Tag "cloud data lake"
Every organization today is investing in cloud and cloud analytics. You may be building a cloud data warehouse or data lake on AWS, Azure, GCP, Snowflake, or Databricks. Whether you are doing it for the first time or have done it many times on on-premises and are now looking to consolidate and modernize in the... more
We’ve all heard the cautionary tale across healthcare (and beyond) that poorly deployed cloud data lakes run the risk of becoming data swamps, where untrusted volumes of data deliver limited-to-no value or insights to the organization. This is not a myth. While most healthcare organizations, providers, and payers have embraced the need to deliver real-time,... more
Data is driving the strategic decisions within organizations. Because data is such an important asset, it is essential to capture data from a variety of sources across the enterprise, including partner ecosystem and third-party data. Many organizations have started initiatives to bring data from the various sources and move it onto data lakes or messaging... more
Ever since Microsoft introduced Azure Data Lake Storage Gen2 (ADLS Gen2), enterprises around the globe have been adopting it to drive their data lake and modern analytics initiatives. As ADLS Gen2 adoption has gained momentum, there has been a very active and healthy discussion about interoperability between Azure Blob and ADLS Gen2. If you check... more
We now have data lakes with petabytes of data, being updated in real time with IoT, social and mobile information. Then there are tens of thousands of users accessing the data across various lines of your business: finance, sales, marketing, service, procurement, research & development, manufacturing, logistics and distribution. At this scale the only way... more