Learn Big Data Hadoop: Hands-On for Beginner

In this course, you will learn Big Data using Apache Hadoop. Why Hadoop? It is one of the most sought-after skills in the IT industry. The average salary in the US is $112,000 per year, up to an average of $160,000 in San Fransisco (source: Indeed).

This course is designed for Beginners in Apache Hadoop Development and looking out for a new job as Data Engineer, Big data Engineers or Developers,  Software Developer

The world of Hadoop and "Big Data" can be intimidating - hundreds of different technologies with cryptic names form the Hadoop ecosystem but you'll go hands-on and learn how to use them to solve real business problems! Understanding Hadoop is a highly valuable skill for anyone working at companies with large amounts of data.

You will learn how to use the most popular software in the Big Data industry at moment, using batch processing as well as realtime processing.

Step into the world of Big Data and unlock the tools that power global giants like Facebook, Netflix, and Google! This comprehensive 14-hour course is your gateway to mastering the most sought-after technologies in data management, processing, and analytics. Designed for both beginners and professionals, this course covers everything you need to build a robust foundation in big data technologies and make a real impact in your career.

From Hadoop to Python, Apache Kafka to Hive, we’ll take you on a hands-on journey to understand, implement, and integrate the tools that are revolutionizing industries worldwide. Get ready to gain job-ready skills in record time and position yourself as a leader in the data-driven economy.

Technologies Covered:

1. Big Data Fundamentals: Understand the concepts driving the big data revolution and learn how organizations harness it for success.

2. Hadoop: Master the backbone of big data ecosystems for storing and processing massive datasets.

3. YARN: Dive into Hadoop’s resource management and scheduling framework to optimize data workflows.

4. MapReduce: Learn to write powerful, distributed data processing algorithms to handle large-scale tasks efficiently.

5. Apache Pig: Simplify big data processing with Pig’s high-level scripting interface.

6. Apache Hive: Transform data into actionable insights using Hive’s SQL-like querying capabilities.

7. Apache Sqoop: Seamlessly transfer data between Hadoop and relational databases for integrated analytics.

8. Apache Flume: Streamline real-time data ingestion from multiple sources into your big data ecosystem.

9. Apache Kafka: Build scalable, fault-tolerant messaging systems to handle real-time data streams.

10. Python for Big Data: Combine Python’s flexibility with big data tools to build dynamic, scalable solutions.

What You’ll Gain:

• Comprehensive Skill Set: Become proficient in industry-standard tools and frameworks driving the big data revolution.

• Hands-On Experience: Work on practical, real-world projects that give you the confidence to handle big data challenges like a pro.

• Career-Ready Expertise: Equip yourself with the knowledge and skills to land top roles in big data, analytics, and data engineering.

Who Should Enroll:

• Aspiring Data Engineers & Analysts looking to enter the lucrative big data field.

• IT Professionals wanting to upskill and stay relevant in a data-driven world.

• Entrepreneurs & Business Leaders seeking to harness big data for strategic decision-making.

Don’t miss your chance to master these game-changing technologies in just 14 hours. Enroll now to kickstart your journey in big data and transform your career!

You'll walk away from this course with a real, deep understanding of Hadoop and its associated distributed systems, and you can apply Hadoop to real-world problems. Plus a valuable completion certificate is waiting for you at the end!

Please note the focus on this course is on application development, not Hadoop administration. Although you will pick up some administration skills along the way.