Analytics

Why the Data Warehouse is Not Dead and Stronger Than Ever

This is a guest post for Integrate.io written by Bill Inmon, an American computer scientist recognized as the "father of the data warehouse." Inmon wrote the first book and first magazine column about data warehousing, held the first conference about this topic, and was the first person to teach data warehousing classes. Five things you need to know about this topic: The data warehouse is the whack-a-mole of technology.

27 Blogging Statistics That Will Shape Your Content Strategy in 2023

Even though some have (falsely) predicted that the rise of social media would mean the end for blogs — blogging is still very alive and kicking: according to Ahrefs, about 22,000 people in the US search Google for “How to start a blog” each month. Still, blogging has changed quite a bit in the last decade and it requires more forethought and planning than it did in the days you could simply throw up a basic website, write whatever you wanted, and still get a decent amount of traffic.

Eneria trailblazes real-time data synchronization with Talend Change Data Capture (CDC)

Eneria, a subsidiary of the Monnoyeur Group, is a leader in energy production and motorization solutions. As the exclusive Caterpillar dealer in France, they have developed notable and unique expertise in the field of generator sets, Caterpillar generators, inverters, and engines. As a well-established industry leader with over 870 employees across dozens of departments, Eneria knows the pivotal importance of interdepartmental communication — not just between employees, but between data.

Is Data Mesh the Right Framework for Your Data Ecosystem?

With the ever-increasing volume of data being generated from a highly diverse set of data sources, organizations have started to increasingly direct their focus on solutions that can help them with data management more efficiently and effectively. Indeed, in the current decade, having a robust data infrastructure is key to an organization’s success, and timely data-driven decision-making is what every management is striving for today.

Integrating Your Data Warehouse and Data Mesh Strategies

Data warehousing requires data centralization, whereas data mesh enables a decentralized approach to data access. Organizations might think that the solution to their data management strategy requires a choice between the two, but the reality is that both approaches can and should co-exist.