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.
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課程信息
Familiarity with SQL
您將學到的內容有
Ingest, transform, and query data to extract valuable insights.
Leverage existing SQL skills to start working with Apache Spark.
您將獲得的技能
- Data Analysis
- Spark SQL
- SQL
Familiarity with SQL
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数据块
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.
授課大綱 - 您將從這門課程中學到什麼
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
審閱
- 5 stars65.91%
- 4 stars25.91%
- 3 stars5.63%
- 2 stars1.69%
- 1 star0.84%
來自APACHE SPARK (TM) SQL FOR DATA ANALYSTS的熱門評論
Nice work but the exam is not real test to the materials , and it is not difficult but I would say strange and difficult to read
it was amazing to be familiar with Apache Spark SQL thank you for this great course
More information about Spark on a practical basis could have been provided.
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
關於 Data Science with Databricks for Data Analysts 專項課程
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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