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Three Big Data Integration Plays to Drive More Value from Big Data


March 3, 2015 - 6 Comments

Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage.

The Value of Big Data Integration

Big data itself can provide significant insight, impact and advantage. These outcomes can be multiplied when big data is combined with existing enterprise data or even other big data. These insights can lead to enriched customer engagement, faster new product innovation, higher returns on capital and more. The possibilities are endless. And your competition has the same objectives.

As a result, integrating big data intelligently is a challenge on nearly everyone’s short list. Three patterns of integration have formed around big data integration.

Cisco Data Virtualization is proving a key enabler, delivering many of the capabilities required. With Cisco UCS and key partners including Appfluent, Cloudera, Hortonworks, Informatica and MapR providing additional value add.

Integration Pattern 1 – Hadoop to Hadoop Integration 

The Cisco Hadoop-to-Hadoop Data Integration solution provides a more agile and faster way to access and query multiple Hadoop clusters. This solution enables even “bigger” big data analytics for greater insights and business impacts.

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Integration Pattern 2 – Hadoop to Enterprise Integration 

The Cisco Hadoop-to-Enterprise Data Integration solution provides a more agile and faster way to bring together traditional enterprise data with the new world of big data. Accessing and querying both Hadoop and enterprise data enriches the analytic opportunities and results in better business decisions.

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Integration Pattern 3 – Data Warehouse Optimization Integration

With data warehouse data doubling every two years, data warehouse costs are skyrocketing. To reduce these ever-growing warehouse management costs Cisco and Informatica recently announced a joint Data Warehouse Optimization solution.

This offering combines the hardware, software and services required to successfully offload processing and storage from data warehouses to Hadoop. Not only does it significantly reduce costs, the solution also help organizations integrate and analyze more data and types of data, and thus drive greater business impacts.

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At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.

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Learn More

To learn more about these solutions and how Cisco’s rich portfolio of big data and analytics solutions can help you unlock the value of your big data, check out these two on-demand seminars:

Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions

Analytics Solutions for Driving Better Business Outcomes

 

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Learn More from My Colleagues

Check out the blogs of Mala AnandMike Flannagan and Nicola Villa to learn more.



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6 Comments

  1. Renee - Yes i have slides. Let me send them to your in email. Bob

  2. Great blog post sir. Just a thought, wouldn't integration with public cloud like AWS or Google Compute Engine be use case too ?

    • Jasdeep - Spot on. This is especially relevant for Cisco as the cloud also introduces WAN latencies that must be considered. I will add that in the future as a variant regarding the "location" of the big data. Bob

  3. This is great. Love the video.

    • Thanks Julie... Jim McHugh is so fun. And its easy to talk about our great solution with Cisco UCS, Data Virtualization, our Hadoop partners (Cloudera, Hortonworks, and MapR) as well as our other data partners Informatica and Appfluent.

  4. Great blog post! Do you have the entire slide deck somewhere?