Search result for Querying with spark sql Online Courses & Certifications
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Big Data Integration and Processing
by Ilkay Altintas , Amarnath Gupta- 4.4
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Approx. 18 hours to complete
Querying Two Relations Querying Relational Data with Postgres Querying Relational Data with Postgres Querying JSON Data with MongoDB Getting Started with Spark Spark SQL Analyzing Sensor Data with Spark Streaming Analyzing Sensor Data with Spark Streaming More on Spark SparkSQL and Spark Streaming Learn By Doing: Putting MongoDB and Spark to Work...
Apache Spark (TM) SQL for Data Analysts
by Kate Sullivan- 4.6
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Approx. 14 hours to complete
In this course, you will learn how to leverage your existing SQL skills to start working with Spark immediately. 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. Basic queries with Spark SQL reading introduction...
Big Data Analysis: Hive, Spark SQL, DataFrames and GraphFrames
by Alexey A. Dral , Pavel Klemenkov , Natalia Pritykovskaya , Pavel Mezentsev- 4
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Approx. 37 hours to complete
- Warehouse your data efficiently using Hive, Spark SQL and Spark DataFframes. - Writing and executing Hive & Spark SQL queries; - Constructing Spark DataFrames and using them to write ad-hoc analytical jobs easily; - Processing large graphs with Spark GraphFrames; Spark SQL and Spark Dataframe Advantages of Spark SQL Spark SQL and Spark Dataframe Spark SQL and Catalyst...
Introduction to Clinical Data Science
by Laura K. Wiley, PhD- 4.6
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Approx. 8 hours to complete
You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. Querying Tables with SQL Joining Tables with SQL Aggregating Data with SQL Querying and Aggregating Individual Tables with Google BigQuery Querying and Joining Multiple Tables with Google BigQuery Joining Tables with SQL...
Distributed Computing with Spark SQL
by Brooke Wenig , Conor Murphy- 4.5
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Approx. 14 hours to complete
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 build production grade data pipelines by combining Spark with the open-source project Delta Lake. Assignment #1 - Queries in Spark SQL Assignment #1 Quiz - Queries in Spark SQL...
CCA175 Spark & Hadoop Developer Exam Practice Sets
by Samir Pal- 0.0
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Note: This course is personally designed from my own experience and has no affiliation with any person or organization. To practice this sets all you need is Cloudera Quick Start VM with Spark 2. Use Spark SQL to interact with the metastore programmatically. Understand the fundamentals of querying datasets in Spark...
$12.99
Big Data Analysis with Scala and Spark
by Prof. Heather Miller- 4.7
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Approx. 28 hours to complete
In this course, we'll see how the data parallel paradigm can be extended to the distributed case, using Spark throughout. - manipulate data with Spark and Scala, Proficiency with Java or C# is ideal, but experience with other languages such as C/C++, Python, Javascript or Ruby is also sufficient. Getting Started + Spark Basics Spark SQL...
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Learning PySpark
by Packt Publishing- 3.5
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2.5 hours on-demand video
Building and deploying data-intensive applications at scale using Python and Apache Spark Apache Spark is an open-source distributed engine for querying and processing data. Finally, we show you how to use SQL to interact with DataFrames. Tomasz started his career in 2003 with LOT Polish Airlines in Warsaw, Poland while finishing his Master's degree in strategy management....
$12.99
Data Lake in AWS [New]
by Chandra Lingam- 4.4
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3.5 hours on-demand video
Hands on serverless integration experience with Glue, Athena, S3, Kinesis Firehose, Lambda, Comprehend AI To demonstrate the scalability of Athena, we will query the Amazon Customer Reviews data set with over 130 million reviews....
$14.99
Scalable Machine Learning on Big Data using Apache Spark
by Romeo Kienzler- 3.8
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Approx. 7 hours to complete
Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer. - (Optional) run SQL statements on very large data sets using Apache SparkSQL and the Apache Spark DataFrame API. - basic SQL skills for optional content Introduction to Apache Spark for Machine Learning on BigData...
