Data Lake


The greatest challenge to data lake initiatives is getting data into and out of Hadoop, Massively Parallel Processing and NoSQL platforms. Diyotta’s Modern Data Integration Suite accelerates data lake implementations by moving data in and provisioning data out fast and efficiently. Set up and start using your data lake in a matter of days, not months.

Ingestion to Data Lake
design once data lakes

MDI Suite Benefits for Data Lakes

  • Accessibility – Easily acquire data from disparate sources and environments
  • Scalability – Expontentially scalable to efficiently handle Big Data
  • Adaptability – Efficiently adapt to new processing engines
  • Diversity – Manage a variety of data types without constraints

“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.”

Jonathan Wu, CEO of Diyotta

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Diyotta’s Modern Data Integration Suite makes Big Data easier to manage. Large organizations such as Sprint, Bank of Nova Scotia and Philip Morris International are utilizing Diyotta’s technology to transform Big Data into powerful business solutions. They are also experiencing faster response times, lower costs and data lineage for complete transparency. Contact us to learn how your organization can benefit from Diyotta’s technology.