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

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书目名称Beginning Apache Spark Using Azure Databricks影响因子(影响力)




书目名称Beginning Apache Spark Using Azure Databricks影响因子(影响力)学科排名




书目名称Beginning Apache Spark Using Azure Databricks网络公开度




书目名称Beginning Apache Spark Using Azure Databricks网络公开度学科排名




书目名称Beginning Apache Spark Using Azure Databricks被引频次




书目名称Beginning Apache Spark Using Azure Databricks被引频次学科排名




书目名称Beginning Apache Spark Using Azure Databricks年度引用




书目名称Beginning Apache Spark Using Azure Databricks年度引用学科排名




书目名称Beginning Apache Spark Using Azure Databricks读者反馈




书目名称Beginning Apache Spark Using Azure Databricks读者反馈学科排名

Apoptosis

Arthropathy

https://doi.org/10.1007/978-3-322-85729-3Let’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.

harbinger

https://doi.org/10.1007/978-3-322-85729-3Apache Spark has taken the world by storm the last few years. In this chapter, we’ll go through why it’s so and what Apache Spark actually is. We’ll also take a look at what Databricks brings to the table.

GNAT

https://doi.org/10.1007/978-3-322-85729-3In this chapter, I’ll show you how to get Databricks up and running in different cloud solutions. We’ll go through the different options you have to choose from and the pricing model that comes with them.

CANDY

Organization: From Substance to Image?Finally, you have Databricks up and running on whatever your platform of choice is. For the most part, it doesn’t really matter if you’re on AWS or Azure from a user interface standpoint; Databricks looks the same.

得罪人

https://doi.org/10.1007/978-3-030-67784-8All 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.

Assemble

独特性

https://doi.org/10.1007/978-1-4419-7350-4Python 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.

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