Why this course?

Description

Kickstart your journey into the world of big data with the Big Data Technologies Mastery Bundle! This comprehensive package combines three powerful courses to give you a strong foundation in big data, Hadoop, Hive, and Linux—essential skills for aspiring Data Engineers and Big Data professionals.

Through a mix of theory, hands-on practice, and real-world projects, this bundle prepares you to confidently handle large-scale data processing and analytics tasks. Whether you’re a beginner exploring big data technologies or a professional looking to upgrade your skills, this bundle is the perfect step toward building a lucrative career in big data engineering.

What’s Included:

1. Learn Big Data Hadoop: Hands-On for Beginner:
   Master the fundamentals of big data and Hadoop ecosystem tools, including YARN, MapReduce, Apache Pig, Apache Hive, Apache Sqoop, Apache Flume, Apache Kafka, and Python. Build a solid understanding of distributed data processing and the tools that power big data applications.

2. Apache Hive for Data Engineers (Hands-On) with 2 Projects:
   Dive deep into Apache Hive, the essential data warehousing tool. Learn to write efficient HiveQL queries, manage big data with ease, and work on two practical projects to showcase your expertise in data analytics and transformation.

3. Linux for Data Engineers (Hands-On):
   Gain a practical understanding of Linux, the backbone of big data infrastructure. Learn essential commands, scripting, and system management techniques that every Data Engineer needs to operate effectively in a big data environment.

Why Choose This Bundle?

• Comprehensive Learning: Covers all the foundational technologies required for a big data career.
• Hands-On Projects: Build real-world projects to enhance your portfolio and stand out to employers.
• Career-Focused: Gain skills that are in high demand for roles like Big Data Engineer, Data Analyst, and Hadoop Developer.
• Cost-Effective: Save more with this bundle versus purchasing courses individually.

Who Should Enroll?

• Aspiring Data Engineers looking for an entry point into the big data field.
• IT Professionals seeking to transition into big data roles.
• Students & Beginners eager to learn big data tools and technologies with hands-on guidance.
• Data Enthusiasts wanting to gain practical experience in Hadoop, Hive, and Linux.

Why This Bundle?

• Industry-Relevant Tools: Learn to work with the most widely used big data technologies.
• Real-World Applications: Master tools and techniques that are directly applicable to real-world big data challenges.
• Portfolio-Ready Skills: Build projects that showcase your technical capabilities and problem-solving skills.

Don’t just learn—excel! Enroll in the Big Data Technologies Mastery Bundle today and take the first step toward building a rewarding career in the exciting field of big data!

Big Data Technologies Package consists of

1) Apache Hive for Data Engineers (Hands-On) with 2 Projects

2) Linux for Data Engineers (Hands-On)

3) Learn Big Data Hadoop: Hands-On for Beginner

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.

One of the most valuable technology skills is the ability to analyze huge data sets, and this course is specifically designed to bring you up to speed on one of the best technologies for this task, Apache Hive! The top technology companies like Google, Facebook, Netflix, Airbnb, Amazon, NASA, and more are all using Apache Hive!

Built on top of Apache Hadoop, Hive provides the following features:

• Tools to enable easy access to data via SQL, thus enabling data warehousing tasks such as extract/transform/load (ETL), reporting, and data analysis.
• A mechanism to impose structure on a variety of data formats
• Access to files stored either directly in Apache HDFS™ or in other data storage systems such as Apache HBase™
• Query execution via Apache Tez™, Apache Spark™, or MapReduce
• Procedural language with HPL-SQL
• Sub-second query retrieval via Hive LLAP, Apache YARN and Apache Slider.