Microsoft Hadoop

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                   Microsoft Hadoop

Microsoft offers a range of services and tools for working with Hadoop and big data in the Azure cloud ecosystem. Azure provides a platform for deploying, managing, and running Hadoop clusters and related big data technologies. Here are some of Microsoft’s offerings related to Hadoop and big data:

  1. HDInsight:

    • HDInsight is a fully managed cloud service that makes it easy to deploy, scale, and manage Hadoop, Spark, Hive, HBase, and other big data frameworks on . It offers a range of big data solutions with enterprise-grade security and integration with other services.
  2. Data Lake Storage:

    •  Data Lake Storage is a scalable and secure data lake solution that can store both structured and unstructured data. It’s designed to work seamlessly with HDInsight and other  services for big data analytics.
  3. Databricks:

    •  Databricks is a cloud-based analytics platform built on Apache Spark. It provides collaborative data science and machine learning capabilities with a collaborative workspace and integration with services.
  4. A Synapse Analytics (formerly SQL Data Warehouse):

    •  Synapse Analytics is an analytics service that allows you to analyze large volumes of data using on-demand or provisioned resources. It integrates with HDInsight for big data processing and provides a unified analytics platform.
  5.  Machine Learning:

    •  Machine Learning is a cloud-based service for building, training, and deploying machine learning models. It integrates with big data technologies like Hadoop and Spark for data preprocessing and model training.
  6.  Stream Analytics:

    •  Stream Analytics is a real-time data streaming and analytics service that can process and analyze data from various sources, including IoT devices. It can be integrated with big data services for real-time analytics.
  7. Power BI:

    • Power BI is a business intelligence tool that can connect to various data sources, including Hadoop clusters, to create interactive and visual reports and dashboards.
  8.  Logic Apps and Azure Functions:

    •  Logic Apps and Functions can be used to create workflows and trigger actions based on events or data from Hadoop and other big data sources.
  9.  DevOps:

    •  DevOps provides tools and services for continuous integration and continuous deployment (CI/CD) pipelines, making it easier to deploy and manage Hadoop and big data solutions.
  10.  Marketplace:

    • The  Marketplace offers a wide range of pre-configured Hadoop-related solutions, applications, and virtual machine images that can be deployed.

Hadoop Training Demo Day 1 Video:

 
You can find more information about Hadoop Training in this Hadoop Docs Link

 

Conclusion:

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