges and how to overcome them
How a reference architecture can help craft integration strategy
Webinar attendees will have the opportunity to build a business case for hybrid cloud integration, and blueprint the practices, techniques and tools needed to integrate on-premises and cloud resources so they operate and adapt as a uniform platform for business operations. We will also feature a live demo of the SnapLogic Elastic Integration Platform as a modern tool for hybrid cloud integration. Register here.
For more on the benefits of further combing integration technologies, 451 Research recently posted this report on extending beyond cloud big data integration into the Internet of Things, featuring our Spring 2015 release.
It’s technology predictions season! In this video, SnapLogic co-founder and CEO Gaurav Dhillon shares his predictions for cloud computing and big data in 2015, including:
Cloudification: More people in business will be using applications in the cloud, causing ”cloudification” to happen in a big way in 2015.
Self-Service: There will be a greater expectation of self-service and consumer-friendly technologies; customers won’t put up with complicated ways of doing things and vendors will be expected to do the work.
Big Data: The big data projects are going to have to get to a more straightforward ROI or die.