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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25 to 48 of 240 results
Search results 25 - 48 of 240Category: Big Data
- LEARNING PATHGuy HummelBig Data Analytics on AzureIntermediateDuration: Up to 9 hours and 56 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: Follow hands-on examples to import data, run queries, and output the results using Azure Databricks, Azure Data Lake Storage Gen2, and Azure Stream Analytics.; Duration: Up to 9 hours and 56 minutes; Content Topics: Big Data; This learning path has: 7 Courses, 1 Exam, 5 Hands-on labs
- LEARNING PATHCalculated SystemsWrestling with DataIntermediateDuration: Up to 7 hours and 17 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Dive into the various tools and techniques available for manipulating information and data sources.; Duration: Up to 7 hours and 17 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 6 Hands-on labs
- LEARNING PATHKunal HariaFundamentals of RIntermediateDuration: Up to 14 hours and 19 minutesAuthor: Kunal Haria; Difficulty: Intermediate; Description: Fundamentals of R; Duration: Up to 14 hours and 19 minutes; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Resource, 3 Exams, 1 Hands-on lab
- COURSEHallam WebberAdvanced Analysis with Power BIIntermediateDuration: 1 hour and 4 minutesAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 4 minutes; Content Topics: Microsoft Azure; This course has: 10 Lectures
- COURSEJake GardnerCreating Dashboards in Power BIIntermediateDuration: 13 minutes and 16 secondsAuthor: Jake Gardner; Difficulty: Intermediate; Duration: 13 minutes and 16 seconds; Content Topics: Big Data; This course has: 4 Lectures
- COURSEStephen ColeAmazon Redshift Distribution StylesIntermediateDuration: 16 minutes and 28 secondsAuthor: Stephen Cole; Difficulty: Intermediate; Duration: 16 minutes and 28 seconds; Content Topics: Big Data; This course has: 6 Lectures
- COURSEGuy HummelIntroduction to Delta Lake on Azure DatabricksIntermediateDuration: 13 minutes and 6 secondsAuthor: Guy Hummel; Difficulty: Intermediate; Duration: 13 minutes and 6 seconds; Content Topics: Big Data, Machine Learning; This course has: 5 Lectures
- COURSEStephen ColeAmazon Redshift Concurrency ScalingIntermediateDuration: 10 minutes and 33 secondsAuthor: Stephen Cole; Difficulty: Intermediate; Duration: 10 minutes and 33 seconds; Content Topics: Big Data; This course has: 1 Lecture
- COURSEChelsea DohemannDesigning a Data Model in Power BIIntermediateDuration: 42 minutes and 58 secondsAuthor: Chelsea Dohemann; Difficulty: Intermediate; Duration: 42 minutes and 58 seconds; Content Topics: Data Engineering, Big Data; This course has: 11 Lectures
- COURSEStuart ScottUnderstanding AWS Database Authentication & Access ControlsIntermediateDuration: 23 minutes and 30 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 23 minutes and 30 seconds; Content Topics: NoSQL, Identity and Access Management, SQL; This course has: 6 Lectures
- COURSEStuart ScottAmazon S3: Data Replication and Bucket Key EncryptionIntermediateDuration: 1 minute and 54 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 1 minute and 54 seconds; Content Topics: Storage; This course has: 3 Lectures
- COURSEHallam WebberAzure SQL and SQL Server Query Performance TuningIntermediateDuration: 1 hour and 26 minutesAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 26 minutes; Content Topics: SQL; This course has: 12 Lectures
- COURSEHallam WebberAzure SQL and SQL Server Database Task AutomationIntermediateDuration: 1 hour and 1 minuteAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 1 minute; Content Topics: Microsoft Azure; This course has: 22 Lectures
- LEARNING PATHStuart ScottWorking with AWS DatabasesIntermediateDuration: Up to 21 hours and 26 minutesAuthor: Stuart Scott; Difficulty: Intermediate; Description: This course will help you understand the different AWS database services and features and how to manage them within your environment.; Duration: Up to 21 hours and 26 minutes; Content Topics: Amazon Web Services; This learning path has: 21 Courses, 2 Lab challenges, 3 Exams, 8 Hands-on labs
- LEARNING PATHAndrew LarkinWorking With SQL — Beyond the BasicsIntermediateDuration: Up to 5 hours and 13 minutesAuthor: Andrew Larkin; Difficulty: Intermediate; Description: Practice using SQL to load and manipulate data with this course!; Duration: Up to 5 hours and 13 minutes; Content Topics: SQL; This learning path has: 3 Courses, 1 Lab challenge, 3 Exams, 1 Hands-on lab
- LEARNING PATHCalculated SystemsThe Basics of Data Management, Data Manipulation and Data ModellingBeginnerDuration: Up to 12 hours and 2 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs
- LEARNING PATHCalculated SystemsIntroduction to Databases - Moving from SpreadsheetsBeginnerDuration: Up to 3 hours and 22 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This course gives you a solid understanding of the pros and cons of spreadsheets vs. databases and when to choose one over the other.; Duration: Up to 3 hours and 22 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Course, 1 Exam, 2 Hands-on labs
- LEARNING PATHDanny JesseeAWS Certified Data Engineer - Associate (DEA-C01) Certification Preparation for AWSIntermediateDuration: Up to 52 hours and 45 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 52 hours and 45 minutes; Content Topics: Serverless, Big Data, App Streaming, SQL; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs
- HANDS-ON LABParveen SinghUsing Azure Synapse Analytics to Query Data LakeIntermediateDuration: Up to 1 hour and 45 minutesAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to deploy and use Azure Synapse Analytics to query data stored in a data lake through T-SQL statements using a serverless SQL pool in this hands-on lab.; Duration: Up to 1 hour and 45 minutes; Content Topics: SQL, Big Data; This hands-on lab has: 7 Lab steps
- HANDS-ON LABLogan RakaiUsing Azure Data Factory Pipelines to Copy DataIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Learn how to build and trigger data pipelines in Azure Data Factory in this lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Big Data; This hands-on lab has: 9 Lab steps
- LAB CHALLENGEAndrew BurchillCreate Amazon RDS Database Instance ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon RDS skills to the test in this hands-on challenge lab as you are tasked with creating a database.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps
- HANDS-ON LABAndrew BurchillUsing Regular Expressions Effectively in the Real WorldBeginnerDuration: Up to 1 hourAuthor: 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 LABAndrew BurchillWorking with Special Characters and Anchors in Regular ExpressionsBeginnerDuration: Up to 30 minutesAuthor: 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 LABAndrew BurchillEfficiently Storing Data in S3 for Data Analytics SolutionsBeginnerDuration: Up to 1 hour and 15 minutesAuthor: 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: Big Data; This hands-on lab has: 7 Lab steps