Big Data Systems Architecture with Apache Hadoop and Spark
Learn the fundamentals of storing and analyzing unstructured big data using the Hadoop and Spark ecosystems
Created by Dr. Saber Amini | 21.5 hours on-demand video course
In this course, you will learn the fundamentals of how a wide variety of data can be stored and the major tools that organizations can use to extract data from different source, save them and then analyze the data accordingly. The major ecosystems used are Apache Hadoop and Apache Spark with some foray into NoSQL databases as well. Overall, this course will give you a solid foundation in data warehousing and analytics while giving you a broad overview of how different tools can be used within an organizaiton. With practice, you can not only use these tools but also gain confidence in recommending them as solutions to your organization.
What you’ll learn
- Intuitively understand what is Big Data and why it is challenging to deal with
- Explain how different tools fit in the Big Data field
- Differentiate between Big Data tools and none Big Data tools
- Utilize different tools for querying data
- Compare different tools available for storing and computing on data
- Design data pipelines for transfering and storing data
- Contrast between Big Data fileformats for better speed improvement
- Compare Apache Spark to the Hadoop ecosystem in terms of storage and speed efficiency
- Analyze data using Apache Spark structured API (DataFrames, Datasets, SQL)
- How to go about your job search in the IT field (resume and interview workshop)
Recommended Course
Taming Big Data with MapReduce and Hadoop – Hands On!
Big Data Visualization Toolkit (Tableau, Alteryx, QlikSense)
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