Data security is an ongoing concern for anyone managing a data warehouse. Organizations need to control access to data, down to the granular level, for secure access to data both internally and externally. With the complexity of data platforms increasing day by day, it's become even more critical to identify and monitor access to sensitive data.

Wherever your business operates, you may have to follow the GDPR or face massive fines. It’s an epic legal document but much of it boils down to some key principles. The best approach is to store and manage your data in a way that makes GDPR-compliance straightforward. Here’s what you need to know.

Have you ever wondered about the story behind the word ‘Zephyr’? Or how does one actually test a test management tool? Recently, we held “Inside Zephyr,” a special online community event to celebrate the Zephyr family of products. It was a sneak-peak behind the curtain, and the team of extraordinary people that make Zephyr tools so great – from original founders to developers, testers, and support agents.

It is a common protocol for companies to disable two-factor authentication in their QA and Test Automation processes, the reason being the effort and cost required to carry it out. At Testsigma we recognize the importance of application security in a modern world, where releases are accelerating and the frequency of data breaches is increasing.

The data lakehouse is a promising new technology that combines aspects of data warehouses and data lakes.

In this episode of Metrics and Chill, Sean Henri, Founder and CEO at Pepperland marketing, shares the latest Google Page Experience update details, including how his agency prepared themselves and their clients and the changes they implemented.

Globally, the overall consumption of online video is trending up while television watch time is trending down. In a study of 4,500 consumers from 9 major countries, online video viewing grew 85% between 2016 and 2020. Meanwhile, television view time fell 10%. Previously, the onus of live stream testing and success was on networks and cable providers. But with OTT (over-the-top) streaming on the rise, media organizations face increased demand to deliver high video quality experience.

Picking the right business intelligence (BI) tool is essential to helping you beat your competitors, better serve your customers, and make smarter data-driven decisions. However, there's no one-size-fits-all tool for every enterprise. Not all BI users are created equal, and not all users should have the same level of access to sensitive and confidential data.

Written in Python, Apache Airflow is an open-source workflow manager used to develop, schedule, and monitor workflows. Created by Airbnb, Apache Airflow is now being widely adopted by many large companies, including Google and Slack. Being a workflow management framework, Apache Airflow differs from other frameworks in that it does not require exact parent-child relationships. Instead, you only need to define parents between data flows, automatically organizing them into a DAG (directed acyclic graph).

In the second of this two-part episode of Data+AI Battlescars, Sandeep Uttamchandani, Unravel Data’s CDO, speaks with Kapil Surlaker, VP of Engineering and Head of Data at LinkedIn. In part one, they covered LinkedIn’s challenges related to metadata management and data access APIs. This second part dives deep into data quality.