Data Engineering with AWS, Azure DataBricks, Apache Spark 3, Kafka, Airflow, Hive, Hadoop
Description
Complete Data Engineering Course
Training for Complete Data Engineering course with Big Data Hadoop and Spark. The course focuses on various aspects of Big Data frameworks like Hadoop and Spark along with Cloud Technologies like AWS Data Engineering Stack/ DataBricks. We will be learning about many tools in data engineering such as Spark/PySpark, Kafka, NIFI, AWS Data Engineering Services, DataBricks, Hive, Hadoop from scratch.
Course Content:
- ~1000 Interview Questions asked in Job Interviews across Various Organizations
- ~1000 Hands on Exercises
- Two End to End Data Engineering Projects
- Azure Databricks
- AWS EMR, Glue, Lambda, Kinesis
- DataBricks Certified Spark 3 Developer
- SparkStreaming
- KAFKA
- NIFI
- AIRFLOW
- Python Programming
- Apache Hadoop
- Apache Hive
- PySpark 500 Hands On Exercises
- SparkSQL
- Kafka
- NoSQL
Hands on Sessions | Doubt Sessions | Mock Interviews | Live Project Sessions : Will be conducted LIVE on weekends
Contact(Whatsapp) : +91 9028378280 for more details
What Will I Learn?
- Job interview preparation
- Covers most of the contents for "Databricks Certified Developer For Apache Spark 3.0" Certification
- In depth understanding of Hadoop Ecosystem components.
- Resume support.
- Enhanced understanding with Hands on exercises.
Topics for this course
Big Data Hadoop and Spark
Introductory Session1:04:49
Module 1 : Introduction to Big Data
Module 2 : Introduction to Hadoop
Module 3 : HDFS (Hadoop Distributed File System)
Module 4 : YARN (Yet Another Resource Negotiator)
Module 5 : Setting up Pseudo Distributed Hadoop Cluster
Module 6 : Map Reduce [Deprecated]
Module 7 : Advance Map Reduce [Deprecated]
Module 8 : AWS EMR | Complete Guide for Setting Up and Working with AWS EMR
Module 9 : Hive (SQL on top of Hadoop)
[Deprecated] Sqoop
[Deprecated] Flume
PREREQUISITE | Python for Pyspark
Module 10 : Apache Spark
Module 11 : Spark Programming Model
Module 12 : Spark SQL
PYSPARK 500 : Complete Hands On
PySpark DF Scenarios and Databricks Certification Practice
Module 13 : SparkSQL Advanced
Module 14 : Kafka
Module 15 : Spark Streaming
Module 16 : Hbase NoSQL database
Module 17 : Airflow
Module 18 : Cloud Computing Basics
Module 19 : AWS S3 : Storage
Module 20 : AWS Glue | ETL
Module 21 : AWS EMR
Module 22 : AWS Athena
Module 23 : AWS Redshift
Module 24 : AWS Kinesis
Course Material
End To End PySpark Project
Instructor
I will update feedback after completing the entire session. The video quality and explanations are great, but some videos are missing in the recording section. Additionally, there is no clear structure for doubt support, such as email notifications or a system to prepare questions in advance. It would be helpful to have a fixed time for asking questions, possibly by submitting them through a Google form.
Aamzing teaching methology and knowledge . Best course!!
Great teaching by Sandeep, really Genius and an amazing teacher. I can't thank you enough Sir. The way you teach every topic is awesome in the sense even a kid can understand it. Keep doing this great work. Love and huge respect from Pakistan.
The way of teaching is really amazing!! Joining this course is totally worth it. Anyone who is looking to have a successful career in Big data Engineering must enroll for the course!
Sandeep sir You are great. We easily understand what you taught. We are learning more from you. Thanks sir.
Good Teaching and everyone must join if they need to have good knowledge of Big Data.
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Technological Geeks
Contact Us
sdp117@gmail.com
Contact No: 9028378280
New Vishal Nagar, Gajanan Mandir, Garkheda, Aurangabad