Diyotta’s methodical approach to migrating data and converting data integration processes from a Massively Parallel Processing (MPP) to Hadoop platform incorporates best practices to ensure an efficient process and accurate results. Download the solution brief to learn more.

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Healthcare analytics provider, Health Lumen, needed a modern solution to scale their existing Teradata environment and remove the ETL bottlenecks to support their rapidly growing customer base. "One of our core jobs now runs over 50x faster. What used to take 18 hours to process, now completes within 20 minutes with the MDI suite by better lever...

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One of the more popular subjects in data modernization today is the addition of data lakes to many different ecosystems. This report defines data lake types and discusses emerging best practices, enabling technologies, and real-world use cases, and is sponsored by Diyotta, HPE, IBM, SAS and Talend.

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Data integration in the big data world can be very complex. When using Cloudera as a mainstream platform there is still the need to work with existing systems such as MPP data warehouse platforms and traditional data repositories. Moving data from these sources to Cloudera needs to be efficient, and leveraging the processing capabilities of Had...

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The digital and social revolution demands enterprises collect, transform, store and analyze massive volumes of data. There are multiple factors adding to the overall data explosion including new business processes, new data sources, increased regulations and increased activity, all of which lead to significant generation of multiple terabytes of...

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Data integration processes can be complex in big data architectures and deployments. When using Hadoop as a mainstream platform there is still a requirement to work with co-existing data platforms such as Massively Parallel Processing systems or traditional data repositories. Moving data from source systems to target needs to be efficient and le...

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Scotiabank, a global financial institution, uses the Modern Data Integration Suite to leverage IBM BigSQL on Hadoop to transform data, and turns IBM BigInsights into a powerful data exploration zone by providing end-to-end data integration solution. Organizations like Scotiabank have saved time and money and gained greater visibility into the da...

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Data complexity is accelerating due the increased number of data sources, new data types, and increased volumes of data being generated. Welcome to the era of modern data…not just big data. Organizations are wrangling modern data in order to achieve greater visibility into their operations, customers, markets, competi...

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As the volume of data that organizations need to manage grows from terabytes to petabytes and beyond, it is becoming increasingly difficult for companies to extract value from that data quickly enough. Traditional ETL platforms simply cannot operate at the scale required, especially when new data is arriving at high velocity, around the clock....

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