Brief Introduction
HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Lake Analytics | Data BricksDescription
In this course you will be learning various cloud Analytics options available on Microsoft Azure cloud platform. When you are building your career around Cloud computing, with a developer profile, you may be expected to handle big data in this ever-growing world of data. When big data and analytics is your prime domain, you can empower yourself with Data analytics services and tools provided on the cloud platforms, specifically Microsoft Azure. You will be learning following Data Analytics services with few hands-on practical examples.
We would be creating resources for Stream Analytics, Spark, HDInsight exploring options. Below is a list of Big data analytics services on Azure:
HDInsight
It is a cloud distribution of Hadoop components. Azure HDInsight makes it easy, fast, and cost-effective to process massive amounts of data. You can use the most popular open-source frameworks such as Hadoop, Spark, Hive, LLAP, Kafka, Storm, R, and more.
Stream Analytics
It is a real-time analytics service that is designed for mission-critical workloads. You can build an end-to-end serverless streaming pipeline with this service on Azure.
Lake Analytics
It is an on-demand analytics job service that simplifies big data. Easily develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, etc.
Data Bricks
It provides data science and data engineering teams with a fast, easy and collaborative Spark-based platform on Azure. You can use data bricks for Big Data processing and Machine Learning.
Requirements
- Requirements
- A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
Pranjal Srivastava
2.9 Raiting
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