Apache Hive Training | Master Data Warehousing on Hadoop

Become a Big Data Expert with Apache Hive — Instructor-led Live Online Sessions

Apache Hive Training by Laliwala IT is designed for data engineers, analysts, and big data enthusiasts who want to master HiveQL and data warehousing on Hadoop. Based in Ahmedabad, Gujarat, India, we deliver live, interactive, project-based training covering everything from Hive fundamentals to advanced querying, partitioning, and performance tuning.

Our online Apache Hive course features real-time instructor-led classes, hands-on projects, flexible schedules, and career guidance. Whether you're a beginner or an experienced professional, this training will make you proficient in handling massive datasets using Hive.

Course Modules — Comprehensive Apache Hive Training (4-5 Weeks | 35+ Hours)

Module 1: Big Data & Hive Fundamentals – Hive architecture, Hive vs RDBMS, data warehousing concepts, Hadoop ecosystem integration
Module 2: Hive Installation & Configuration – Setting up Hive metastore, Derby vs MySQL metastore, HiveServer2, Beeline CLI
Module 3: HiveQL Basics – Database & table creation, data types, loading data, INSERT, SELECT, WHERE clauses
Module 4: Advanced HiveQL – JOINs (inner, outer, semi), subqueries, UNION, GROUP BY, HAVING, ORDER BY vs SORT BY
Module 5: Table Partitioning & Bucketing – Static vs dynamic partitioning, bucketing benefits, partition pruning optimization
Module 6: Hive Built-in Functions – String, date, math, aggregate functions, conditionals, type conversion functions

Module 7: User Defined Functions (UDF) – Creating custom UDFs, UDAFs (aggregate), UDTFs (table-generating), Java integration
Module 8: Hive File Formats & Compression – Text, SequenceFile, RCFile, ORC, Parquet; compression codecs (Snappy, Gzip, LZO)
Module 9: Performance Optimization – Cost-based optimizer (CBO), vectorization, Tez execution engine, join optimizations
Module 10: Hive with Other Tools – Hive + HBase integration, Hive + Spark, Hive Streaming, HCatalog, WebHCat
Module 11: Security & Authorization – Authentication, authorization, Apache Ranger integration, storage based authorization
Module 12: Real-World Capstone Project – Build ETL pipeline, process logs/clickstream data, generate analytics reports

What's Included in Apache Hive Training?

Live Instructor-led classes (real-time Q&A, screen sharing, doubt clearing)
Recorded sessions for revision anytime
Hands-on assignments & industry-level big data projects
Study materials (PDFs, Hive scripts, datasets)
Certificate of completion (recognized by industry partners)
Placement assistance – resume & interview prep, freelance guidance
Lifetime access to course updates and alumni community

Detailed Curriculum Highlights

Week 1-2: Core Hive & HiveQL Mastery

Introduction to Hadoop ecosystem and Hive's role
Local Hadoop cluster setup (Cloudera/Hortonworks sandbox)
Hive CLI, Beeline, and HiveServer2 configuration
Creating managed vs external tables
Loading data from HDFS (LOAD DATA, INSERT OVERWRITE)
Complex data types: ARRAY, MAP, STRUCT, UNION
Writing nested queries and common table expressions (CTE)
Window functions: ROW_NUMBER, RANK, LEAD, LAG, OVER clause

Week 3-4: Advanced Optimization & Integration

Partition strategies: choosing partition keys, avoiding small partitions
Bucketing – evenly distributing data, sampling optimization
ORC & Parquet columnar formats – performance benchmarks
Writing custom UDFs in Java and Python (Hive Streaming)
Cost-based optimizer (CBO) and statistics gathering
Vectorized query execution and Tez vs MR engine comparison
Hive on Spark – configuration, memory management
Integration with HBase – Hive-HBase table mapping

Week 5: Enterprise Hive & Capstone Project

HCatalog – shared schema across Pig, MapReduce, Spark
WebHCat REST API – submitting Hive jobs remotely
Apache Ranger integration for fine-grained access control
ACID properties – transactions, update/delete in Hive
Streaming ingestion with Kafka + Hive Streaming API
Performance tuning: map/reduce join optimizations, skew joins
Monitoring Hive queries – Tez UI, Hive logs, explain plans
Capstone: build end-to-end data warehouse for e-commerce analytics

Tools & Technologies Covered

Apache Hive 3.x, HiveQL, Hadoop HDFS, YARN
Execution Engines: MapReduce, Tez, Spark
Metastore: MySQL, PostgreSQL, Derby
File Formats: ORC, Parquet, Avro, SequenceFile
Compression: Snappy, Gzip, LZO, Zstandard
Integration: HBase, Spark SQL, Kafka, Ranger, Atlas
Development: Eclipse, IntelliJ, Python, Java

Why Choose Laliwala IT for Apache Hive Online Training?

Industry Expert Trainers: 10+ years of Big Data & Hadoop experience
Live Project Experience: Build at least 3 real-world ETL pipelines + final portfolio
Flexible Batches: Weekday & weekend options, recorded backup for missed classes
Small Batch Size: Max 10-12 students for personalized attention
Affordable Fees: High-quality training at competitive rates from Ahmedabad hub

Job Assistance: Regular tie-ups with IT companies & placement cell
Certification: ISO & Govt recognized certificate after successful completion
24/7 Lab Access: Online Hadoop clusters & learning management system
Global Recognition: Trained students from India, USA, UK, Canada, Australia, UAE
Post-training Support: Doubt clearing via dedicated forum & email for 6 months

Who Should Join?

Data Analysts wanting to process big data using SQL-like queries
ETL Developers moving to Big Data platforms
Database Administrators learning data warehousing on Hadoop
Software Engineers interested in Big Data ecosystem

Data Scientists requiring efficient data processing
College students seeking job-ready Big Data skills
Working professionals aiming for Hadoop/Hive certification

Enroll Now

Start your Apache Hive journey with Laliwala IT.

Learn from industry experts, build real-world data pipelines, and get certified. Our Apache Hive training gives you flexibility with lifetime resources and placement support.

Get In Touch

Shahibaug Road, Delhi Darwaja, Ahmedabad. Gujarat. India.

contact@laliwalait.com

+91-9904245322

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