Penguin Random House’s Pete Williams on riding the data maturity curve, people and data literacy and readiness to enable and exploit.

To become a data-driven business and perform effective data management, organizations must construct high-performance data pipelines that can effectively collect, process, and analyze their enterprise information. When handling data processing and integration, companies have several choices for how to construct their data flows. Instead of writing custom data workflows from scratch, most businesses decide to use an ELT data platform that seamlessly connects the various datasets in their IT ecosystem.

By now, you should have read the headlines that Qlik's acquisition of Talend is complete, and we're excited to expand our best-in-class capabilities to help you access, transform, trust, analyze, and take action with your data. You might have seen Mike Capone's QlikWorld keynote or the recent "What's Next is Now" webinar and wondered how to leverage these new capabilities in your organization.

As the amount of data generated by businesses continues to grow exponentially, efficient and scalable ETL (extract, transform, load) processes have become crucial for managing and analyzing this data. Google BigQuery is a fully-managed, serverless data warehouse designed for super-fast SQL queries and data analysis. However, managing ETL processes in BigQuery can be complex and time-consuming. An ETL tool can help.

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution.

If you haven’t been tuned in, AI products are the new “it girl” on the block, turning heads and transforming the way businesses operate. This seismic shift isn't merely a trend; it's the new norm. AI has massive implications for Keboola’s mission - helping companies create and ship better data projects faster. We’ve been helping build AI-powered products for years, but the recent innovations in the space have accelerated our efforts even further.

As the pace of data grows, modern companies struggle to get a unified view and extract insights across all their disparate sources. Heck, just accessing all the enterprise datasets can be hard and requires too many email chains with the IT department. Luckily, integrating data from different systems and external sources can be simplified with the right data integration technique.

Qlik and its NGO partners focus on leveraging data to bring a positive impact to the world. While we are still seeing the effects of the COVID pandemic throughout society, there are tremendous lessons that we can carry forward to be better prepared for the next likely pandemic.