Big Data Systems Architecture with Apache Hadoop and Spark
Learn the fundamentals of Big Data and how different tools can be used to store, analyze, and extract data. Ideal for those with a technical background looking to start in the IT field.
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)
Today, many organizations are relying on an ever expanding sources of data to help them in their business processes. Data gathered from business process, competitors, social media, and other sources has become an important resource in allowing organizations to be more competitive. The data can be used to perform business analytics, measure and visualize key performance indicators, or train advanced machine learning models all in an effort to drive efficiency in an organization’s business processes.
Organizations always had data that they stored, this is not something new. What has changed in the past decade is both the volume and the variety of data that organizations have access to. Since the volume of data is increasing and the variety of data types organization use is expanding, traditional software tools that relied on structured data are finding limitations in many organizations. Distribured big data tools are needed that can handle the volume and variety of the data that organizations deal with.
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. 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.
Let’s get started!
Who this course is for:
- Ideal for someone with some technical background who wants to get the big picture overview of the IT field and get a start in the Big Data field.
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