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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73 to 96 of 200 results
Search results 73 - 96 of 200Category: Big Data
- COURSECalculated Systems
Common Machine Learning Models & How to Train ThemIntermediateDuration: 55 minutes and 12 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 55 minutes and 12 seconds; Content Topics: Big Data, Machine Learning; This course has: 9 Units - COURSEWill Meadows
Security Best Practices when Working with AWS DatabasesIntermediateDuration: 14 minutes and 36 secondsAuthor: Will Meadows; Difficulty: Intermediate; Duration: 14 minutes and 36 seconds; Content Topics: Amazon Web Services; This course has: 3 Units - COURSEStuart Scott
Data Visualization: How to Convey your DataBeginnerDuration: 32 minutes and 16 secondsAuthor: Stuart Scott; Difficulty: Beginner; Duration: 32 minutes and 16 seconds; Content Topics: Big Data; This course has: 7 Units - COURSEStuart ScottBackup and Restore Capabilities of Amazon RDS & Amazon DynamoDBIntermediateDuration: 39 minutes and 5 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 39 minutes and 5 seconds; Content Topics: Amazon Web Services; This course has: 7 Units
- COURSEHallam Webber
Implementing High Availability and Disaster Recovery for Azure SQL DatabasesAdvancedDuration: 1 hour and 6 minutesAuthor: Hallam Webber; Difficulty: Advanced; Duration: 1 hour and 6 minutes; Content Topics: Microsoft Azure; This course has: 9 Units - COURSECalculated SystemsMoving Beyond SpreadsheetsIntermediateDuration: 42 minutes and 22 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 42 minutes and 22 seconds; Content Topics: Databases; This course has: 16 Units
- COURSEStephen Cole
Understanding Amazon RDS Performance InsightsIntermediateDuration: 43 minutes and 8 secondsAuthor: Stephen Cole; Difficulty: Intermediate; Duration: 43 minutes and 8 seconds; Content Topics: Amazon Web Services; This course has: 8 Units - LEARNING PATHAndrea Giussani
Working with Python Visualization ToolsIntermediateDuration: Up to 6 hours and 28 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Description: A deep dive into the visualization tools and libraries available in Python.; Duration: Up to 6 hours and 28 minutes; Content Topics: Analytics, Development; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs - HANDS-ON LABGreg DeRenne
Getting Started with Amazon Elastic MapReduceIntermediateDuration: Up to 1 hour and 45 minutesAuthor: 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 LABStefano Cascavilla
Starting a Highly Available Graph Database With Amazon NeptuneIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 LABAndrew Burchill
Aggregating Data with Amazon Managed Streaming for Apache Kafka (MSK)BeginnerDuration: Up to 2 hoursAuthor: 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 LABAndrew BurchillConstructing Regular Expression Character ClassesBeginnerDuration: Up to 30 minutesAuthor: 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 LABAndrew BurchillCollecting Log Data with Kinesis Agent and Querying with Amazon AthenaBeginnerDuration: Up to 1 hour and 30 minutesAuthor: 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 LABStefano CascavillaRun SQL Queries and Analyze Data with Google Cloud SQLIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 LABAndrew BurchillImplementing a Searchable Amazon S3 Data LakeBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Glue with AWS Lambda and Amazon S3 to create an efficient searchable data lake in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
- HANDS-ON LABAndrew BurchillConfiguring Distribution Styles and Table Access in Amazon RedshiftBeginnerDuration: Up to 1 hourAuthor: 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
- HANDS-ON LABLogan Rakai
Comparing Google Cloud Big Data ServicesIntermediateDuration: Up to 45 minutesAuthor: 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 LABAdil Islam
Power BI Desktop PlaygroundBeginnerDuration: Up to 4 hoursAuthor: 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 - COURSEKunal Haria
Operators in RIntermediateDuration: 24 minutes and 24 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 24 minutes and 24 seconds; Content Topics: Machine Learning; This course has: 4 Units - COURSEKunal HariaBeginner Data Structures in RIntermediateDuration: 37 minutes and 39 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 37 minutes and 39 seconds; Content Topics: Machine Learning; This course has: 9 Units
- COURSEKunal HariaInteracting with RIntermediateDuration: 20 minutes and 52 secondsAuthor: Kunal Haria; Difficulty: Intermediate; Duration: 20 minutes and 52 seconds; Content Topics: Development; This course has: 7 Units
- COURSEFrancesco Mosconi
Getting Started With Deep Learning: Improving PerformanceBeginnerDuration: 1 hour and 2 minutesAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 2 minutes; Content Topics: Machine Learning; This course has: 17 Units - COURSEFrancesco MosconiGetting Started With Deep Learning: Recurrent Neural NetworksBeginnerDuration: 45 minutes and 15 secondsAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 45 minutes and 15 seconds; Content Topics: Machine Learning; This course has: 12 Units
- COURSEFrancesco MosconiGetting Started With Deep Learning: Convolutional Neural NetworksBeginnerDuration: 1 hour and 19 minutesAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 1 hour and 19 minutes; Content Topics: Machine Learning; This course has: 22 Units