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Analytics

What is Data Security? - The Role of Analytics in Data Protection

Data security (or data protection) is a term often used in the context of analytics and business intelligence (BI). It encompasses a number of different policies, processes and technologies that protect an company's cyber assets against data breaches and threats. But what does all of that really mean, in relation to BI specifically?

Are These the 6 Best Reverse ETL Vendors?

The amount of big data that enterprises churn out is simply staggering. All this information is worthless unless organizations unlock its true value for analytics. This is where ETL proves useful. Traditional ETL (extract, transform, and load) remains the most popular method for moving data from point A to point Z. It takes disparate data sets from multiple sources, transforming that data to the correct format and loading it into a final destination like a data warehouse.

Bridging The Gap Between Legacy Security And Modern Threat Detection

In this episode of “Powered by Snowflake” host Daniel Myers sits down with Anvilogic’s Security Strategist and Head of Product Marketing, Jade Catalano. Founded by a team of security industry vets, Anvilogic has helped ease legacy security systems into the future, enabling organizations to quickly detect, hunt, and respond to threats. This conversation covers the challenges of modernizing legacy security systems, how to manage an excess of data, a product demo, and more.

Episode 3 & 4 | Data Destination & Data Governance | Data Journey

What are data destinations? In a very abstract sense, data destination is another input along the series of process elements in a data pipeline. However, when calling out an element as the destination, it is really seen as the final destination such as a database, data lake or data warehouse. And yet, any element within the data pipeline has aspects of a final destination (and scaling challenges).