Accessing Data with Spark Training
Accessing Data with Spark Training
Accessing Data with Spark Training Award-winning E-Learning course Extensive interactive videos with spoken text Certified teachers Practical exercises Certificate.
Read more- Brand:
- Apache Spark
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- Award Winning E-learning
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Accessing Data with Spark E-Learning
Order this amazing, award-winning Accessing Data with Spark Intermediate E-Learning course online, 1 year 24/7 access to extensive interactive videos, speeches, hands-on tasks and progress monitoring. After the course you will receive a certificate of attendance.
Explore Apache Spark, the open-source cluster computing framework that provides a fault-tolerant
programming interface for clusters.
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
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 3:14 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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