This course is all about big data. It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain a thorough understanding of this open-source standard for working with large datasets. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments. The four modules build on one another and by the end of the course you will understand: the Spark architecture, queries within Spark, common ways to optimize Spark SQL, and how to build reliable data pipelines.
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Learn SQL Basics for Data Science専門講座カリフォルニア大学デービス校（University of California, Davis）このコースについて
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100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の3コース
中級レベル
約14時間で修了
英語
字幕：英語, スペイン語
学習内容
Use the collaborative Databricks workspace to write scalable Spark SQL code that executes against a cluster of machines
Inspect the Spark UI to analyze query performance and identify bottlenecks
Create an end-to-end pipeline that reads data, transforms it, and saves the result
Build a medallion (bronze, silver, gold) lakehouse architecture with Delta Lake to ensure the reliability, scalability, and performance of your data
習得するスキル
- Data Science
- Apache Spark
- Delta Lake
- SQL
柔軟性のある期限
スケジュールに従って期限をリセットします。
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
次における4の3コース
中級レベル
約14時間で修了
英語
字幕：英語, スペイン語
提供：
カリフォルニア大学デービス校（University of California, Davis）
UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact.
シラバス - 本コースの学習内容
3時間で修了
Introduction to Spark
In this module, you will be able to discuss the core concepts of distributed computing and be able to recognize when and where to apply them. You'll be able to identify the basic data structure of Apache Spark™, known as a DataFrame. Additionally, you will use the collaborative Databricks workspace and write SQL code that executes against a cluster of machines.
3時間で修了
6件のビデオ （合計43分）, 3 学習用教材, 2 個のテスト
3時間で修了
Spark Core Concepts
In this module, you will be able to explain the core concepts of Spark. You will learn common ways to increase query performance by caching data and modifying Spark configurations. You will also use the Spark UI to analyze performance and identify bottlenecks, as well as optimize queries with Adaptive Query Execution.
3時間で修了
6件のビデオ （合計36分）, 2 学習用教材, 2 個のテスト
4時間で修了
Engineering Data Pipelines
In this module, you will be able to identify and discuss the general demands of data applications. You'll be able to access data in a variety of formats and compare and contrast the tradeoffs between these formats. You will explore and examine semi-structured JSON data (common in big data environments) as well as schemas and parallel data writes. You will be able to create an end-to-end pipeline that reads data, transforms it, and saves the result.
4時間で修了
7件のビデオ （合計62分）, 2 学習用教材, 2 個のテスト
4時間で修了
Data Lakes, Warehouses and Lakehouses
In this module, you will identify the key characteristics of data lakes, data warehouses, and lakehouses. Lakehouses combine the scalability and low-cost storage of data lakes with the speed and ACID transactional guarantees of data warehouses. You will build a production grade lakehouse by combining Spark with the open-source project, Delta Lake. Whoever said time travel isn't possible hasn't been to a lakehouse!
4時間で修了
8件のビデオ （合計52分）, 2 学習用教材, 3 個のテスト
レビュー
- 5 stars65.04%
- 4 stars23.94%
- 3 stars7.41%
- 2 stars1.48%
- 1 star2.11%
DISTRIBUTED COMPUTING WITH SPARK SQL からの人気レビュー
MSにより2020年11月13日
This was one of the best courses I've taken on Coursera. It represents a perfect blend of easy to understand Spark, Python and ML.
GTにより2020年6月9日
I highly recommend this course for anyone in the BI and Data space interested in learning Spark. The course gives an easy to understand to the framework and applicable hands on examples.
SJにより2020年8月19日
Great course to learn more in depth about Apache Spark. Good instructors and course content. Thanks UC Davis and Coursera!
Dにより2020年2月11日
This has been an amazing course. What is worth mentioning is how the content was delivered. Nice hands on. Highly recommended for anyone who is new to Spark
Learn SQL Basics for Data Science専門講座について
This Specialization is intended for a learner with no previous coding experience seeking to develop SQL query fluency. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. These topics will prepare you to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
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