Big Data Training Library

Learn to architect for scale, get hands-on with the leading big data tools, and reveal meaningful insights from data using services on Amazon Web Services, Microsoft Azure, and Google Cloud Platform. Content added and updated weekly.

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Search results 97 - 120 of 241

Category: Big Data

HANDS-ON LAB
Greg DeRenne
Getting Started with Amazon Elastic MapReduce
Intermediate
Duration: Up to 1 hour and 45 minutes
Author: Greg DeRenne; Difficulty: Intermediate; Description: Learn how to create an Amazon EMR (Elastic MapReduce) cluster and submit work to a cluster in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: Analytics, Storage; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Starting a Highly Available Graph Database With Amazon Neptune
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create a DB subnet group, a Neptune Database, and you will perform some SPARQL commands.; Duration: Up to 1 hour and 15 minutes; Content Topics: Databases; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Andrew Burchill
Aggregating Data with Amazon Managed Streaming for Apache Kafka (MSK)
Beginner
Duration: Up to 2 hours
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to aggregate data using Amazon Managed Streaming for Apache Kafka in this Hands-On lab.; Duration: Up to 2 hours; Content Topics: Analytics; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Andrew Burchill
Constructing Regular Expression Character Classes
Beginner
Duration: Up to 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Collecting Log Data with Kinesis Agent and Querying with Amazon Athena
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Kinesis Agent application to collect log files and learn how to use AWS Glue and Amazon Athena to query the log data.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Run SQL Queries and Analyze Data with Google Cloud SQL
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create two tables in a SQL PostgreSQL database, perform operations on them, monitor the resources usage and test that the atomicity property is respected by the database.; Duration: Up to 1 hour and 15 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Logan Rakai
Comparing Google Cloud Big Data Services
Intermediate
Duration: Up to 45 minutes
Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will be uploading data to BigQuery directly and using other big data GCP Services like Dataproc and Dataflow.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Adil Islam
Power BI Desktop Playground
Beginner
Duration: Up to 4 hours
Author: Adil Islam; Difficulty: Beginner; Description: In this hands-on lab playground, you'll have the opportunity to play around with the PowerBI Desktop application and build queries, data models, and visualize data using reports.; Duration: Up to 4 hours; Content Topics: Microsoft Azure; This hands-on lab has: 1 Lab step
COURSE
Kunal Haria
Operators in R
Intermediate
Duration: 24 minutes and 24 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 24 minutes and 24 seconds; Content Topics: Machine Learning; This course has: 4 Units
COURSE
Kunal Haria
Beginner Data Structures in R
Intermediate
Duration: 37 minutes and 39 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 37 minutes and 39 seconds; Content Topics: Machine Learning; This course has: 9 Units
COURSE
Kunal Haria
Interacting with R
Intermediate
Duration: 20 minutes and 52 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 20 minutes and 52 seconds; Content Topics: Development; This course has: 7 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Improving Performance
Beginner
Duration: 1 hour and 2 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 2 minutes; Content Topics: Machine Learning; This course has: 17 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Recurrent Neural Networks
Beginner
Duration: 45 minutes and 15 seconds
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 45 minutes and 15 seconds; Content Topics: Machine Learning; This course has: 12 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Convolutional Neural Networks
Beginner
Duration: 1 hour and 19 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 19 minutes; Content Topics: Machine Learning; This course has: 22 Units
COURSE
Francesco Mosconi
Getting Started with Deep Learning: Introduction To Machine Learning
Beginner
Duration: 2 hours and 4 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 2 hours and 4 minutes; Content Topics: Machine Learning; This course has: 22 Units
COURSE
Jeremy Cook
Introduction to Snowflake
Beginner
Duration: 1 hour and 33 minutes
Author: Jeremy Cook; Difficulty: Beginner; Duration: 1 hour and 33 minutes; Content Topics: Big Data; This course has: 13 Units
COURSE
Hallam Webber
Managing Power BI Datasets
Intermediate
Duration: 38 minutes and 35 seconds
Author: Hallam Webber; Difficulty: Intermediate; Duration: 38 minutes and 35 seconds; Content Topics: Microsoft Azure; This course has: 7 Units
COURSE
Hallam Webber
Developing a Power BI Data Model
Intermediate
Duration: 42 minutes and 39 seconds
Author: Hallam Webber; Difficulty: Intermediate; Duration: 42 minutes and 39 seconds; Content Topics: Microsoft Azure; This course has: 10 Units
COURSE
Thomas Mitchell
Data Governance in Microsoft 365
Intermediate
Duration: 25 minutes and 28 seconds
Author: Thomas Mitchell; Difficulty: Intermediate; Duration: 25 minutes and 28 seconds; Content Topics: Microsoft 365; This course has: 8 Units
LEARNING PATH
QA
Practical Machine Learning
Intermediate
Duration: Up to 19 hours and 1 minute
Author: QA; Difficulty: Intermediate; Description: Practical Machine Learning; Duration: Up to 19 hours and 1 minute; Content Topics: Amazon Web Services, Microsoft Azure; This learning path has: 11 Courses, 6 Exams, 2 Hands-on labs
LAB CHALLENGE
Andrew Burchill
AWS Database Migration Service (DMS) Challenge
Beginner
Duration: Up to 1 hour and 10 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: In this lab challenge, your database skills are tested as you are tasked to migrate data between two real RDS instances using AWS Database Migration Service.; Duration: Up to 1 hour and 10 minutes; Content Topics: Migration, Databases; This lab challenge has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Configuring Distribution Styles and Table Access in Amazon Redshift
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create tables, set distribution styles, and configure fine-grained access on an Amazon Redshift cluster in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
COURSE
Kunal Haria
Plotting in R
Beginner
Duration: 28 minutes and 34 seconds
Author: Kunal Haria; Difficulty: Beginner; Duration: 28 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 3 Units
COURSE
Kunal Haria
Advanced Data Structures in R
Intermediate
Duration: 35 minutes and 30 seconds
Author: Kunal Haria; Difficulty: Intermediate; Duration: 35 minutes and 30 seconds; Content Topics: Development; This course has: 5 Units