Big Data Analysis on AWS and Microsoft Azure

🌟 Course Title: Big Data Analysis on AWS and Microsoft Azure

Headline: Master Various Tools for Big Data Analytics on Cloud with Expert-Led Training

Introduction: Welcome to the era of data-driven decision making where cloud platforms play a pivotal role in harnessing the power of big data analytics. In this comprehensive online course, "Big Data Analysis on AWS and Microsoft Azure," you'll dive into the world of cloud services that are instrumental in simple Data Analytics as well as Big Data Analytics. Learn to choose and combine cloud resources and methods to build effective solutions tailored for various use cases.

Course Structure:

• Understanding Cloud-Based Data Analytics:

  • Explore the significance of leveraging cloud platforms like AWS and Microsoft Azure in data analytics.
  • Comprehend how these platforms have become indispensable for storing, managing, and analyzing massive datasets.

• AWS Services Deep Dive:

  • Amazon Glue:
    • Craft crawlers to navigate through diverse data sources and extract valuable data.
    • Store the extracted data in Amazon Athena as datasets.
  • Amazon Athena:
    • Execute SQL queries and operations to derive insights from your datasets.
    • Transform datasets using SQL for more refined analysis.
  • Amazon S3:
    • Learn to create an S3 bucket, manage datasets, and understand its integration with AWS services.
  • AWS Glue Advanced Features:
    • Configure output database names for crawlers, customize schemas, and explore table details in Glue.
    • Dive into log groups within the cloud environment.
  • Practical SQL with Athena:
    • Run SQL queries on Athena and master the creation and saving of custom queries.
    • Save query outputs in an S3 bucket for further analysis or reporting.

• Microsoft Azure Data Analysis Services:

  • Azure HDInsight:
    • Get hands-on experience with Azure's service for big data analytics.
  • Azure Stream Analytics:
    • Understand the importance of real-time data processing in today's digital landscape.

Key Takeaways:

• A deep understanding of AWS and Microsoft Azure services for data analytics.
• Hands-on experience with Amazon Glue, Amazon Athena, Amazon S3, Azure HDInsight, and Azure Stream Analytics.
• Practical skills in transforming and analyzing datasets using SQL queries.
• Knowledge on how to integrate various cloud resources to build robust data solutions for diverse use cases.

Why Enroll in This Course?

• For Data Analysts:

  • If you're looking to expand your skillset with cloud-based data analytics, this course is your gateway.

• For Data Scientists:

  • Enhance your expertise by understanding the intricacies of AWS and Azure for handling big data.

• For Cloud Enthusiasts:

  • Get a deeper insight into the tools and technologies that power cloud-based analytics and how to apply them in real-world scenarios.

By the end of this course, you'll be well-equipped with the knowledge and skills required to leverage AWS and Microsoft Azure for big data analysis. Whether you're a beginner or an experienced professional, this course will guide you through the practical aspects of building scalable and efficient data analytics solutions in the cloud. Join us on this journey to become a proficient data analyst or data scientist with a strong foundation in cloud computing and big data tools!

🎓 Ready to elevate your career in Data Analytics and Big Data? Enroll now and unlock the full potential of cloud-based analytics with our expert-led course on AWS and Microsoft Azure! 🚀