Big Data Management and Analytics هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

Big Data: MCSE: Data Management and Analytics

Diploma Tracks :

Introduction to R Programming   
Overview 
Introduction 
Variable types and data structures 
Getting data into the R environment Built-in data
Data frame manipulation with dplyr Renaming columns
Handling dates in R 
Control flow 
Functions in depth Parameters
Applying functions across dimensions 
Exploratory data analysis (descriptive statistics) 
Inferential statistics 
Base graphics 
Advanced R graphics: ggplot2 
General linear regression  

Course 20773A: Analyzing Big Data with Microsoft R


Course Outline
Microsoft R Server and R Client
Exploring Big Data
Visualizing Big Data
Processing Big Data
Parallelizing Analysis Operations
Creating and Evaluating Regression Models
Creating and Evaluating Partitioning Models
Processing Big Data in SQL Server and Hadoop

Course 20775A:Performing Data Engineering on Microsoft HD Insight​​​​​​​

Deploy HDInsight Clusters.
Authorizing Users to Access Resources.
Loading Data into HDInsight.
Troubleshooting HDInsight.
Implement Batch Solutions.
Design Batch ETL Solutions for Big Data with Spark
Analyze Data with Spark SQL.
Analyze Data with Hive and Phoenix.
Describe Stream Analytics.
Implement Spark Streaming Using the DStream API.
Develop Big Data Real-Time Processing Solutions with Apache Storm.
Build Solutions that use Kafka and HBase.

Course 20776A:Performing Big Data Engineering on Microsoft Cloud Services​​​​​​​

Course Outline
Architectures for Big Data Engineering with Azure
Processing Event Streams using Azure Stream Analytics
Performing custom processing in Azure Stream Analytics
Managing Big Data in Azure Data Lake
Processing Big Data using Azure Data Lake
Implementing custom operations and monitoring performance in Azure Data Lake Analytics
Implementing Azure SQL Data Warehouse
Performing Analytics with Azure SQL Data Warehouse
Automating the Data Flow with Azure Data Factory
تحديث بتاريخ 13 November, 2019