The digital universe is growing at an exponential pace. Get a look at courses that explore data analytics and business acumen, modern data needs, and Amazon, Microsoft and open-source data solutions.
(gentle music) - According to IBM, 90% of the data that existed in 2016 was created in 2015. And many data analysts believe that the digital universe will be approximately 40 times larger by 2020. Given this astounding prediction, firms that can pair data analytics with business acumen can gain a true competitive advantage, responding to their business challenges more quickly, more rigorously, and more successfully than their competitors. - [Lynn] When we're thinking about this new world of data, we go beyond the typical relational databases and we think in terms of streaming systems, data lakes, and data warehouses. And as we'll see in this course, Azure Databricks allows us to account for these new types of data needs all across the spectrum. Databricks itself is built on top of the open source Apache Spark core, and it includes this implementation integration with Microsoft Azure, auto-scaling, multi-language notebooks, built-in machine learning frameworks, and integrated security. It's interesting to see how Amazon is representing their services around the data analytics architecture. You can see that what they've shown here is that there's three different layers in analytics. The first is storage, then serverless compute, then data processing. And the primary location or service for storage is not a database anymore. It's why I started this course with S3 and Athena. It's a data lake. Why? It's cheaper. It's simpler to set up. S3 itself is serverless, and now we have Athena which is serverless. Working with serverless services allows you to be much more flexible, and it reduces cost. The industry is moving there fast. - [Robin] Data analyst work is as diverse as the job descriptions you'll read while looking for data jobs. The data analysts will work with data in all shapes and fashion, and the tools are as diverse as the data we encounter. Data analysts might often start with lines of data in databases, spreadsheets, or even CSV files. They turn those records into more meaningful results for others to interpret. - [Curt] Programs that let you create charts and graphs apply built-in color schemes to those visualizations. In this movie, I will show you how to change the sequence of colors that are applied to a Tableau visualization. If I want to distinguish each of these columns by color, then I need to make sure that I know which field is represented, and if I look at the horizontal axis, it looks like that I have product name. So have Basil, or Basil by the bottle, Hazelnut, and so on. So those look like product names, so I will go to the data panel, and I will drag product name to the Marks card and drop it on the color square. And there you see a couple of things happen. The first was that color was applied to the visualization, and the second is that a legend appeared over on the right side. (music fades)