The Business Case for Ditching Your Data Lake
Cloud-based data warehouses offer unlimited scalability with the best features of both traditional data warehouses and data lakes.
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Modern Software Development For Today's Systems & Applications
Using Xplenty with Parquet for Superior Data Lake Performance
Building a data lake in Amazon S3 using AWS Spectrum to query the data from a Redshift cluster is a common practice. However, when it comes to boosting performance, there are some tricks that are worth learning. One of those is using data in Parquet format, which Redshift considers a best practice. Here's how to use Parquet format with Xplenty for the best data lake performance.
Amazon Athena: The Data Lake Revitalizer
The data lakes concept has come back into popular focus with Amazon Athena, an innovative, serverless solution. But does it fit into your organization’s data stack? This article covers Amazon Athena capabilities, pros and cons, competitors, and use cases.
Data Lake Export Public Preview Is Now Available on Snowflake
Public preview of the data lake export feature is now available. Snowflake announced a private preview of data lake export at the Snowflake virtual summit in June 2020. Data lake export is one of the key features of the data lake workload in the Snowflake Data Cloud. The feature makes Snowflake data accessible to the external data lake, and it enables customers to take advantage of Snowflake’s reliable and performant processing capabilities.
Snowflake for Security Data Lake
Empower your cybersecurity and compliance teams with Snowflake. Gain full visibility into security logs, at massive scale, while reducing costs of Security Information and Event Management systems (SIEMs).
Snowflake for Security Data Lake
Empower your cybersecurity and compliance teams with Snowflake. Gain full visibility into security logs, at massive scale, while reducing costs of Security Information and Event Management systems (SIEMs).
Snowflake Workloads Explained: Data Lake
Snowflake provides the most flexible solution to enable or enhance your data lake strategy, with a cloud-built architecture that meets your unique needs. Mix and match components of data lake design patterns and unleash the full potential of your data.
Before Making A Big Splash - 5 "Gotchas" To Avoid When Building a Data Lake
There is no debate. Making sense of your data is just good business. Studies from Forrester Research, McKinsey and more show that companies that leverage their data better tend to outperform their less-informed counterparts. Our own recent research, Data as the New Water: The Importance of Investing in Data and Analytics Pipelines, done in partnership with IDC, shows that companies that optimize their data pipelines see enhanced operational efficiency (88 percent vs.
The benefits of building an on-demand data lake in healthcare
This blog was written in partnership with Navdeep Alam, Senior Director, Global Data Warehouse, IQVIA Healthcare is unique. It isn’t defined like other businesses by how much revenue can be generated, but more in terms of achieving positive health outcomes, better value, and saving lives through the rapid development of new treatments and therapies.