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 49 - 72 of 241

Category: Big Data

HANDS-ON LAB
Andrew Burchill
Using Regular Expressions Effectively in the Real World
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Andrew Burchill
Working with Special Characters and Anchors in Regular Expressions
Beginner
Duration: Up to 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups 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
Efficiently Storing Data in S3 for Data Analytics Solutions
Beginner
Duration: Up to 1 hour and 15 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to store data in Amazon S3 for use with Data Analytics services including Redshift and Athena. Learn how to structure analytic data to maximize performance and minimize costs.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Andrew Burchill
Sessionizing Clickstream Data with Amazon Kinesis and Managed Apache Flink
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: In this lab you will see how to use Kinesis Data Analytics to sessionize clickstream data, and, you will see how to send the output data from Kinesis Data Analytics to DynamoDB using a Lambda function.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Structure and Analyze Data with Google BigQuery
Beginner
Duration: Up to 45 minutes
Author: Stefano Cascavilla; Difficulty: Beginner; Description: This Lab will show you the basic concepts of BigQuery and will allow you to handle data and query them in a real GCP environment.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 6 Lab steps
HANDS-ON LAB
Logan Rakai
Analyzing IoT Data Using Azure Stream Analytics
Beginner
Duration: Up to 30 minutes
Author: Logan Rakai; Difficulty: Beginner; Description: Analyze Internet of Things (IoT) sensor data using Azure Stream Analytics to identify if there have been any IoT device failures in this Lab.; Duration: Up to 30 minutes; Content Topics: Internet of Things; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Greg DeRenne
Query Encrypted Amazon S3 Data with Amazon Athena
Beginner
Duration: Up to 1 hour and 20 minutes
Author: Greg DeRenne; Difficulty: Beginner; Description: Use Amazon Athena to query encrypted data on S3 and encrypt the query results in this hands-on real-environment lab.; Duration: Up to 1 hour and 20 minutes; Content Topics: Object Storage; This hands-on lab has: 7 Lab steps
COURSE
Kunal Haria
Introduction to Data
Beginner
Duration: 11 minutes and 10 seconds
Author: Kunal Haria; Difficulty: Beginner; Duration: 11 minutes and 10 seconds; Content Topics: Development; This course has: 4 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Working With Data: Gradient Descent
Beginner
Duration: 1 hour and 45 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 45 minutes; Content Topics: Microsoft Azure; This course has: 26 Units
COURSE
Daniel Mease
Building a Machine Learning Model
Intermediate
Duration: 56 minutes and 34 seconds
Author: Daniel Mease; Difficulty: Intermediate; Duration: 56 minutes and 34 seconds; Content Topics: Machine Learning; This course has: 11 Units
COURSE
Francesco Mosconi
Introduction to Deep Learning
Beginner
Duration: 1 hour and 13 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 13 minutes; Content Topics: Machine Learning; This course has: 16 Units
COURSE
Francesco Mosconi
Getting Started With Deep Learning: Working With Data
Beginner
Duration: 1 hour and 5 minutes
Author: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 5 minutes; Content Topics: Machine Learning; This course has: 18 Units
COURSE
Guy Hummel
Introduction to Azure Stream Analytics
Intermediate
Duration: 49 minutes and 50 seconds
Author: Guy Hummel; Difficulty: Intermediate; Duration: 49 minutes and 50 seconds; Content Topics: Microsoft Azure; This course has: 9 Units
COURSE
Thomas Mitchell
Designing Data Flows in Azure
Intermediate
Duration: 1 hour and 5 minutes
Author: Thomas Mitchell; Difficulty: Intermediate; Duration: 1 hour and 5 minutes; Content Topics: Big Data; This course has: 20 Units
COURSE
Hallam Webber
Optimizing a Power BI Data Model
Intermediate
Duration: 46 minutes and 49 seconds
Author: Hallam Webber; Difficulty: Intermediate; Duration: 46 minutes and 49 seconds; Content Topics: Microsoft Azure; This course has: 9 Units
COURSE
Guy Hummel
Introduction to Google Cloud Dataproc
Intermediate
Duration: 49 minutes and 26 seconds
Author: Guy Hummel; Difficulty: Intermediate; Duration: 49 minutes and 26 seconds; Content Topics: Google Cloud Platform; This course has: 8 Units
COURSE
Guy Hummel
Introduction to Google Cloud Bigtable
Intermediate
Duration: 48 minutes and 28 seconds
Author: Guy Hummel; Difficulty: Intermediate; Duration: 48 minutes and 28 seconds; Content Topics: Google Cloud Platform; This course has: 8 Units
COURSE
Moatasim Al Khatib
From Data to Insights With Power BI
Intermediate
Duration: 58 minutes and 50 seconds
Author: Moatasim Al Khatib; Difficulty: Intermediate; Duration: 58 minutes and 50 seconds; Content Topics: Microsoft Azure; This course has: 11 Units
COURSE
Andrew Larkin
AWS - Data Visualization
Intermediate
Duration: 25 minutes and 47 seconds
Author: Andrew Larkin; Difficulty: Intermediate; Duration: 25 minutes and 47 seconds; Content Topics: Analytics; This course has: 4 Units
COURSE
Jake Gardner
Creating Reports in Power BI
Intermediate
Duration: 47 minutes and 25 seconds
Author: Jake Gardner; Difficulty: Intermediate; Duration: 47 minutes and 25 seconds; Content Topics: Microsoft Azure; This course has: 8 Units
COURSE
Steven Wise
Creating and Managing Power BI Workspaces
Intermediate
Duration: 45 minutes
Author: Steven Wise; Difficulty: Intermediate; Duration: 45 minutes; Content Topics: Microsoft Azure; This course has: 18 Units
COURSE
Bianca Burger
Loading Data into Power BI
Intermediate
Duration: 40 minutes and 16 seconds
Author: Bianca Burger; Difficulty: Intermediate; Duration: 40 minutes and 16 seconds; Content Topics: Microsoft Azure; This course has: 14 Units
COURSE
Hallam Webber
Assessing Data Characteristics for Power BI
Beginner
Duration: 19 minutes and 31 seconds
Author: Hallam Webber; Difficulty: Beginner; Duration: 19 minutes and 31 seconds; Content Topics: Microsoft Azure; This course has: 4 Units
COURSE
Guy Hummel
Handling Slowly Changing Dimensions With Azure Synapse Analytics Pipelines
Advanced
Duration: 29 minutes and 48 seconds
Author: Guy Hummel; Difficulty: Advanced; Duration: 29 minutes and 48 seconds; Content Topics: Microsoft Azure; This course has: 6 Units