Microsoft runs one of the largest big data cluster in the world – internally called “Cosmos”. This runs millions of jobs across hundreds of thousands of servers over multiple Exabytes of data. Being able to run and manage jobs of this scale by developers was a huge challenge.
I often follow several publications related to trends and emerging innovations in retail and consumer goods. Artificial Intelligence (AI) continues to be touted as a key ingredient in transforming this industry.
Thanks to the explosion of IoT we now have millions of devices, machines, products, and assets connected and streaming terabytes of data. But connecting to devices, ingesting and storing their sensor data is just the first step.
The Integration Runtime (IR) is the compute infrastructure used by Azure Data Factory to provide data integration capabilities across different network environments. If you need to perform data…
Fast Interactive BI, data security and end user adoption are three critical challenges for successful big data analytics implementations. Without right architecture and tools, many big data and analytics projects fail to catch on with common BI users and enterprise security architects.
The HDInsight team is excited to announce Apache Zeppelin Support for Apache Phoenix
GitHub is a development platform that allows you to host and review code, manage projects and build software alongside millions of other developers from open source to business. Azure Data Factory (…
At Microsoft, like many companies using data for competitive advantage, opportunities for insight abound and our analytics needs were scaling fast – almost out of control. We invested in Yet Another…
Customers use HDInsight Interactive Query (also called Hive LLAP, or Low Latency Analytical Processing) to query data stored in Azure storage & Azure Data Lake Storage in super-fast manner.
Today, the healthcare industry is confronting many complex and daunting challenges. Cloud computing can help healthcare organizations focus on patient care and reducing costs, and it enables IT to be more flexible, agile, scalable, and secure as the healthcare industry changes and grows.