diyotta data lineage

23 March 2017

Creating Transparent Data Lakes

Posted By Jonathan Wu
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Data lakes provide a cost effective central repository of raw digital data in its native format (structured, semi-structured or unstructured) for data discovery, analysis and provisioning capabilities to other applications. The ability to utilize information from multiple sources, both internal and external, for providing rich analysis and insights is extremely valuable. Unfortunately, the approach of […]

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financial services

26 September 2016

How to solve 3 common data challenges in Financial Services

Posted By Jonathan Wu
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It’s been an honor to co-author this article for TDWI with Stan Pachura, who’s an industry expert in Financial Services and has been a CIO at multiple Financial companies. Financial services companies have historically been among the first ones to think about data architecture and data-driven customer enablement. These businesses include the traditional banks, insurance […]

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data lake implementation

12 June 2016

Accelerating Data Lake Implementations

Posted By Jonathan Wu
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Organizations are addressing their big data and modernization needs with data lakes, which have become an important component for an enterprise information management strategy and architecture. As a repository for raw digital data in its native format that is either structured, semi-structured or unstructured, data lakes are often utilized for offloading historical data from operational systems as well as collecting data feeds from external sources and cloud-based applications.

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agile architectures

20 May 2016

5th Principle of Modern Data Integration

Posted By Jonathan Wu
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This post is the fifth and last post is this group that are dedicated towards explaining the principles of modern data integration, which is an optimal approach towards addressing modern and big data needs. The first principle of modern data integration is to “take the processing to where the data lives.”  The objective of the […]

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moving data

09 May 2016

4th Principle of Modern Data Integration

Posted By Jonathan Wu
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This post is the fourth of five that are dedicated towards explaining the principles of modern data integration, which is an optimal approach towards addressing modern and big data needs. The first principle of modern data integration is to “take the processing to where the data lives.”  The objective of the 1st principle is to […]

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connect point-to-point

04 May 2016

3rd Principle of Modern Data Integration

Posted By Jonathan Wu
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This post is the third of five that are dedicated towards explaining the principles of modern data integration, which is an optimal approach towards addressing modern and big data needs. The first principle of modern data integration is to “take the processing to where the data lives.”  The objective of the 1st principle is to […]

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data integration platforms

27 April 2016

2nd Principle of Modern Data Integration

Posted By Jonathan Wu
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This post is the second of five that are dedicated towards explaining the principles of modern data integration, which is an optimal approach towards addressing modern and big data needs. The first principle of modern data integration is to “take the processing to where the data lives.”  The objective of the 1st principle of modern […]

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data processing

19 April 2016

1st Principle of Modern Data Integration

Posted By Jonathan Wu
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This post is the first of five that are dedicated towards explaining the principles of modern data integration, which is an optimal approach towards addressing modern and Big Data needs. Traditional Approaches Now Obsolete The principles of modern data integration were created out of the challenges of working with traditional data integration technologies,which are architected and […]

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modern data integration sources

12 April 2016

Modern Data Integration Capabilities

Posted By Jonathan Wu
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Data complexity has dramatically increased over the last several years due the increased number of data sources, new data types, greater locations where the data resides, and increased volumes of data being generated.  Welcome to the era of modern data…not just big data.  Organizations have to wrangle modern data in order to have greater visibility […]

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rising data volume

14 March 2016

Beyond Data Modernization

Posted By nkaul
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The world’s data now doubles in volume every two years! We’re all living in a data-governed age where business doesn’t just run on data, business is data. Fueled mainly by factors like the rapid growth of worldwide web, e-commerce, the mobile revolution, the rapid growth of social networks, cloud computing and Internet of Things (IoT) among others. In this […]

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