Global Certificate in AWS & Azure: Data Lakes and Analytics

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The Global Certificate in AWS & Azure: Data Lakes and Analytics is a comprehensive course designed to equip learners with essential skills for managing and analyzing big data using Amazon Web Services (AWS) and Microsoft Azure. This certification course emphasizes the importance of data lakes, a centralized repository for storing and analyzing large volumes of structured and unstructured data, and analytics, the process of examining data to draw meaningful insights.

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About this course

With the exponential growth of data and the increasing demand for data-driven decision-making, there is a high industry demand for professionals who can manage and analyze big data effectively. This course provides hands-on experience with AWS and Azure data lake services, enabling learners to acquire the skills necessary to design, implement, and manage data lake solutions in real-world scenarios. Upon completion, learners will be equipped with essential skills for career advancement, including the ability to design and implement data lake solutions using AWS and Azure, perform big data analytics using SQL and Hive, and optimize data lake performance and security. This certification course is an excellent opportunity for professionals looking to enhance their skillset and stay competitive in today's data-driven economy.

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Course Details

Here are the essential units for Global Certificate in AWS & Azure: Data Lakes and Analytics:

Fundamentals of Data Lakes: Understanding the concept, components, and benefits of data lakes in modern data analytics. Includes topics such as data ingestion, storage, processing, and security.

AWS Data Lake Services: Explores AWS-specific data lake services such as Amazon S3, Amazon Kinesis, AWS Glue, and Amazon Redshift. Covers how to design, build, and manage data lakes in the AWS ecosystem.

Azure Data Lake Services: Covers Azure-specific data lake services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Includes hands-on experience with building and managing data lakes in Azure.

Big Data Processing with Hadoop and Spark: Covers big data processing frameworks such as Hadoop and Spark. Includes hands-on experience with setting up and using these frameworks for data processing and analytics.

Data Analytics with SQL and NoSQL: Explores the use of SQL and NoSQL databases for data analytics. Covers topics such as data warehousing, data modeling, and query optimization.

Machine Learning with AWS and Azure: Covers machine learning techniques and algorithms for data analytics. Includes hands-on experience with using AWS and Azure-specific machine learning services such as Amazon SageMaker and Azure Machine Learning.

Data Visualization and Reporting: Covers best practices for data visualization and reporting. Includes hands-on experience with using tools such as Power BI, Tableau, and AWS QuickSight for creating interactive reports and dashboards.

Security and Compliance for Data Lakes: Covers

Career Path

Entry Requirements

  • Basic understanding of the subject matter
  • Proficiency in English language
  • Computer and internet access
  • Basic computer skills
  • Dedication to complete the course

No prior formal qualifications required. Course designed for accessibility.

Course Status

This course provides practical knowledge and skills for professional development. It is:

  • Not accredited by a recognized body
  • Not regulated by an authorized institution
  • Complementary to formal qualifications

You'll receive a certificate of completion upon successfully finishing the course.

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GLOBAL CERTIFICATE IN AWS & AZURE: DATA LAKES AND ANALYTICS
is awarded to
Learner Name
who has completed a programme at
London School of International Business (LSIB)
Awarded on
05 May 2025
Blockchain Id: s-1-a-2-m-3-p-4-l-5-e
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