Posts Tagged 'big data integration'

Data Management Requirements for the Enterprise Data Lake

snaplogic_logo_accelerateSnapLogic published Eight Data Management Requirements for the Enterprise Data Lake. They are:

  1. Storage and Data Formats
  2. Ingest and Delivery
  3. Discovery and Preparation
  4. Transformation and Analytics
  5. Streaming
  6. Scheduling and Workflow
  7. Metadata and Governance
  8. Security

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.

 

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5 Signs You Need Better Cloud Integration

I recently participated in an online web conference called Cloudcon 2015: Integration and Web APIs where I reviewed 5 signs you need better cloud integration:

  1. You’re Struggling with the Integrator’s Dilemma
  2. You Have Unintegrated Integration:
  3. You Thought Cloud = API Utopia
  4. You Still Have Swivel Chair Integration
  5. You’re Considering Going Back to On-Prem Due to Diminishing SaaS Returns

It’s a topic I wrote about in this blog post last year. Here’s the recording of the presentation, which also includes an overview of the SnapLogic Elastic Integration Platform and a Q&A session with Vance McCarthy from Integration Developer News.

Avoiding Same Old Same Old (SO SO) Integration

I recently presented to the San Francisco data management association (DAMA) on The Impact of SMACT on the Data Management Stack. The presentation reviewed what we call the Integrator’s Dilemma, which is faced when legacy integration tools are no longer effective in the new world of Social, Mobile, Analytics, Cloud Computing and the Internet of Things (SMACT) and summarized some of the drivers for changes to the modern data management stack. Check out the SnapLogic blog post for a review of the top 5 changes.

When it comes to avoiding Same Old, Same Old (SO SO) integration, the 5 recommendations are:

  1. Determine if you’re suffering from the “Integrator’s Dilemma”
  2. Review your Integration Competency Center / Center of Excellence practices
  3. Do an audit of your cloud applications currently in use
  4. Dig into Hadoop
  5. Investigate AWS Redshift other cloud data warehouse/ business intelligence / analytics options

The presentation is embedded below. Feedback welcome!


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