Hive Training
Introduction to Hive
Gain an understanding of Apache Hive, a data warehouse infrastructure built on top of Hadoop. Learn about its purpose, key features, and how it enables efficient querying and management of large datasets.
Getting Started with Hive
Learn how to set up Hive in a Hadoop environment. Understand the installation process, configuration settings, and how to start using Hive to interact with Hadoop's data storage.
Hive Architecture and Components
Explore the architecture of Hive, including its components like the Hive Metastore, HiveQL, and execution engines. Understand how these components work together to provide data management and querying capabilities.
HiveQL: The Hive Query Language
Discover HiveQL, the SQL-like language used for querying data in Hive. Learn how to write and execute HiveQL queries, including SELECT statements, JOINs, and aggregations.
Data Modeling in Hive
Understand how to design and implement data models in Hive. Learn about tables, partitions, buckets, and how to optimize your schema for efficient querying and data management.
Loading and Managing Data in Hive
Learn how to load data into Hive from various sources. Explore different methods for data ingestion, including loading data from HDFS, external tables, and integration with other data sources.
Hive UDFs and Custom Functions
Explore User-Defined Functions (UDFs) in Hive. Learn how to create and use custom functions to extend HiveQL capabilities and perform complex transformations and calculations on your data.
Optimizing Hive Performance
Discover techniques for optimizing Hive performance. Learn about query optimization, partitioning strategies, indexing, and configuration settings that can enhance query execution and data processing efficiency.
Hive Security and Access Control
Understand security features and best practices in Hive. Learn about user authentication, authorization, and how to secure your Hive data and queries to ensure compliance and data protection.
Integrating Hive with Other Tools
Explore how to integrate Hive with other big data tools and technologies, such as Apache HBase, Apache Spark, and data visualization tools. Learn how these integrations can enhance data analysis and processing.
Hands-On Labs and Projects
Engage in hands-on labs and projects to apply your Hive knowledge. Work on real-world scenarios to develop practical skills in using Hive for data warehousing, querying, and managing big data.
Hive Syllabus
Introduction to Apache Hive
- Overview of Hive
- What is Apache Hive?
- History of Hive
- Architecture of Hive
- Components of Hive Architecture
- How Hive Interacts with Hadoop
- Hive vs. Traditional Databases
- Comparison with RDBMS
- Use Cases for Hive
- Installing and Configuring Hive
- Prerequisites for Installation
- Steps to Install Hive
Basic Hive Commands
- Starting Hive Shell
- Accessing the Hive Shell
- Basic Commands
- Basic Hive Queries
- Writing Simple Queries
- Executing Commands
Manipulating Data in Hive
- Hive Data Types
- Primitive Data Types
- Complex Data Types
- Tables in Hive
- Creating Tables
- Understanding Managed and External Tables
- Importing Data
- Data Import Methods
- Loading Data from Local and HDFS
- Exporting Data
- Exporting Data to Local and HDFS
- Using Data Export Tools
- Modifying and Updating Data
- Updating Existing Records
- Deleting Data
Getting Data from Hive
- HiveQL Select
- Selecting Columns
- Using Expressions in Select
- Sorting and Ordering Data
- Ordering the Results
- Sorting vs Ordering
- Hive Functions
- Built-in Functions
- Creating Custom Functions
- Saving Query Results
- Saving Results to HDFS
- Storing Results in the Local File System
Aggregating Data with Hive
- Using Group By
- Syntax of the Group By
- Grouping Data for Aggregation
- Hive Aggregate Functions
- Common Aggregate Functions
- Using Aggregates in Queries
- Advanced Aggregations
- Cube and Rollup
- Grouping Sets
- Having Clause
- Filtering Aggregated Data
- Syntax and Use Cases of Having
Filtering Results with Hive
- Basic Filtering
- Using Where Clause
- Filtering Data with Predicates
- Advanced Filtering
- Working with Boolean Operators
- Complex Filter Conditions
- Pattern Matching
- Using Like Operator
- Regex Matching in Hive
- Handling NULL Values
- Understanding NULL in Hive
- Filtering with NULL Values
Joining Tables
- Understanding Joins in Hive
- Types of Joins in Hive
- Join Conditions and How They Work
- Implementing Joins
- Syntax of Joins
- Performance Considerations
- Multi-table Joins
- Joining Multiple Tables
- Handling Large Table Joins
- Optimizing Joins
- Map Join Hint
- Optimizing Join Strategies
Manipulating Data
- Hive Transactions
- ACID Properties in Hive
- Managing Transactions
- Data Transformation
- Using Transform for Data Manipulation
- Writing Custom Scripts for Transformation
- Indexing in Hive
- Creating Indexes
- Index Types and Usage
- Optimizing Hive Queries
- Best Practices for Query Optimization
- Understanding Explain Plan
- Hive Scripting
- Writing Hive Scripts
- Automating Tasks with Scripts
Training
Basic Level Training
Duration : 1 Month
Advanced Level Training
Duration : 1 Month
Project Level Training
Duration : 1 Month
Total Training Period
Duration : 3 Months
Course Mode :
Available Online / Offline
Course Fees :
Please contact the office for details