Course info
Oct 31, 2012
1h 28m

In this course, ZDNet’s Big Data correspondent Andrew Brust teaches you all about Big Data. This course will get you up and running with the definitions and technologies you need to know, and the vendors you need to know about. By the end of the course, you’ll know what Big Data is, how it can integrate with conventional database and Business Intelligence (BI) technologies, and how to devise a strategy for adopting Big Data in your organization. No Big Data or NoSQL knowledge is required, but a lot will be imparted. This course is aimed at executives and business decision makers, and is actionable for technologists as well.

About the author
About the author

Andrew Brust is Senior Director of Technical Product Marketing and Evangelism at Datameer, and writes about Big Data for the technology news site, ZDNet. Andrew is the co-author of "Programming Microsoft SQL Server 2012" (Microsoft Press); an advisor to NYTECH, the New York Technology Council; serves as Microsoft Regional Director and MVP; writes the Redmond Review column for; and serves as co-chair of the Visual Studio Live! developer conference.

More from the author
Big Data on Amazon Web Services
3h 54m
30 Jan 2015
Excel: An Analytics Superhub
3h 2m
12 Jun 2013
SQL Big Data Convergence - The Big Picture
1h 21m
7 Mar 2013
More courses by Andrew Brust
Section Introduction Transcripts
Section Introduction Transcripts

Introduction to Big Data
I'm Andrew Brust for Pluralsight and this course is Big Data: The Big Picture. This course is designed to give a broad and somewhat deep understanding of Big Data, both to those who already have some understanding of the topic and would like to know it more thoroughly and more comprehensively as well as those who have merely an awareness of Big Data and would like to understand it in a more precise way. We're going to establish this understanding by looking at the definition of Big Data or shall I say the definitions of Big Data. We'll then move on to understand the component technologies that together, collectively, make up Big Data and make up the Big Data landscape. Speaking of landscape, we'll also want to understand the market. So we'll get a sense of the different vendors in the market and we'll kind of look at those different vendors by product categories and subcategories. That will help us get a good understanding around what technologies to standardize on and to adopt and to procure. That will lead us right into putting together a good strategy around the adoption of Big Data in your organization including questions that need to be considered and answered, pitfalls that need to be avoided, and putting together a set of steps for implementing adoption of Big Data in your organization. Before we move on with looking at definitions of Big Data though, let's get an understanding for what makes it such an industry phenomenon. What has given rise to the prominence of Big Data of late?

Big Data Defined
I'm Andrew Brust and this module is Big Data Defined. In this module we will be defining the term Big Data. In fact we'll be presenting a number of different definitions in order to produce a collective or consensus definition that we can be comfortable with. We'll also be looking at a key concept, a key processing concept called MapReduce and we'll consider what the term Data Scientist means. This module is crucial in terms of getting things cued up so that we can look at the various technologies and vendors that really define the big data world and the big data industry.

This is Andrew Brust for Pluralsight, and this module is technologies. In this module we'll be taking a look at the technologies that collectively make up the Big Data world. We'll be focusing very specifically on Hadoop, but we'll also be looking at massively parallel processing or mpp data warehouse appliances, NoSQL databases, NewSQL databases, and we'll even talk about hybrids that combine some of these categories into single products.

I'm Andrew Brust for Pluralsight and this module is vendors. As the name would imply, in this module we're going to take a look at the major vendors who together make up the big data marketplace. We're going to start by looking at the major vendors in the Hadoop space specifically, but we're going to fan out to the other technology categories that we looked at in the previous module, the technologies module, so we'll also look at vendors in the MPP data warehouse space, in the NoSQL space, in the NewSQL space, and we'll also look at vendors in the data visualization and analytics data integration space, and the straight up BI space as well. That'll give you a pretty comprehensive understanding of who all the companies are in the greater world of data and data analysis and it should get you well on the way to understanding which company's products you'll either want to procure or at least pilot in your own organization.

I'm Andrew Brust for Pluralsight and this module is Strategy. This is the final module in our Big Data: The Big Picture course. We've already taken a look at definitions around Big Data, the technologies that make up Big Data and the vendors that together comprise the Big Data market place. With all of this in place, we have what we need to construct the questions that we need to consider, the decisions that we need to make, the pitfalls we need to avoid, and the road map that we can use to bring Big Data into our organizations.