Apache Spark is one of the most widely used technologies in big data analytics. In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. You will also learn how to work with Delta Lake, a highly performant, open-source storage layer that brings reliability to data lakes. By the end of this course, you will be able to use Spark SQL and Delta Lake to ingest, transform, and query data to extract valuable insights that can be shared with your team.
提供:

このコースについて
Familiarity with SQL
学習内容
Ingest, transform, and query data to extract valuable insights.
Leverage existing SQL skills to start working with Apache Spark.
習得するスキル
- Data Analysis
- Spark SQL
- SQL
Familiarity with SQL
提供:

データプリックス
Databricks is the data and AI company. Founded by the creators of Apache Spark™, Delta Lake and MLflow, organizations like Comcast, Condé Nast, Nationwide and H&M rely on Databricks’ open and unified platform to enable data engineers, scientists and analysts to collaborate and innovate faster.
シラバス - 本コースの学習内容
Welcome to Apache Spark SQL for Data Analysts
An introduction to this course including learning objectives, frequently asked questions, and a chance to get to know fellow classmates.
Spark makes big data easy
Using Spark SQL on Databricks
Spark Under the Hood
レビュー
- 5 stars65.98%
- 4 stars25.58%
- 3 stars5.81%
- 2 stars1.74%
- 1 star0.87%
APACHE SPARK (TM) SQL FOR DATA ANALYSTS からの人気レビュー
Content was amazing. Labs were really good. Videos from the lady talking the dense part need to improve. Audio from the lady had a messy stereo, also her pronunciation is not clear. Very bad quality
Many of the videos (all that introduced the notebooks) were not necessary and I stopped watching them. The course introduced me to some spark sql functions that I was unaware of.
More information about Spark on a practical basis could have been provided.
Good for new data analysts who recently started with Databricks and have some experience with SQL.
Data Science with Databricks for Data Analysts専門講座について
This specialization is intended for data analysts looking to expand their toolbox for working with data. Traditionally, data analysts have used tools like relational databases, CSV files, and SQL programming, among others, to perform their daily workflows. In this specialization, you will leverage existing skills to learn new ones that will allow you to utilize advanced technologies not traditionally linked to this role - technologies like Databricks and Apache Spark. By the end of this specialization, you'll be able to solve real-world business problems with Databricks and the most popular machine learning techniques.

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