Accessing Data with Spark E-Learning
Order this amazing, award-winning Accessing Data with Spark E-Learning course online!
✔️ 1 year 24/7 access to extensive interactive videos, speeches, practical tasks and progress monitoring.
✔️ After the course you will receive a certificate of participation to officially recognize your new skills.
Why choose this course?
Spark is a powerful, open-source framework used for processing large amounts of data. The ability to access, process and analyze data efficiently is essential in the world of big data and data science. This course gives you the opportunity to learn the core principles of working with Spark and how to access data effectively using Spark's powerful tools.
What you will learn:
- Apache Spark Basics: Understand Spark's data processing model and how to process data efficiently.
- Data Processing with Spark SQL: Learn how to process and analyze structured data using Spark SQL.
- Reading and writing data: Learn how to read data from different sources, such as HDFS, S3, and local file services, and write it to multiple storage locations.
- Advanced Spark features: Learn to work with RDDs, DataFrames, and Datasets to perform operations on large amounts of data.
- Integrating Spark with other technologies: Understand how to integrate Spark with tools like Hadoop and Hive to build a complete data analytics chain.
Who should participate?
This course is ideal for:
- Data scientists and analysts who want to use Spark to process and analyze data quickly and efficiently.
- Software developers who want to learn how to integrate Spark into their applications to process large amounts of data.
- Big Data specialists who want to expand their data processing skills by using Spark.
- Business owners and managers who want to understand the benefits of Spark and leverage its potential for their business.
- Cloud architects who want to learn how to implement Spark in a cloud data analytics environment.
Course content
Accessing Data with Spark: An Introduction to Spark
Course: 1 Hour, 7 Minutes
- Course Overview
- Introduction to Spark and Hadoop
- Resilient Distributed Datasets (RDDs)
- RDD Operations
- Spark DataFrames
- Spark Architecture
- Spark Installation
- Working with RDDs
- Creating DataFrames from RDDs
- Contents of a DataFrame
- The SQLContext
- The map() Function of an RDD
- Accessing the Contents of a DataFrame
- DataFrames in Spark and Pandas
- Exercise: Working with Spark
Accessing Data with Spark: Data Analysis Using the Spark DataFrame API
Course: 1 Hour, 12 Minutes
- Course Overview
- Performance Improvements in Spark
- Broadcast Variables and Accumulators
- Loading Data into a DataFrame
- Sampling the Contents of a DataFrame
- Grouping and Aggregations
- Visualizing Data in a DataFrame
- Trimming and Cleaning Data
- User-Defined Functions and DataFrames
- Combining Filters, Aggregations, and Sorting
- Using Broadcast Variables
- Using Accumulators
- Exporting DataFrame Contents
- Custom Accumulators
- Join Operations
- Exercise: Data Analysis Using the DataFrame API
Accessing Data with Spark: Data Analysis using Spark SQL
Course: 55 Minutes
- Course Overview
- The Spark Catalyst Optimizer
- Introduction to Spark SQL
- Preparing Data for Analysis
- Running SQL Queries
- Inferred and Explicit Schemas
- Windowing in Spark
- Applying Window Functions
- Exercise: Data Analysis Using Spark SQL
Get started with Accessing Data with Spark!
✔️ Learn at your own pace with interactive videos and practical tasks that help you develop your skills in working with Spark.
✔️ Get instant feedback with progress reports and tests so you can test and improve your knowledge.
✔️ Receive a certificate of participation to officially recognize your new Spark skills.
Order your course now and discover the power of Spark in data analysis!
