Systems | Development | Analytics | API | Testing

Geographical data is one of the critical datasets for data-driven organizations to make informed business decisions. As the data is growing more than ever before, it’s becoming more challenging to manage and analyze mammoth datasets using traditional databases, this is true for geographical data as well as it requires significant computational power to process. Esri has been one of the leading companies in Geospatial software development since 1969.

Experts from Microsoft, WANdisco, and Unravel Data recently outlined a step-by-step playbook—utilizing a data-driven approach—for migrating and managing data applications in the cloud.

Snowflake is proud to announce the open source release of SansShell, a non-interactive local host management agent. Its purpose is to enable strong authentication, authorization, and auditing of the management of servers of any type. The source code is available on GitHub.

The Google BigQuery Write API offers high-performance batching and streaming in one unified API. The previous post in this series introduced the BigQuery Write API. In this post, we'll show how to stream JSON data to BigQuery by using the Java client library.

Marcel Naumann, Senior Engineer Investment at NN Investment Partners, sees a future where fluid, easily accessible data and insights help portfolio managers achieve returns while investing in a responsible manner. We spoke with Naumann to learn how he’s making this future a reality with the Snowflake Data Cloud. NN Investment Partners (NN IP) manages assets for investors across 37 nations.

Big data has been revolutionizing the digital marketing landscape: organizations are gathering data from numerous sources; data streams are being collected at unparalleled speeds; and businesses are dealing with a variety of data structures, from emails to user behaviors to financial transactions.

Asking the right questions of your data and knowing what you are looking to find is a critical component for gaining insights from your data that drive specific actions. Data is not black and white; there is so much you can do with it. Accordingly, two people with the same data can come up with very different insights. This is because so much depends on the specific problem to be solved and the approach you take to solve it.

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune.