Big Data Analytics with Tableau

Learn how to quickly and easily develop insights from your Big Data. This course covers all the basics of Big Data systems including functional examples using Tableau Software's powerful analytics platform.
Course info
Rating
(283)
Level
Intermediate
Updated
Jul 22, 2013
Duration
3h 44m
Table of contents
Description
Course info
Rating
(283)
Level
Intermediate
Updated
Jul 22, 2013
Duration
3h 44m
Description

Analyzing terabytes of data can be daunting, so what do you do with petabytes? The era of Big Data is upon us and it's time to sharpen up the toolbox in this new genre of systems and technologies. In this course Ben explains the evolution of Big Data systems, as well as, the various architectures and popular vendors in this space. After covering the fundamentals of Big Data systems Ben covers how to access these systems using Tableau Software. Using Tableau Software he covers how to work with your Big Data and visualize in ways that will leave your boss singing your praise.

About the author
About the author

I work as a feedback mechanism for organizations and teams to help them understand what’s going on with their products and processes. I do this by collecting and organizing their data, visually exploring it, enriching it with other data and metrics, then presenting my findings using creative information design techniques. This leads to improved business performance and often sparks a data-driven culture throughout my clients organizations.

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Section Introduction Transcripts
Section Introduction Transcripts

Big Data Analytics
Hi, this is Ben Sullins and welcome to my course on big data analytics. In this course, I'm going to walk you through an introduction to big data, we will talk about MPP databases, I'll cover the cloud options for storing your big data up in a cloud, we will walk through how to access your big data up in a cloud, we'll walk through how to access your big data using Tableau software, we'll visualize that data set with Tableau, and then we'll talk about how to share your work. In this overview, we're going to talk about why big data exists, what led to its evolution, and then we'll get into what it is, what it is not, there are a lot of myths out there. It's probably the most overused term in the BI Space these days. We'll talk about big data and scalability, all the different storage types that exist from a generic sense, and then we'll talk about some of the different vendors that exist.

MPP Databases
Hi, this is Ben Sullins and in this module we're going to cover massively parallel processing or MPP databases. MPP databases are a new technology that is the analytical powerhouse allowing us to really leverage our big data for analytics. They do things a bit differently than your traditional systems and they're a little bit closer to a relational database though than your big data storage engines in that they're designed for fast query access. We'll start with an introduction to MPP databases. I'll talk about scalability here, we'll get into data distribution, talk about querying them. Like I said, these are designed for querying, so they often have lots of great options for this fast query access. We'll look at the different vendors there are and talk about Tableau support for these MPP database systems.

Big Data in the Cloud
Alright, this is Ben Sullins and in this module I'm going to go through cloud big data sources. I'm going to start with why would we put big data in the cloud, I'll talk about Amazon Redshift, then I'll get into Google Big Query, how to choose between the two, and finally I'll cover Tableau connectivity.

Accessing Big Data with Tableau
Hi, this is Ben Sullins, and I'm going to walk you through Accessing Big Data with Tableau. I'm going to start off with an introduction to visual analysis. I'll go through Tableau's product family, go over the terminology of the application, and all the jargon that folks that use Tableau use often. I'll actually walk you through functional examples of connecting to data and all those different options. I'll show you how to work with data in Tableau in terms of the metadata layer and all the adjustments you can make, and then we'll go into demos about how to actually work with your data and connect to it using Tableau. Now, I'll probably use Excel for a lot of the beginning portions, because once you've connected to your data, there really isn't much difference, and then I'll go through the individual connection options for the different big data systems that Tableau supports.

Visualizing Big Data with Tableau
Hi, this is Ben Sullins, and I'm going to walk you through Visualizing Big Data with Tableau. I'm going to start with a terminology review; we'll get into some basic charting options, talk about calculations, get into actually building some dashboards, and formatting them so that way we have a visually compelling store, making them interactive, so our users have a way to explore and answer their own questions, and finally getting into how to do this from a source like Google BigQuery, an actual big data source. We're going to go through all these steps using the sample data set which comes with Tableau, which is Excel, and then I'll show you the similarities and differences down at the end when we get to Google BigQuery. Alright, so let's go.

Sharing Options
Hi, this is Ben Sullins, and I'm going to walk you through Sharing your Tableau Views. So far in this course we've learned about big data, why it exists, what the different platforms are, how to connect those sources, how to work with the data in Tableau, then how to build actual visualization using our big data sources as well as our regular data sources like Excel files. So, let's first talk about the different options we have to share Tableau views. We'll talk about Tableau Reader; I'll demo that for you, I'll talk about Tableau Public, as well as a demo of that, and lastly, we'll talk about Tableau Server, which is the Enterprise BI tool for Tableau.