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Search results 217 - 240 of 438Category: Data
- COURSEAndrea GiussaniAdvanced Pandas for Data AnalyticsAdvancedDuration: 41 minutes and 6 secondsAuthor: Andrea Giussani; Difficulty: Advanced; Duration: 41 minutes and 6 seconds; Content Topics: Analytics, Development; This course has: 5 Lectures
- COURSEHallam WebberAzure Database Authentication and AccessIntermediateDuration: 44 minutes and 13 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 44 minutes and 13 seconds; Content Topics: SQL, Identity and Access Management; This course has: 13 Lectures
- COURSEHallam WebberImplementing Azure SQL Data SecurityIntermediateDuration: 47 minutes and 34 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 47 minutes and 34 seconds; Content Topics: SQL; This course has: 10 Lectures
- COURSEAndrea GiussaniData Visualization with Python using MatplotlibIntermediateDuration: 1 hour and 21 minutesAuthor: Andrea Giussani; Difficulty: Intermediate; Duration: 1 hour and 21 minutes; Content Topics: Data Engineering, Data Transformation; This course has: 8 Lectures
- COURSECalculated SystemsWrestling with DataIntermediateDuration: 30 minutes and 13 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 30 minutes and 13 seconds; Content Topics: Data Engineering, SQL, Data Transformation; This course has: 4 Lectures
- LEARNING PATHAndrew LarkinStart Modelling Data with Amazon SageMakerIntermediateDuration: Up to 5 hours and 59 minutesAuthor: Andrew Larkin; Difficulty: Intermediate; Description: Start manipulating and modelling data with Amazon SageMaker; Duration: Up to 5 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs
- LEARNING PATHCalculated SystemsGetting Started with Machine Learning ModelsIntermediateDuration: Up to 9 hours and 12 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 9 hours and 12 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs
- HANDS-ON LABAndrew BurchillProcessing Streaming Metadata using Amazon Kinesis Data StreamsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Kinesis Data Streams with Amazon API Gateway and AWS Lambda 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 LABLogan RakaiComparing 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: NoSQL, Big Data; This hands-on lab has: 5 Lab steps
- COURSEHallam WebberSecuring Azure StorageIntermediateDuration: 30 minutes and 4 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 30 minutes and 4 seconds; Content Topics: Storage; This course has: 7 Lectures
- COURSEHallam WebberManaging Power BI DatasetsIntermediateDuration: 38 minutes and 35 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 38 minutes and 35 seconds; Content Topics: Big Data; This course has: 7 Lectures
- COURSEStuart ScottRunning Operations & Large Scale Data Transfer in non-AWS Environments with the AWS Snow FamilyIntermediateDuration: 26 minutes and 15 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 26 minutes and 15 seconds; Content Topics: Migration, Storage; This course has: 7 Lectures
- HANDS-ON LABAndrew BurchillAmazon Simple Storage Service (Amazon S3) PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Andrew Burchill; Difficulty: Beginner; Description: Explore the Amazon Simple Storage Service (Amazon S3) in this hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Storage; This hands-on lab has: 2 Lab steps
- LAB CHALLENGEAndrew BurchillAWS Data Analytics Processing ChallengeBeginnerDuration: Up to 1 hour and 15 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Put your skills to the test in this data analytics lab. Complete a data analytics processing solution before time runs out. You will need to be familiar with Amazon's Data Analytics services and associated tools in order to complete a partially built solution for processing log data from an EC2 instance using Amazon Kinesis, AWS Lambda, and Amazon S3.; Duration: Up to 1 hour and 15 minutes; Content Topics: Serverless, App Streaming; This lab challenge has: 2 Lab steps
- HANDS-ON LABStefano CascavillaImprove Cloud SQL Infrastructure Using High AvailabilityIntermediateDuration: Up to 1 hourAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will enable high availability for a Cloud SQL instance and you will failover it to check that the high availability is guaranteed.; Duration: Up to 1 hour; Content Topics: Google Cloud Platform; This hands-on lab has: 5 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: Messaging, Serverless; 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
- COURSEBen LambertBuilding a Python Application: Lesson TwoAdvancedDuration: 59 minutes and 7 secondsAuthor: Ben Lambert; Difficulty: Advanced; Duration: 59 minutes and 7 seconds; Content Topics: Data Engineering, Data Transformation; This course has: 9 Lectures
- LAB CHALLENGEAndrew BurchillAmazon S3 Security and Access ChallengeIntermediateDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Put your Amazon Simple Storage Service (S3) skills to the test and secure a bucket in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage; This lab challenge has: 1 Lab step
- HANDS-ON LABDaniel WoodBackup and Restore a Kubernetes ClusterIntermediateDuration: Up to 40 minutesAuthor: Daniel Wood; Difficulty: Intermediate; Description: Perform a backup and restore cluster management operation of a Kubernetes cluster in this lab.; Duration: Up to 40 minutes; Content Topics: Containers; This hands-on lab has: 3 Lab steps
- LEARNING PATHBuilding First-Party DataBeginnerDuration: Up to 13 minutesDifficulty: Beginner; Description: This course explores why collecting data directly from consumers is key to understanding their behaviors, and meeting their needs and preferences.; Duration: Up to 13 minutes; This learning path has: 1 Course
- LEARNING PATHData Visualization Best PracticeIntermediateDuration: Up to 47 minutesDifficulty: Intermediate; Description: We take a look at what makes good data visualizations and explore the processes and tools you’ll likely put to use when developing them.; Duration: Up to 47 minutes; This learning path has: 3 Courses, 2 Exams
- LEARNING PATHStefano CascavillaCoding with the Functional Programming Paradigm Using ScalaIntermediateDuration: Up to 12 hours and 30 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: Get a practical understanding of the Scala programming language, its features, and how to use it with this labs-based course!; Duration: Up to 12 hours and 30 minutes; Content Topics: Development; This learning path has: 2 Lab challenges, 9 Hands-on labs
- LEARNING PATHStefano CascavillaNeo4j Graph Databases: A Firsthand ApproachIntermediateDuration: Up to 6 hours and 58 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this hands-on course, you will learn how to create and manage your own graph databases using Neo4j.; Duration: Up to 6 hours and 58 minutes; Content Topics: Graph Databases; This learning path has: 1 Course, 1 Lab challenge, 4 Hands-on labs