Big Data Analytics on Microsoft AZURE

About Big Data Analytics on Microsoft AZURE

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:

What is 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.

What is 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.

What is 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.

What is 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.