Learn Apache Hive with HDP Through Our HDP Apache Hive Course!

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HDP Apache Hive Course Overview


HDP Apache Hive is a powerful data warehousing solution built on top of Apache Hadoop. It is designed to analyze large volumes of data in a distributed environment. This course provides instruction on how to use Hive for data analysis and machine learning tasks. Students will learn about the fundamentals of Hive, including data types, SQL queries, data warehousing optimization techniques, and how to use Hive for data analysis tasks. Students will also learn how to integrate Hive with other Big Data technologies such as Apache Spark and Apache HBase. Additionally, the course covers advanced topics such as partitioning, bucketing, and writing UDFs. By the end of this course, students will have a thorough understanding of how to use Hive for data analysis tasks and will be well-equipped to solve real-world data analysis problems.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

The 1-on-1 Advantage
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Flexible Dates

  • • Choose Start Date
  • • Reschedule After Booking
  • • Weekend / Evening Option
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4-Hour Sessions

Free Demo

You will learn:

Module 1: Information Architecture and Big Data
  • Enterprise Data Warehouse Optimization
  • About Apache Hive
  • About Apache Zeppelin and Apache Superset (incubating)
  • Apache Hive Architecture
  • Apache Hive Basics
  • Apache Hive Transactions (Hive ACID)
  • SerDes and File Formats
  • Partitions
  • Bucketing
  • Skew and Temporary Tables
  • Data Sorting
  • Apache Hive User Defined Functions (UDFs)
  • Subqueries and Views
  • Joins
  • Windowing and Grouping
  • Other Topics
  • Cost-Based Optimization and Statistics
  • Bloom Filters
  • Execution and Resource Plans
  • Live Long and Process Overview
  • Apache Hive and LLAP Performance
  • Apache Hive and LLAP Installation
  • Apache Ranger
  • Apache Ranger and Hive
  • Apache Atlas
  • Apache Atlas and Hive Integration
  • Apache HBase Overview
  • Apache HBase Integration with Apache Hive
  • Apache Phoenix Overview
  • Apache Druid (incubating) Overview
  • Apache Druid (incubating) Queries
  • Apache Druid (incubating) and Hive Integration
  • Overview of Apache Sqoop
  • Introduction to Apache Spark
  • Apache Hive and Spark
  • Introduction to Apache NiFi
  • Apache NiFi and Apache Hive
  • EDW Offload Workshop
Live Online Training (Duration : 32 Hours) 1200 + If you accept merging of other students. Per Participant
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

The prerequisites for HDP Apache Hive Training include a basic understanding of the following topics or concepts:
• Hadoop framework
• Java basics
• SQL programming language
• Linux commands
• Data Warehousing concepts
• RDBMS & NoSQL

Target Audience


The target audience for HDP Apache Hive training is anyone involved in data analytics, including professionals working in the fields of data science, data engineering, business intelligence, data warehousing, analytics, and data virtualization
Also, IT professionals, and developers who want to optimize data analytics strategies and apply them in their analytics projects may benefit from the training
The training is especially suitable for individuals who need to analyze large data sets using Hive and understand and apply the concepts of map-reduce, SQL, and HDFS data storage
It can be used as a comprehensive introduction to big data or as an advanced level course for professionals seeking to refine their existing skills

Learning Objectives of HDP Apache Hive


1. Learn the basics of developing Big Data applications using Apache Hive and HDP.
2. Understand the architecture of Apache Hive in HDP.
3. Utilize the various features of Apache Hive such as tables, partitions, external tables, buckets, etc.
4. Learn how to query data using the HiveQL language.
5. Apply the features of Apache Hive to create efficient and effective Big Data applications.
6. Explore the interaction between Apache Hive and other components of HDP, including HDFS, YARN, ZooKeeper and Apache Tez.
7. Practice hands-on implementation of Apache Hive in HDP through labs and exercises.
8. Comprehend Hive optimization techniques such as partitioning, bucketing and indexing.
9. Utilize Apache Hadoop and Apache Hive to analyze datasets and draw business insights.
10. Acquire knowledge of the best practices to be followed while developing Big Data applications using Apache Hive and HDP.

Student Feedback  (Check Koenig Feedback on Trustpilot)

Q1 Say something about the Trainer? Q2 How is Koenig different from other training Companies? Q3 Will you come back to Koenig for training ?
Student Name Feedback
Abu
United States
A1. Yes, she was very clear & a strong mastery of both English & Azure platforms hence following was easy. She was also patient and was answering every question asked, she also shared material & tips on how to pass the exam, Well done, and keep it up.
Nick Barker
United States
A1. Calm and understanding, she not only kept the course running well but also took time to help those with lots of questions. Very well done.
Robin Johnson
United States
A2. Individual attention during training, excellent customer service and coordination. Neha has been ever so helpful and is definitely an asset to Koenig.
Shivani Prasad
United States
A1. The trainer was great and his teaching methods were incredible. He used different teaching methods to ensure I was learning well. A fun trainer with lots of patience and understanding.
Adam
United States
A1. The trainer was very knowledgeable and well prepared about the presentation/training subject, with a positive attitude towards students and making every effort in answering questions during the training session. Top-notch service!
Suresh
United States
A1. Exceptional... recommend to everyone!
Shyam Vaddakapett
United States
A1. My trainer, Mohit Kakkar was excellent as he focused on hands-on assignments to supplement the concepts of AZ 900. The training coordinator Jasmeet as well as the ops manager Sheshadri are also very professional and customer-centric. I recommend Koenig for training courses, and I will take some more courses with them soon.
Gilles Chirlias
United States
A1. Chavi was a great teacher, I have learned a lot from her. I would like to have her for the next training, which would be the AZ 301 and AZ 500.
Abdulrahman Saad Alshahrani
United States
A1. Excellent trainer. I will take another course with him someday. He deserves a good appreciation from his Manager.
Anonymous
United States
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FAQ's

1-on-1 Public - Select your start date. Other students can be merged.
1-on-1 Private - Select your start date. You will be the only student in the class.
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