Why data lakes are the essential centerpiece of modern data architectures and an indispensable prerequisite for AI.

As Snowflake continues to expand our commitment to compliance, we are pleased to announce that we have successfully completed both C5 and TISAX attestations in Germany.

In the competitive analytics and data visualization landscape, Grafana has carved out a niche with its open-source flexibility and powerful data visualization features. However, Grafana faces certain limitations in terms of advanced analytics functionalities and less seamless integration with your software product compared to analytics and data visualization tools sourced from broader business intelligence (BI) ecosystems, such as.

If you've performed any sort of data prep, you know how time-consuming it can be. But it's a vital step in finding the hidden nuggets your data offers. You have to “fix up” the data so it can become the insights you need without any outdated or biased information. So mastering, especially anything data-related, may sound like a pipeline dream — pun intended — but it can be done. Could Tableau Prep be the data preparation solution you need?

Terence Bennett - April 9, 2024 Today’s businesses rely on data to operate. Everything from collecting customer data to recording data points from business processes contributes to reaching goals. Big data doesn’t mean much, though, when you keep it separated in silos. When you unify data, you create more data analytics opportunities that lead to valuable insights.

The rise of fully managed cloud services fundamentally changed the technology landscape and introduced benefits like increased flexibility, accelerated deployment, and reduced downtime. Confluent offers a portfolio of 80+ fully managed connectors that enables quick, easy, and reliable integration of Confluent Cloud with popular data sources and sinks, connecting your entire system in real time.

This marks an incredible three-peat win, solidifying our ongoing commitment to innovation and collaboration within the Google Cloud ecosystem.

Today’s business environment depends on collecting and analyzing a broad range of data. Data integration, therefore, has become critical when consolidating diverse data types. Without data integration, you’re left with siloed information that’s very difficult—if not impossible—to analyze. Comma-separated values play a fundamental role in data integration, especially when you need to join tables that share column names or want to move datasets between analytical tools.