Data Lake

Cloud Security for Data Lakes in AWS Environments

As companies collect, generate and process more data to drive value through their organizations, they find themselves facing an important decision: where to put it all. One option has been to create a data lake. Data lakes are particularly useful because they allow organizations to feed in large volumes of data in their original formats, […]

Why Data Catalogs Should be the Linchpin in Your Cloud Data Strategy

Data lakes have become a foundation for many organizations’ data environments. While these data lakes provide new capabilities, many enterprises are struggling to derive full value due to the operational overhead of managing multiple new interfaces, tools, data sets and integration points. These data lakes often become “data swamps” due to the large amount of […]

Enterprise Data Lake Architecture: What to Consider When Designing

The Business Case of a Well Designed Data Lake Architecture Let’s start with the standard definition of a data lake: A data lake is a storage repository that holds a vast amount of raw data in its native format, including structured, semi-structured, and unstructured data. The data structure and requirements are not defined until the […]

Building a Platform for Machine Learning and Analytics

Predictive analytics and supporting technologies like machine learning require access to diverse data sets and powerful, scalable compute resources. Modern capabilities, including predictive analytics and machine learning, enable organizations to leverage large amounts of data from social media, online journeys, the Internet of things (IoT) and other sources to enable data driven decisions across an […]