Data Science Solution on Azure: Data Solution Optimization

Azure    |    Intermediate
  • 11 videos | 1h 4m 1s
  • Includes Assessment
  • Earns a Badge
Rating 5.0 of 2 users Rating 5.0 of 2 users (2)
Ensuring that data storage and processing systems are operating efficiently will allow your organization to save both time and money. There are several tips and tricks that can be used to optimize both Azure Data Storage service and processes. In this course, you'll learn about cloud optimization and best practices for optimizing data using data partitions, Azure Data Lake Storage tuning, Azure Synapse Analytics tuning, and Azure Databricks auto-optimizing. You'll examine strategies for partitioning data using Azure-based storage solutions. Next, you'll explore the stages of the Azure Blob lifecycle management and how to optimize Azure Data Lake Storage Gen2, Azure Stream Analytics, and Azure Synapse Analytics. Finally, you'll learn about optimizing Azure Data Storage services such Azure Cosmos DB using indexing and partitioning, as well as Azure Blob Storage and Azure Databricks. This course is one in a collection that prepares learners for the Designing and Implementing a Data Science Solution on Azure (DP-100) exam.

WHAT YOU WILL LEARN

  • Discover the key concepts covered in this course
    Describe cloud optimization, as well as best practices for optimizing data using data partitions, azure data lake storage tuning, azure synapse analytics tuning, and azure databricks auto-optimizing
    Describe various strategies for partitioning data using azure-based storage solutions
    Describe the stages of the azure blob lifecycle management
    Describe how to optimize azure data lake storage gen2 for performance
    Describe methods for optimizing azure stream analytics
  • Describe methods for optimizing azure synapse analytics
    Describe how to optimize azure cosmos db using indexing and partitioning
    Describe methods for optimizing azure blob storage
    Describe methods for optimizing azure databricks
    Summarize the key concepts covered in this course

IN THIS COURSE

  • 1m 42s
  • 6m 24s
  • Locked
    3.  Data Partitioning Strategies
    7m 4s
  • Locked
    4.  Azure Blob Lifecycle Management
    6m 37s
  • Locked
    5.  Azure Data Lake Storage Gen2 Optimization
    5m 27s
  • Locked
    6.  Azure Stream Analytics Optimization
    7m 27s
  • Locked
    7.  Azure Synapse Analytics Optimization
    8m 22s
  • Locked
    8.  Azure Cosmos DB Optimization
    6m 19s
  • Locked
    9.  Azure Blob Storage Optimization
    7m 53s
  • Locked
    10.  Azure Databricks Optimization
    6m
  • Locked
    11.  Course Summary
    45s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion on some of our courses, which can be shared on any social network or business platform.

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Course Microsoft Azure Fundamentals: Azure Storage
Rating 4.6 of 295 users Rating 4.6 of 295 users (295)
Course Data Engineering on Microsoft Azure: Data Factory
Rating 4.6 of 161 users Rating 4.6 of 161 users (161)
Course Developing Solutions for Microsoft Azure: Virtual Machines
Rating 4.7 of 78 users Rating 4.7 of 78 users (78)

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

Course Data Engineering on Microsoft Azure: Data Partitioning
Rating 4.7 of 49 users Rating 4.7 of 49 users (49)
Course Azure Data Scientist Associate: Azure Data Factory
Rating 4.8 of 53 users Rating 4.8 of 53 users (53)
Course Python - Using Pandas to Work with Series & DataFrames
Rating 4.4 of 81 users Rating 4.4 of 81 users (81)