Data Engineering Services and Training | Dataledge Solutions

Dataledge Solutions > Data Engineering Services and Training

Big Data Engineering

Dataledge academy provide best big data online training course based on real time examples. The Big Data Hadoop training is designed to give you an in-depth knowledge of the Big Data framework using Hadoop and Spark. Here, you will execute real-life, industry-based projects using Integrated Lab. We Designed unique approach to provide a better learning experience to users on Data engineering, Bigdata and cloud.  if you are someone who are interested to know more about Bigdata or data engineering or someone one new to the data engineering can come to us to learn more about the technology, platform, services


What will you learn in this Big Data Hadoop online training?

Fundamentals of Hadoop and YARN and write applications using them.
HDFS, MapReduce, Hive, Pig, Sqoop, Flume, and ZooKeeper.
Spark, Spark SQL, Streaming, Data Frame, RDD, GraphX and MLlib writing Spark applications.
Working with Avro data formats.
Practicing real-life projects using Hadoop and Apache Spark.
Be equipped to clear Big Data Hadoop Certification. We will be providing big data courses for beginners also.
We, here at dataledge, believe in a practical approach as theoretical knowledge alone won’t be of help in a real-time work environment 

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Data on Cloud services

AWS Data engineering

Gain skills in Microsoft Azure, Amazon Web Services (AWS), cloud security management, and other cloud and virtualization topics to help you no matter where you are in cloud adoption.
Cloud computing is a method of computing where a shared group of resources such as file storage, web servers, data processing services and applications are accessed via the internet. Resources are housed in data centers around the world and are available to any person or device connected to the web.
We are offering comprehensive AWS certification course led by industry experts. This AWS training will prepare you for the AWS Solutions Architect certification exam. You will learn skills such as AWS Elastic Cloud Compute, Simple Storage Service, Virtual Private Cloud, Aurora database service, Load Balancing, Auto Scaling, and more by working on hands-on projects and case studies

big data engineer course



Familiarise with introduction of Big data space and architecture. Introduction of Hadoop and Spark. How distributed computing help solve critical data problems


Introduction to Hadoop framework. The components in Hadoop ecosystem like HDFS, Map reduce, Hive, Sqoop, Yarn and Oozie. Real world use cases.


Introduction Apache spark. Architecture study of spark. Prerequisite to learn spark. Advantages of Spark over other framework. RDDs, Dataframes and Datasets. Use cases.


Introduction to Real Time streaming. Difference between batch process and real time steaming.Spark steaming APIs. Structured streaming with Spark.


Introduction to Python programming. Basics of python. OOPS in python. Learn data exploration and analytics with python. Pyspark introduction. Mini projects.


Introduction to cloud computing. Introduction to AWS. Bigdata services in AWS. Learn about storage, compute and data base solution in AWS like EMR,s3, Lambda ..


Basics of CI/CD process in data engineering projects and why it is required. Introduction to GitHub, gitlabs. How the build and deployment happens in projects.


Learn the basics of data orchestration. How the jobs to executed and scheduled in real time. Learn different types of orchestration tools like Airflow, Oozie, Prefect , Rundeck ..


Introduction about how a data engineering projects works, what is the role of a data engineer on day to day basis. Real time use cases and project.