As organizations modernize their information management infrastructure, the cost vs benefit of Massively Parallel Processing (MPP) platforms like Netezza are being reevaluated. Today, organizations require consolidated and expanded data access and insights – something traditional architectures do not provide. To meet these needs, traditional data...

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Scotiabank implemented Diyotta’s Modern Data Integration (MDI) Suite to orchestrate, schedule, control and monitor data movements from their disparate sources into Hive using a modern ELT dataflow. With the MDI Suite, Scotiabank was able to connect isolated data sources and securely move data while improving overall architecture performance. T...

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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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