Big Data and Spark for Data Engineers udemy course free download
What you'll learn:
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Setup Development Environment to learn building Data Engineering Applications on GCP
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Database Essentials for Data Engineering using Postgres such as creating tables, indexes, running SQL Queries, using important pre-defined functions, etc.
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Data Engineering Programming Essentials using Python such as basic programming constructs, collections, Pandas, Database Programming, etc.
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Data Engineering using Spark Dataframe APIs (PySpark). Learn all important Spark Data Frame APIs such as select, filter, groupBy, orderBy, etc.
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Data Engineering using Spark SQL (PySpark and Spark SQL). Learn how to write high quality Spark SQL queries using SELECT, WHERE, GROUP BY, ORDER BY, ETC.
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Relevance of Spark Metastore and integration of Dataframes and Spark SQL
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Ability to build Data Engineering Pipelines using Spark leveraging Python as Programming Language
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Use of different file formats such as Parquet, JSON, CSV etc in building Data Engineering Pipelines
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Setup self support single node Hadoop and Spark Cluster to get enough practice on HDFS and YARN
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Understanding Complete Spark Application Development Life Cycle to build Spark Applications using Pyspark. Review the applications using Spark UI.
Requirements::
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Laptop with decent configuration (Minimum 4 GB RAM and Dual Core)
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Sign up for GCP with the available credit or AWS Access
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Setup self support lab on cloud platforms (you might have to pay the applicable cloud fee unless you have credit)
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CS or IT degree or prior IT experience is highly desired
Description:
Join the most comprehensive Apache Spark Hands-on Course, because now is the time to get started!
From basic concepts about Big data and Spark to PySpark, Spark SQL, Databricks, submitting a live application on Spark cluster, this course covers all you need to know to become a successful Spark Data Engineer!
But that's not all! Along with covering all the steps of Spark Data Engineering functions, this course will also have quizzes and projects, which allow you to practice the things learned throughout the course!
You'll not only learn about the concepts but also practice each of those concepts through hands-on and real-life Projects.
And if you do get stuck, you benefit from extremely fast and friendly support - both via direct messaging or discussion. You have my word!
With more than two decades of IT experience, I have designed this course for students and professionals who wish to master industry-standard Spark Data Engineering projects.
This course will be kept up-to-date to ensure you don't miss out on any changes once Spark is required in your project!
Why Data Engineering & Spark?
In current times, Data Engineering is among the most popular career choices. Data Engineering and Machine Learning are among the best jobs of 2019 with a 344% average growth in Salary.
The following features of Spark make it the most desirable data engineering tool:
Compatibility with Hadoop
At least 100 times faster than Hadoop MapReduce
Highly diverse nature of Spark with APIs available in Python, Java, SQL, and R
Spark is the only software framework that combines data and AI. Using Spark one can do large-scale data transformation and analysis and then immediately run AI and Machine learning algorithms on it.
Build-in unified analytics platform by the cloud providers like Databricks
If you are looking for a thriving career in Data Engineering, this is the right time to learn Spark. Knowledge of Spark will open up a lot of opportunities.
That provides hands-on working experience and also helps to learn through hands-on projects.
Don't be left out and prepare well for these opportunities.
So, what are you waiting for?
Pay once, benefit a lifetime!
This is an evolving course! Spark and future enhancements will be covered in this course. You won’t lose out on anything! Don’t lose any time, gain an edge, and start now!
Who this course is for:
- Data Engineer
- Developer
- System Integrator
- Data Integrator
- Data Analyst
- Data Science
- Project Manager
Course Details:
- 3 hours on-demand video
- 5 articles
- Full lifetime access
- Access on mobile and TV
- Certificate of completion