These qualities of SQL and other factors pushed data analysts to write code that’s difficult to share or repurpose. Thinking back on those agile principles, data analytics wasn’t doing so great.

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes.

Fast forward to today. Microsoft now offers many new and powerful analytics products based solely in the cloud, like Azure SQL, Azure Machine Learning (ML), Azure Data Lake Storage (ADLS), and Azure ...

It uses the Apache Spark in-memory data-analytics engine so that it can perform live SQL analytics on both static data sets and streams. Queries against SnappyData can be written as conventional ...

promises to bring low-latency analytics to edge devices as it allows users to work with streaming data and time-series data, combined with the built-in machine learning capabilities of Azure SQL ...

New platform launches to connect businesses with top Big Data & Analytics firms, reshaping tech procurement. NOIDA, UTTAR ...

Each data analytics course takes a significant hands-on approach to help students gain proficiency with tools most sought after by employers, including R, SQL, Python, and Tableau. Our faculty have ...

“We added low-code SQL to our already robust support for Spark because, over and over, we’ve seen how data analytics and machine learning are bottlenecked when teams can’t feed ...