In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked:
What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space?
There are three trends that I believe are fundamentally changing the world of data.
The first is the shift to the cloud. Rapid provisioning, ease of use, and cost are just a few of the drivers as data gravity continues to shift.
(Data gravity means that when a large data set is sitting in a large Hadoop or Splunk instance in an on-premises system, it doesn’t make sense to load all that data into the cloud to run analytics functions. Instead, one would ship the function to the data and return results. Being able to do this seamlessly can greatly simplify integration pipelines.)
Also driving this trend is the fact that cloud data warehousing and analytics have moved from rogue departmental use cases to enterprise deployments.
The second trend is the data lake and how to complement, extend — and in some cases replace — the traditional data warehouse with a reference architecture that is built to handle all new and future sources and enable more proactive and predictive analytics.
The third trend is the Internet of Things (IoT). It’s already happening today in some industries with data velocity, variety, and, of course, volume. What’s more important, though, is the kinds of analytics and insights that will become possible because of IoT sensors, wearables, and devices — once organizations figure out how to separate signal from noise through the right data management techniques.
He was also asked about the drivers for modern integration platforms, whether you call it iPaaS or HIP or something else:
- The end of the ETL and ESB cycle
- The need for speed
- Hybrid infrastructure
Be sure to check out the entire interview and share your feedback.
This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are:
- Application integration is done primarily through REST & SOAP services
- Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses
- Integration has to support the continuum of data velocities starting from batch all the way to continuous streams
- Integration is event-based rather than clock-driven
- Integration is primarily document- centric
- Integration is hybrid and spans cloud-cloud and cloud-ground scenarios
- Integration itself has to be accessible through SOAP/REST APIs
- Integration is all about connectivity… connectivity connectivity
- Integration has to be elastic
- Integration has to be delivered as a service
I’ve embedded the presentation below.
SnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are:
- Storage and Data Formats
- Ingest and Delivery
- Discovery and Preparation
- Transformation and Analytics
- Scheduling and Workflow
- Metadata and Governance
The post originally appeared on ITBusinessEdge as a slide show. The company also recently hosted a webinar on Democratizing the Data Lake with Constellation Research and published 2 whitepapers from Mark Madsen.
Last week SnapLogic posted the company’s mission on their blog, which is focused on accelerating how enterprise integration technology is delivered in the enterprise. The company is growing rapidly and hiring. Here is the their mission statement:
It’s time to rethink integration.
Integrating data and applications with legacy products is slowing down your business.
What you’re running now is no longer running fast enough for today’s business needs.
But what if you could eliminate the pain of integration and get to its promise?
To prioritize outcomes over process.
To enable your enterprise with a modern solution.
With SnapLogic you can.
SnapLogic brings all your data together, at incredible speeds and
with an ease never known before.
Data, applications, and APIs—from any source, anywhere.
Instead of coding, you merely drag and drop intelligent connectors in the cloud.
They fit together seamlessly.
In a snap.
You’ll connect faster and more efficiently, enabling you to become a more agile business.
Whether it’s maximizing investments in big data, or getting new products to market faster.
Whatever your enterprise strategy, SnapLogic gets you there easier and quicker.
And wasn’t that what integration was supposed to do in the first place?
Don’t let your legacy integration solution be your legacy.
It’s time to let go of those old ideas.
It’s time to operate at the speed of modern business.
You can learn more about SnapLogic on the company’s website.