Three leading data practitioners share advice on building a modern analytics practice — including how to avoid costly missteps.

SEO forecasting is easy if you understand what your peers are doing to make their predictions. Check out how 40+ pros forecast their SEO potential.

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.

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.

At Parameta Solutions, clients have come to expect our data, and our data products, to be robust and reliable. The way we really stand out in this specialist arena is through the quality and sophistication of our client services. I was delighted recently to share my experiences of how ThoughtSpot is supporting us in both of these aims during a webinar hosted by Cindi Howson during the Chief Data & Analytics Officers UK, 2021 event last February.

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.