Data Lake Fundamentals (2025)
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 17m | Size: 1.41 GB
Published 4/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 17m | Size: 1.41 GB
Data Lakes Decoded: Starting from Scratch
What you'll learn
Definition and basic concept of Data Lakes
Comparison with other data storage solutions like Data Warehouses
How to ingest (import) data into a Data Lake
Various data ingestion methods, such as batch processing and real-time streaming
Understanding data formats, such as Parquet, Avro, JSON, and others
File systems like Hadoop Distributed File System (HDFS) and cloud-based storage options
Requirements
Familiarity with basic data concepts and terminology can be helpful.
Description
Unlock the power of modern Data Management and Analytics with our Data Lake Fundamentals course. In today's data-driven world, organizations are collecting and storing vast amounts of data, and Data Lakes have emerged as a vital component of this data ecosystem.This comprehensive course is designed to equip you with the essential knowledge and skills to navigate the world of data lakes. Whether you are a seasoned data professional, an aspiring data scientist, or a business leader eager to harness data for strategic decision-making, this course is tailored to meet your needs. What You'll Learn:Foundational Concepts: Understand the fundamental principles and concepts of data lakes, and how they differ from traditional data storage solutions.Data Ingestion: Learn how to ingest data into a data lake using various methods, including batch processing and real-time streaming.Data Storage: Explore the world of data formats and storage solutions, including popular file formats and storage systems.Data Transformation: Discover how to prepare, clean, and transform data in a data lake for meaningful analysis.Data Analytics and Querying: Master the art of querying and analyzing data stored in data lakes using SQL, Apache Hive, and other tools.Data Governance and Security: Understand the critical aspects of data governance, security, and compliance in data lake environments.
Who this course is for
Data Engineers and Data Architects looking to expand their knowledge and skills in data lake concepts and implementation.
Data Analysts and Data Scientists seeking to understand the foundational principles of data lakes for data exploration and analysis.
IT managers and administrators responsible for data infrastructure, storage, and governance.
Database Administrators (DBAs) interested in modern data storage solutions.
Business analysts who need to work with data in a data lake to extract insights for decision-making.
Professionals in non-technical roles who want a better understanding of how data lakes can benefit their organizations.
University students or individuals looking to start a career in data management, analytics, or related fields.
Small business owners who want to leverage data lakes for data storage, analysis, and reporting without an extensive technical background.
Enthusiasts or individuals from various backgrounds interested in understanding the fundamentals of data lakes, as data lakes play a crucial role in modern data ecosystems.