Data Professionals looking to enter the field of Data Science & Data Engineering commonly referred to as Big Data can take go through this Learning Path. Read More
Prerequisites
It is expected that learners have some prior experience with Azure Platform, significant experience on SQL Server including designing, implementation and administration Read More
Audience Profile
The Azure Data Learning Path is intended for developers who have knowledge of cloud technologies and possess advanced SQL and relational database administration / management skills. Read More
Here's What You Will Learn:
Plan, deploy, secure and implement Azure SQL Database.
Using metrics, alerts, auditing, and dynamic management views to monitor Azure SQL Database
Use Azure SQL Data Warehouse for Big Data solutions
Deploy HDInsight Clusters and troubleshooting HDInsight
Implement and design Batch ETL Solutions for Big Data with Spark
Analyze Data with Spark SQL, Hive and Phoenix
Describe and Implement Spark Streaming Using the DStream API
Develop Big Data Real-Time Processing Solutions with Apache Storm
Build Solutions that use Kafka and HBase
Describe common architectures for processing big data using Azure tools and services
Using Azure Stream Analytics to design and implement stream processing over large-scale data
Custom functions and incorporate machine learning activities into an Azure Stream Analytics job
Using Azure Data Lake Analytics to examine and process data held in Azure Data Lake Store
Create and deploy custom functions and operations, integrate with Python and R, and protect and optimize jobs
Azure SQL Data Warehouse to create a repository that can support large-scale analytical processing over data at rest
Azure SQL Data Warehouse to perform analytical processing, how to maintain performance, and how to protect the data
Using Azure Data Factory to import, transform, and transfer data between repositories and services
Audience Profile
The Azure Data Learning Path is intended for developers who have knowledge of cloud technologies and possess advanced SQL and relational database administration / management skills. Data Professionals wanting to gain an expert level knowledge and exposure to the Data Science capabilities of the Azure Platform will benefit from this Learning Path.
Database Administrators who want to deploy, secure and manager Azure SQL Databases
Sr. Database Developers looking to design secure and scalable Data Solutions on Azure
Database Developers who want to build, deploy and process Big Data solutions using Azure’s Data solutions
Database Developers with statistical programming skills who want to build solutions to support large scale data processing, analytics and data warehouses
Prerequisites Recommended Prerequisites:
MCSA SQL 2012, 2014 OR 2016 Certification Paths
Atleast ONE From: MS-20464 OR MS-20465
Azure Fundamentals Learning Path
It is expected that learners have some prior experience with Azure Platform, significant experience on SQL Server including designing, implementation and administration to cover the following:
Good working knowledge of SQL Server
Good knowledge of relational databases
Programming experience using R
Knowledge of statistical methods and data analysis best practices
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