Titlebook: Beginning Apache Spark Using Azure Databricks; Unleashing Large Clu Robert Ilijason Book 2020 Robert Ilijason 2020 Azure Spark.Cloud Analy

營(yíng)養(yǎng)

opportune

Abrupt

Introduction to Large-Scale Data Analytics,Let’s start at the very top. This book is about large-scale data analytics. It‘ll teach you to take a dataset, load it into a database, scrub the data if necessary, analyze it, run algorithms on it, and finally present the discoveries you make.

preeclampsia

法官

朦朧

LAY

Getting Data into Databricks,All the processing power in the world is of no use unless you have data to work with. In this chapter, we’ll look at different techniques to get your data into Databricks. We’ll also take a closer look at file types that you are likely to come across in your data work.

sacrum

Querying Data Using SQL,Finally! We have our data loaded and ready in Databricks?– multiple exciting datasets to investigate. Now it’s time to start playing around with them. We’ll start by using one of the oldest data languages around.

你敢命令

The Power of Python,Python has quickly become one of the most important tools in the data science and data engineering communities. This chapter digs deeper into how you can use this language together with the Apache Spark DataFrames API to work with data in an efficient way.

JIBE

ETL and Advanced Data Wrangling,In this chapter, it’s time to dig a little deeper into Python tricks that’ll make your life easier. We’ll revisit a lot of topics that we’ve already talked about, but take them a step further. First up, we’ll remind ourselves of why this is important.