What You Need to Know About Modern Data Integration

dave_linthicumLast week we hosted a webinar with industry analyst, thought leader and author David Linthicum that focused how the enterprise problem domains are changing and how data integration technology must change with it. The presentation boiled this down to 5 critical and lesser known data integration requirements, how to understand them, and how to pick the right approaches and technology to solve the problems.

According to David, the 5 most critical things to understand about modern data integration are:

  1. Workloads and data are likely to be distributed across traditional systems, private clouds, and public clouds.
  2. Data is growing quickly, with big data and data lakes common within most enterprises.
  3. Data must be delivered in real-time, on-demand, in support of most modern applications and business processes.
  4. Security is now systemic, it can no longer be an after thought.
  5. DevOps is the new standard for building and deploying applications and data store.

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Webinar: 5 Critical Things to Understand About Modern Data Integration

Linthicum-webinar-graphicData integration is not optional. It is a fundamental technology that binds systems and data together to drive the business. The importance of data integration is self-evident. However, in the changing world of IT, the path to effective data integration approaches and technology seems to be out of reach for even the most innovative and well-funded enterprises. The gap seems to be more about understanding than capabilities. Let’s fix that problem.

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New With the Spring 2016 Release: Data Ingest-Prep-Deliver for Microsoft HDInsight

SnapLogic continues to build on its momentum in cloud-based data management with new support for HDInsight, Microsoft’s big-data-as-a-service on Azure. This follows our other recent announcements regarding support for the Microsoft Azure and Cortana ecosystem including availability in the Azure Marketplace. Continue reading “New With the Spring 2016 Release: Data Ingest-Prep-Deliver for Microsoft HDInsight”

It’s Time to Re-Think Integration #NewIntegrationLeader

re-think-integrationThe Gartner report: CIO Call to Action: Shake Up Your Integration Strategy to Enable Digital Transformation, notes that, “Integration technology from traditional players is no longer the safest choice and may harm short-term productivity.” Continue reading “It’s Time to Re-Think Integration #NewIntegrationLeader”

4 iPaaS Use Cases: Accelerating Hybrid Cloud and Big Data Integration

With the recent publication of the Gartner Magic Quadrant for Enterprise Integration Platform as a Service (iPaaS), the awareness of a new approach for connecting data, applications, APIs and the Internet of Things is on the rise. A good example is the recent feature in NetworkWorld on the category: iPaaS: What this cloud technology is and why it’s important, which includes an overview of SnapLogic customer GameStop.

3_As_integrationThe right iPaaS solution should be built to connect the 3 A’s of enterprise integrationAnything (data, apps, APIs, things), Anytime (real-time, batch, streaming), Anywhere (cloud, on prem, hybrid). I’m often asked what are some of the most common iPaaS use cases today.

Here are four:

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iPaaS: The Cooler, Hipper ETL and ESB at GameStop

SnapLogic customer GameStop was featured in a great write up on the integration platform as a service (iPaaS) market today in NetworkWorld: iPaaS: What this cloud technology is and why it’s important. The article highlights how, “iPaaS vendor SnapLogic shows how many cloud-based apps, from Salesforce or Workday, Hadoop and IoT can be integrated into an iPaaS and then streamed into on-premises systems.” Continue reading “iPaaS: The Cooler, Hipper ETL and ESB at GameStop”

Eight Data Management Requirements for the Enterprise Data Lake

SnapLogicDataLakeMgmt01itbe_logoThis article originally appeared as a slide slow on ITBusinessEdge: Data Lakes – 8 Data Management Requirements.

2016 is the year of the data lake. It will surround, and in some cases drown the data warehouse and we’ll see significant technology innovations, methodologies and reference architectures that turn the promise of broader data access and big data insights into a reality. But big data solutions must mature and go beyond the role of being primarily developer tools for highly skilled programmers. The enterprise data lake will allow organizations to track, manage and leverage data they’ve never had access to in the past. New enterprise data management strategies are already leading to more predictive and prescriptive analytics that are driving improved customer service experiences, cost savings and an overall competitive advantage when there is the right alignment with key business initiatives. Continue reading “Eight Data Management Requirements for the Enterprise Data Lake”