Today’s post comes from Joseph A. di Paolantonio, an industry expert working at the convergence of IoT with data management and analytics at DataArchon.com and the Boulder BI Brain Trust. Leveraging a career that started with renewable energy research in graduate school and industry, developing risk assessment models and algorithms for aerospace systems, and managing teams for enterprise data warehousing, BI and data science, Joseph is defining sensor analytics ecosystems to bring value from the IoT.
What’s IOT All About
We have been asking what the IoT is all about for a very long time. Since Kevin Ashton first coined the phrase in 1999, and perhaps even since Nikola Tesla first played with a remote control boat in 1898. For many, the simple act of connecting a device, not a computer, not a router, to the Internet is enough. But even if everything around us, in work, at home, for business, for play, was connected..Does this make the Internet of Things? Does this fulfill much of the hype or any of the stories surrounding the IoT? Not at all.
Last week we attended Workday Rising in Chicago where we talked to attendees about integrating Workday with the rest of their IT ecosystems. The real stars of the show, however, were our customers from Vassar College who gave a brief presentation at our booth to discuss their journey from finding the need for an integration vendor, to assessing different platforms, to ultimately choosing SnapLogic’s elastic integration platform as a service (iPaaS).
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.
SnapLogic CTO James Markarian recently appeared as a guest on DisrupTV, a weekly live-interview web-series produced by analyst firm Constellation Research and hosted by R “Ray” Wang and Vala Afshar. The trio discussed a variety of enterprise topics including modern data management, data lake strategy considerations and big data analytics.
SnapLogic co-founder and CEO Gaurav Dhillon sat down recently with Scott Kupor, managing partner at Andreessen Horowitz, for a wide-ranging podcast discussion of all-things-data.
The two discussed how the data management landscape has changed in recent years, the rise of advanced analytics, the move from data warehouses to data lakes, and other changes which are enabling organizations to “take back their enterprise.”
Last week, part of the SnapLogic team was in New York City for the Strata/Hadoop World conference. It’s one of the largest big data events in the U.S. and has grown steadily larger over recent years. The agenda has shifted a bit as well – from largely academic discussions and how-to presentations by open source committers to real-world case studies by non-ISV enterprises.
With that in mind, I’d like to share a story from one of our enterprise customers. In fact, this customer is a 100+ year old financial institution. Perhaps not a company that you would associate with the cutting edge of data management technologies… Due the nature of their industry, I can’t share their name.
Like many established companies, this bank’s data processing and storage systems have been acquired or added over the years based on the most pressing needs and compliance requirements at the time. They ultimately found themselves trying to manage an unwieldy mix of 240+ interfaces and applications. Continue reading “A Data Lake For Banking: A SnapLogic Story”
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.