Microsoft Launches Big Data Processing Service In Azure For Linux

Microsoft has released a Linux version of its Hadoop distribution, HDInsight, used to process streams of unstructured data through its cloud computing service, Azure. Here are the details.

The Azure HDInsight service lets you easily run managed Hadoop clusters in the cloud to analyse and report on large data sets. It is a Hadoop distribution that can handle any amount of data. You used to only be able to configure those clusters using Windows Server OS but Microsoft has now added support for an Ubuntu based Linux OS.

HDInsight on Linux allows for broader support for Hadoop ecosystem partners which means more tools and applications for running Hadoop workloads on. There is now also additional capabilities such as cluster scaling, virtual network integration, and script action support.

As well as Hadoop clusters, you can create HBase and Storm clusters on Linux for NoSQL and real-time processing requirements that is useful for building an internet of things (IoT) application.

All HDInsight Linux clusters can be managed by Apache Ambari, which allows for customised configuration settings of Hadoop clusters and actively monitors them. You can find out more about Azure’s HDInsight service here.

[Via ScottGu’s Blog]


Comments

    Microsoft Azure uses the obsolete SQL databases.

    For instance, there are two sentences:
    a) ‘Pickwick!’
    b) 'That, with the view just mentioned, this Association has taken into its serious consideration a proposal, emanating from the aforesaid, Samuel Pickwick, Esq., G.C.M.P.C., and three other Pickwickians hereinafter named, for forming a new branch of United Pickwickians, under the title of The Corresponding Society of the Pickwick Club.'
    Evidently, that the ' Pickwick' has different importance into both sentences, in regard to extra information in both. This distinction is reflected as the phrases, which contain 'Pickwick', weights: the first has 1, the second – 0.11; the greater weight signifies stronger emotional ‘acuteness’; where the weight refers to the frequency that a phrase occurs in relation to other phrases.
    SQL does not see and cannot produce the above statistics - it's obsolete.

    SQL, Structured Query Language works with queries only, searching for information into data. However, the queries have nothing to do with data itself, they stay aside, absolutely separately form the data.
    Microsoft Azure cannot search within Big Data. What service Microsoft Azure can provide for Big Data?

    I, however, discovered and patented how to structure any data without SQL, the queries: Language has its own parsing, indexing and statistics and can be structured. (For more details please browse on my name ‘Ilya Geller’.)

    I can worl with any data, Big Data as well.

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