Microsoft Chooses Ubuntu Linux for their Cloud-based Azure HDInsight Big Data Solution
Earlier this month, Microsoft surprised us all with the announcement that they built a Linux kernel-based operating system, Azure Cloud Switch (ACS), for developing software products for Network Devices.
Now, Microsoft just announced that they selected Ubuntu as the operating system for their Cloud-based Big Data services.
Earlier this month, Microsoft surprised us all with the announcement that they built a Linux kernel-based operating system, Azure Cloud Switch (ACS), for developing software products for Network Devices.
Now, Microsoft just announced that they selected Ubuntu as the operating system for their Cloud-based Big Data services.
YES Microsoft Required LINUX
To expand its Azure Data Lake project,
that makes Big Data processing and Analytics simpler and more
accessible, Microsoft has partnered with Hortonworks and Canonical to launch “Azure HDInsight” for Linux users.
Azure HDInsight is a Hadoop-based Big Data solution powered by Cloud
that is now also available for Ubuntu, along with Windows OS.
By offering both Windows and Linux clusters, Microsoft’s fulfills its
aim to enhance its own cross-platform aspirations that will accelerate a
move towards Hybrid Cloud Computing.
What is Azure HDInsight?
Microsoft’s Azure HDInsight application is architected to handle any amount of data, scaling from Terabytes to Petabytes. “You can spin up any number of nodes at any time.”
You can manage all Azure HDInsight Linux clusters using Apache Ambari,
which allows custom configuration settings of Hadoop clusters and
real-time monitoring.
With the new release, Azure HDInsight offers additional capabilities, such as:
- Cluster scaling
- Virtual network integration
- Script action support
Along with this Microsoft announced the general availability of two new Azure services:
- Azure Data Lake Analytics: A service built on Apache Yarn that dynamically scales the customer environment based on need.
- Azure Data Lake Store: Provides a single repository to capture easily data of any size, type or speed without forcing changes to their application as data scales.
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