A beginners guide to Data Warehouse and Big Data

Learn about Data warehouse and big data
3.66 (34 reviews)
Udemy
platform
English
language
Databases
category
instructor
A beginners guide to Data Warehouse  and Big Data
386
students
2 hours
content
Jun 2021
last update
$29.99
regular price

Why take this course?

🚀 Master Data Warehousing and Big Data with Tech Academy's Comprehensive Course!


🎓 Course Instructor: Tech Academy

🌍 Course Title: A Beginner's Guide to Data Warehousing and Big Data

👀 Headline: Unlock the Secrets of Data Management with Our Expert-Led Course on Data Warehousing and Big Data!


📘 Course Description:

Dive into the world of data management and analytics with our beginner-friendly online course. This comprehensive guide will equip you with the essential skills to implement a basic data warehouse solution using powerful tools such as Microsoft SQL Server, Microsoft SQL Server Integration Services (SSIS), and Microsoft SQL Server Data Tools (SSDT). Beyond the basics, you'll get an introductory glimpse into the vast realm of Big Data.

🤔 What is Big Data? It's more than just a buzzword—it's a transformative force in today's data-driven world. Discover the origins of this data, how it's collected at an unprecedented scale (volume), with diverse formats (variety), and processed swiftly (velocity). You'll explore real-world applications where Big Data analytics can shape user experiences, tailor marketing strategies, or optimize search engine results.

🔍 Hands-On Learning:

  • Understanding Data Warehousing Techniques: Grasp the fundamental techniques for data warehousing schema designs—Star and Snowflake—and understand their practical applications.

  • ETL Mastery: Learn to implement the Extract, Transform, Load (ETL) process efficiently using SQL Server Integration Services (SSIS).

  • Data Warehouse Implementation: Gain the skills to design fact and dimension tables, and develop a robust data warehouse structure.

  • Big Data Concepts: Explore the concepts that define Big Data, including the role of high volume, variety, and velocity in shaping modern data solutions.

🚀 Key Learnings:

  • 🌟 Schema Design Techniques: Master the Star and Snowflake schema designs for effective data warehousing.

  • 🛠️ ETL Process Implementation: Develop your skills in implementing ETL processes using SSIS and SSDT.

  • 📊 Data Warehouse Design & Implementation: Learn to design a physical data warehouse using SQL views, and understand how to implement it from the ground up.

  • 🔐 Big Data Insights: Gain knowledge of Google's approach to Big Data, including Clusters, Nodes, the Google File System (GFS), MapReduce, and Hadoop.


What You Will Learn:

Star and Snowflake Schema Designs

  • Understand when to use each design for optimal data warehousing.

Implementing ETL Processes

  • Develop your skills in extracting, transforming, and loading data with SSIS and SSDT.

Physical Data Warehouse Design Using SQL Views

  • Learn to create a data warehouse using practical SQL views.

Designing and Implementing a Data Warehouse

  • From concept to creation, learn the end-to-end process of designing and implementing a data warehouse.

Big Data Concepts

  • Get an in-depth understanding of high volume, variety, and velocity data.

Google's Big Data Approach

  • Explore Google's innovative strategies for managing and processing large datasets.

Understanding Clusters and Nodes

  • Learn the architecture behind distributed computing systems.

Google File System (GFS)

  • Understand how GFS is used to store massive amounts of data reliably.

MapReduce

  • Discover the programming model for processing large data collections across clusters of computers using simple programming models.

Hadoop Ecosystem

  • Get familiar with the suite of open-source tools that allow for the distributed processing of large data sets.

Embark on your journey to becoming a data warehousing and Big Data expert today! 🌟 Enroll in our course and transform your career with the power of data at your fingertips. 🚀

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1084638
udemy ID
21/01/2017
course created date
21/11/2019
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