Big data analytics continues to grow in importance, but working with massive datasets poses challenges. Moving petabytes of data repeatedly for analysis strains networks and budgets. Even then, irrelevant data can overwhelm analytics platforms, generating more expense without additional insight.
We met with AirMettle during the 53rd IT Press Tour. It offers a new approach, integrating analytics into the data lake itself. Their software runs on commodity hardware, delivering faster insights without the overhead of traditional data warehouses. Key features help developers simplify big data analytics: