Microsoft has built the most comprehensive platform for organisations to carry out analytics on big data on the Azure cloud. This rapidly increasing popularity of this architecture to execute advanced Analytics solutions for organisations has opened up very rewarding career opportunities in each area.
For each area, Microsoft Official curriculum courses are available leading to Global certifications.
Lodestone Learning provides in depth training in each area with added concepts programs, regular evaluation and feedback assessments, certification preparation, and capstone projects that enable you to be industry ready to start/build upon on your Big Data and Analytics career.
Microsoft’s products in the Big Data and Analytics area:
ANALYTICS AND BUSINESS INTELLIGENCE
Provisions cloud Hadoop, Spark, R Server, HBase, and Storm clusters
B) Machine Learning Studio
This architecture allows any data to be combined at any scale, and to build and deploy custom machine learning models at scale.Transforms data into actionable insights using the best-in-class machine learning tools.
C) Data Factory
Hybrid data integration at enterprise scale, made easy. Azure Data Factory is a hybrid data integration service that allows the creation, scheduling and orchestrating of ETL/ELT workflows
D) Stream Analytics
Real-time data stream processing from millions of IoT devices.
E) Azure Data Lake Storage
Massively scalable data lake storage
F) Data Lake Analytics
Distributed analytics service that makes big data easy
G) Business intelligence
Power BI is a suite of business analytics tools that delivers insights throughout the organization. Connects to hundreds of data sources, simplifies data prep, and drives ad hoc analysis. Produces beautiful reports, then publishes them for the organization to consume on the web and across mobile devices
A) Azure SQL Database
Managed relational SQL Database as a service which scales, computes, stores elastically and independently, with a massively parallel processing architecture.
B) Azure Cosmos DB
Globally distributed, multi-model database for any scale, provides insights from live streaming data with ease, captures data continuously from any IoT device, or logs from website click streams, and process it in near-real time.
C) SQL Data Warehouse
Elastic data warehouse as a service with enterprise-class features.
D) Power BI
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