コース概要
Introduction
Overview of Data Access Approaches (Hive, databases, etc.)
Overview of Spark Features and Architecture
Installing and Configuring Spark
Understanding Dataframes in Spark
Defining Tables and Importing Datasets
Querying Data Frames using SQL
Carrying out Aggregations, JOINs and Nested Queries
Uploading and Accessing Data
Querying Different Types of Data
- JSON, Parquet, etc.
Querying Data Lakes with SQL
Troubleshooting
Summary and Conclusion
要求
- Experience with SQL queries
- Programming experience in any language
Audience
- Data analysts
- Data scientists
- Data engineers
お客様の声 (8)
I liked that it was practical. Loved to apply the theoretical knowledge with practical examples.
Aurelia-Adriana - Allianz Services Romania
コース - Python and Spark for Big Data (PySpark)
This is one of the best hands-on with exercises programming courses I have ever taken.
Laura Kahn
コース - Artificial Intelligence - the most applied stuff - Data Analysis + Distributed AI + NLP
多くの実用的な例、同じ問題へのさまざまなアプローチ方法、そして現在のソリューションを改善するためのあまり知られていないトリックなど
Rafał - Nordea
コース - Apache Spark MLlib
Machine Translated
The VM I liked very much The Teacher was very knowledgeable regarding the topic as well as other topics, he was very nice and friendly I liked the facility in Dubai.
Safar Alqahtani - Elm Information Security
コース - Big Data Analytics in Health
Sufficient hands on, trainer is knowledgable
Chris Tan
コース - A Practical Introduction to Stream Processing
very interactive...
Richard Langford
コース - SMACK Stack for Data Science
二次的なトピックについて説明することに積極的かつ積極的であること。
Marek - Krajowy Rejestr Długów Biuro Informacji Gospodarczej S.A.
コース - Apache Spark Fundamentals
Machine Translated
Having hands on session / assignments