Data Engineering

Data Engineering at ARSU
ARSU is a distinguished leader in providing advanced data engineering training, specifically tailored to harness the power of leading cloud platforms including Azure, AWS, and GCP, coupled with expertise in Snowflake and DBT tools. Our commitment is to equip you with the skills to excel in the rapidly evolving landscape of big data and cloud technologies.

Expert-Led Training
Our courses are designed by data engineering experts who are deeply integrated within the industry, ensuring that all training materials are not only up-to-date but also aligned with real-world applications. This approach guarantees that ARSU students are industry-ready, and equipped with knowledge and practices that are currently in demand.

Comprehensive Curriculum
We offer a comprehensive curriculum that covers everything from the fundamentals of data engineering to advanced concepts in cloud computing and data integration using Snowflake and DBT. Each module is structured to provide practical skills and theoretical knowledge, enabling you to leverage data across various cloud environments effectively.

Customized Learning Paths
Understanding that each learner has unique goals, ARSU provides customized learning paths that cater to various professional needs. Whether you are looking to start a new career in data engineering or aiming to upgrade your existing skills, our programs are tailored to fit your specific professional journey.

Real-World Applications
At ARSU, we emphasize real-world applications and hands-on practice. Our training includes live projects and case studies that simulate actual challenges in the field, preparing you to handle complex data environments and drive decisions in any organizational context.

Join Our Community of Innovators
By joining ARSU, you become part of a community of forward-thinking professionals and leaders in software engineering. We foster an environment that encourages innovation, collaboration, and continuous learning.

Advance Your Career with ARSU
Dedicated to your growth and professional development, ARSU invites you to explore the dynamic field of data engineering. Connect with us to learn more about how our specialized training can help you achieve your career objectives in the era of cloud computing and big data.

Hadoop

HDFS

  • Daemons of Hadoop and its functionality
  • Anatomy of File Wright, read
  • Parallel Copying using DistCp
  • Hadoop federation (H.F)
  • Hadoop High Availability(H.A)
  • CLI commands

MapReduce

  • Difference between MR1 and YARN.
  • Data flow in MapReduce
  • Understand the Difference Between Block and Input Split
  • How MapReduce Works

HIVE

  • Introduction to HIVE
  • HIVE MetaStore
  • HIVE Architecture
  • Tables in HIVE
  • Hive Data Types
  • Different ways of loading the data to hive tables
  • HIVE Beeline command options
  • output format types - CSV2, TSV2,DSV
  • Set commands
  • Performance tuning options
  • Hive File formats ORC, RC, Sequence, Parquet, AVRO
  • Partition and Bucketing explanation with execution.
  • Joins in HIVE
  • HQL query preparation
  • MSCK repair command
  • Different types of compression techniques
  • Window functions & Analytical functions

SQOOP

  • Introduction to SQOOP
  • Sqoop commands and options
  • Sqoop Export to MySQL
  • Sqoop Job
  • Incremental load
  • Append load

Spark

Databrciks pyspark with Azure

  • Databricks in Azure Cloud
  • Working with DBFS and Mounting Storage
  • Unity Catalog - Configuring and Working
  • Unity Catalog User Provisioning and Security
  • Working with Delta Lake and Delta Tables
  • Manual and Automatic Schema Evolution
  • Incremental Ingestion into Lakehouse
  • Databricks Autoloader
  • Delta Live Tables and DLT Pipelines
  • Databricks Repos and Databricks Workflow
  • Databricks Rest API and CLI

Capstone Project

This course also includes an End-To-End Capstone project. The project will help you understand the real-life project design, coding, implementation, testing, and CI/CD approach.

Spark SQL