What is this course about?
This course covers all the fundamentals about Apache Spark streaming with Python and teaches you everything you need to know about developing Spark streaming applications using PySpark, the Python API for Spark. At the end of this course, you will gain in-depth knowledge about Spark streaming and general big data manipulation skills to help your company to adapt Spark Streaming for building big data processing pipelines and data analytics applications. This course will be absolutely critical to anyone trying to make it in data science today.
What will you learn from this lecture?
In this couse, you’ll learn the following:
Why should you learn Apache Spark streaming?
Spark streaming is becoming incredibly popular, and with good reason. According to IBM, Ninety percent of the data in the world today has been created in the last two years alone. Our current output of data is roughly 2.5 quintillion bytes per day. The world is being immersed in data, moreso each and every day. As such, analyzing static dataframes of non-dynamic data becomes the less practical approach to more and more problems. This is where data streaming comes in, the ability to process data almost as soon as it’s produced, recognizing the time-dependency of the data.
Apache Spark gives us unlimited ability to build cutting-edge applications. It is also one of the most compelling technologies of the last decade in terms of its disruption to the big data world. Spark provides in-memory cluster computing which greatly boosts the speed of iterative algorithms and interactive data mining tasks.
Spark also is a powerful engine for streaming data as well as processing it. The synergy between them makes Spark an ideal tool for processing gargantuan data firehoses.
Tons of companies, including Fortune 500 companies, are adapting Apache Spark to extract meaning from massive data streams, today you have access to that same big data technology right on your desktop.
What programming language is this course taught in?
This course is taught in Python. Python is currently one of the most popular programming languages in the world! It’s rich data community, offering vast amounts of toolkits and features, makes it a powerful tool for data processing. Using PySpark (the Python API for Spark) you will be able to interact with Apache Spark Streaming’s main abstraction, RDDs, as well as other Spark components, such as Spark SQL and much more!
Let’s learn how to write Spark programs with PySpark Streaming to process big data sources today!
30-day Money-back Guarantee!
You will get 30-day money-back guarantee from Udemy for this course. If not satisfied simply ask for a refund within 30 days. You will get a full refund. No questions whatsoever asked. Are you ready to take your big data analysis skills and career to the next level, take this course now! You will go from zero to Spark hero in 4 hours.