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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- LEARNING PATHAndrew LarkinLearn SQL - From Newbie to NinjaBeginnerDuration: Up to 14 hours and 47 minutesAuthor: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs
- LEARNING PATHDanny JesseeAWS Certified Data Engineer - Associate (DEA-C01) Certification Preparation for AWSIntermediateDuration: Up to 54 hours and 21 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the new AWS Certified Data Engineer - Associate Certification (DEA-C01).; Duration: Up to 54 hours and 21 minutes; Content Topics: Serverless, Big Data, App Streaming, SQL; This learning path has: 11 Courses, 1 Lab challenge, 1 Exam, 20 Hands-on labs
- LEARNING PATHGuy HummelDP-203 Exam Preparation: Data Engineering on Microsoft AzureIntermediateDuration: Up to 21 hours and 41 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-203 Data Engineering on Microsoft Azure exam.; Duration: Up to 21 hours and 41 minutes; Content Topics: Big Data, Machine Learning, SQL; This learning path has: 16 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 8 Hands-on labs
- LEARNING PATHCalculated SystemsThe Beginners Guide to Machine Learning and Artificial IntelligenceBeginnerDuration: Up to 4 hours and 45 minutesAuthor: Calculated Systems; Difficulty: Beginner; Description: This course is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.; Duration: Up to 4 hours and 45 minutes; Content Topics: NoSQL, Machine Learning; This learning path has: 2 Courses, 2 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 PATHGuy HummelGoogle Professional Data Engineer Exam PreparationIntermediateDuration: Up to 27 hours and 48 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: Designed to help you prepare for the Google Certified Professional Data Engineer Exam, this training will help you gain a solid understanding of GCP components.; Duration: Up to 27 hours and 48 minutes; Content Topics: NoSQL, Big Data, SQL, Machine Learning; This learning path has: 24 Courses, 1 Resource, 5 Exams, 8 Hands-on labs
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Search results 1 - 24 of 245Category: Big Data
- COURSEGuy HummelDesigning an Azure Data ImplementationIntermediateDuration: 48 minutes and 11 secondsAuthor: Guy Hummel; Difficulty: Intermediate; Duration: 48 minutes and 11 seconds; Content Topics: NoSQL, Big Data; This course has: 7 Lectures
- COURSEStuart ScottDatabase Fundamentals for AWS - Part 1 of 2BeginnerDuration: 1 hour and 8 minutesAuthor: Stuart Scott; Difficulty: Beginner; Duration: 1 hour and 8 minutes; Content Topics: NoSQL, SQL; This course has: 9 Lectures
- COURSEStuart ScottUPDATEDDatabase Fundamentals for AWS - Part 2 of 2BeginnerDuration: 1 hour and 2 minutesAuthor: Stuart Scott; Type: updated course; Difficulty: Beginner; Duration: 1 hour and 2 minutes; Content Topics: Big Data; This course has: 10 Lectures
- LEARNING PATHGuy HummelGoogle Professional Data Engineer Exam PreparationIntermediateDuration: Up to 27 hours and 48 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: Designed to help you prepare for the Google Certified Professional Data Engineer Exam, this training will help you gain a solid understanding of GCP components.; Duration: Up to 27 hours and 48 minutes; Content Topics: NoSQL, Big Data, SQL, Machine Learning; This learning path has: 24 Courses, 1 Resource, 5 Exams, 8 Hands-on labs
- LEARNING PATHGuy HummelGoogle Professional Cloud Architect Exam PreparationIntermediateDuration: Up to 29 hours and 5 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Certified Professional Cloud Architect Exam. Start learning now!; Duration: Up to 29 hours and 5 minutes; Content Topics: Google Cloud Platform; This learning path has: 1 Resource, 25 Courses, 2 Lab challenges, 2 Exams, 11 Hands-on labs
- LEARNING PATHGuy HummelDP-203 Exam Preparation: Data Engineering on Microsoft AzureIntermediateDuration: Up to 21 hours and 41 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-203 Data Engineering on Microsoft Azure exam.; Duration: Up to 21 hours and 41 minutes; Content Topics: Big Data, Machine Learning, SQL; This learning path has: 16 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 8 Hands-on labs
- HANDS-ON LABAndrew BurchillGetting Started with Amazon RedshiftBeginnerDuration: Up to 1 hour and 45 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.; Duration: Up to 1 hour and 45 minutes; Content Topics: Big Data; This hands-on lab has: 8 Lab steps
- COURSEGuy HummelUsing Azure Data Lake Storage Gen2AdvancedDuration: 38 minutes and 32 secondsAuthor: Guy Hummel; Difficulty: Advanced; Duration: 38 minutes and 32 seconds; Content Topics: Big Data, Machine Learning; This course has: 9 Lectures
- COURSEFrancesco MosconiIntroduction to Data and Machine LearningBeginnerDuration: 36 minutes and 43 secondsAuthor: Francesco Mosconi; Difficulty: Beginner; Duration: 36 minutes and 43 seconds; Content Topics: Machine Learning; This course has: 7 Lectures
- COURSEGuy HummelIntroduction to Google BigQueryBeginnerDuration: 29 minutes and 9 secondsAuthor: Guy Hummel; Difficulty: Beginner; Duration: 29 minutes and 9 seconds; Content Topics: NoSQL, Big Data; This course has: 7 Lectures
- COURSEChelsea DohemannIntroduction to Power BIBeginnerDuration: 40 minutes and 43 secondsAuthor: Chelsea Dohemann; Difficulty: Beginner; Duration: 40 minutes and 43 seconds; Content Topics: Big Data; This course has: 17 Lectures
- COURSEGuy HummelIntroduction to Azure Synapse AnalyticsIntermediateDuration: 28 minutes and 2 secondsAuthor: Guy Hummel; Difficulty: Intermediate; Duration: 28 minutes and 2 seconds; Content Topics: SQL, Big Data; This course has: 7 Lectures
- COURSEHallam WebberImplementing Azure SQL DatabasesIntermediateDuration: 1 hour and 19 minutesAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 1 hour and 19 minutes; Content Topics: SQL; This course has: 15 Lectures
- COURSEStuart ScottData Analytic ConceptsBeginnerDuration: 12 minutes and 3 secondsAuthor: Stuart Scott; Difficulty: Beginner; Duration: 12 minutes and 3 seconds; Content Topics: Big Data; This course has: 6 Lectures
- COURSEStephen ColeOverview of Differences Between AWS Database TypesBeginnerDuration: 1 hour and 1 minuteAuthor: Stephen Cole; Difficulty: Beginner; Duration: 1 hour and 1 minute; Content Topics: NoSQL; This course has: 7 Lectures
- COURSECalculated SystemsIntroduction to Machine Learning - Part OneBeginnerDuration: 28 minutes and 33 secondsAuthor: Calculated Systems; Difficulty: Beginner; Duration: 28 minutes and 33 seconds; Content Topics: Machine Learning; This course has: 5 Lectures
- LEARNING PATHAndrew LarkinLearn SQL - From Newbie to NinjaBeginnerDuration: Up to 14 hours and 47 minutesAuthor: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs
- COURSEStephen ColeOverview of Amazon KinesisBeginnerDuration: 15 minutes and 18 secondsAuthor: Stephen Cole; Difficulty: Beginner; Duration: 15 minutes and 18 seconds; Content Topics: App Streaming; This course has: 2 Lectures
- LEARNING PATHAndrew LarkinGetting Started With Amazon KinesisBeginnerDuration: Up to 6 hours and 17 minutesAuthor: Andrew Larkin; Difficulty: Beginner; Description: Get started using Amazon Kinesis to create solutions and solve business problems.; Duration: Up to 6 hours and 17 minutes; Content Topics: App Streaming; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs
- LEARNING PATHGuy HummelGoogle BigQueryIntermediateDuration: Up to 3 hours and 51 minutesAuthor: Guy Hummel; Difficulty: Intermediate; Description: Learn how to load, query, and secure your data in Google BigQuery, Google's lightning-fast data warehouse in the cloud.; Duration: Up to 3 hours and 51 minutes; Content Topics: NoSQL, Big Data; This learning path has: 5 Courses, 1 Exam, 1 Hands-on lab
- LEARNING PATHAndrea GiussaniWorking 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
- 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