BDS-C00 AWS Certified Big Data - Pearson
- 收录时间:2020-02-05 07:37:53
- 文件大小:18GB
- 下载次数:25
- 最近下载:2021-01-12 13:36:15
- 磁力链接:
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文件列表
- 46 - 5.3 Learn Redshift design.mp4 1GB
- 47 - 5.4 Use Redshift data ingestion.mp4 935MB
- 64 - 7.7 Implement EMR Security.mp4 896MB
- 17 - 2.7 Demo - AWS Kinesis.mp4 879MB
- 68 - 8.3 Learn Serverless Production Big Data application development.mp4 829MB
- 63 - 7.6 Implement Redshift Security.mp4 792MB
- 60 - 7.3 Identity and Access Management (IAM).mp4 766MB
- 54 - 6.2 Design and create the Visualization platform.mp4 645MB
- 51 - 5.8 Use AWS Athena - interactive analytics.mp4 589MB
- 62 - 7.5 Configure VPC.mp4 531MB
- 75 - 10.1 Wrap up.mp4 500MB
- 53 - 6.1 Overview of AWS Quicksight.mp4 478MB
- 66 - 8.1 Understand Big Data for Sagemaker.mp4 465MB
- 49 - 5.6 Use AWS Elasticsearch - operational analytics.mp4 459MB
- 16 - 2.6 Scenario 3.mp4 455MB
- 48 - 5.5 Apply Redshift operations.mp4 437MB
- 45 - 5.2 Understand Redshift overview.mp4 395MB
- 56 - 6.4 Understand critical Quicksight limitations.mp4 353MB
- 50 - 5.7 Understand Machine Learning - clustering and regression.mp4 314MB
- 61 - 7.4 Encryption.mp4 313MB
- 44 - 5.1 Determine how to design and architect the analytical solution.mp4 252MB
- 15 - 2.5 Scenario 2.mp4 243MB
- 70 - 8.5 Implement Spot Instances for Big Data Pipeline.mp4 226MB
- 28 - 3.9 Use Dynamodb.mp4 218MB
- 24 - 3.5 Understand storage & database fundamentals.mp4 208MB
- 25 - 3.6 Learn S3 - storage.mp4 208MB
- 27 - 3.8 Create AWS Glue - data catalog.mp4 203MB
- 21 - 3.2 Determine data access and retrieval patterns.mp4 196MB
- 06 - 1.5 Learn an exam strategy.mp4 185MB
- 18 - 2.8 Review _ conclusion.mp4 182MB
- 20 - 3.1 Optimize the operational characteristics of the storage solution.mp4 179MB
- 02 - 1.1 Learn the answer to “What is Big Data”.mp4 169MB
- 23 - 3.4 Determine appropriate data structure and storage format.mp4 153MB
- 55 - 6.3 Optimize the QuickSight operations.mp4 146MB
- 73 - 9.2 Walk through the exam sections.mp4 143MB
- 32 - 4.4 Understand AWS processing - overview.mp4 131MB
- 04 - 1.3 Know AWS Certification - 6 domain areas.mp4 119MB
- 58 - 7.1 Data governance.mp4 116MB
- 26 - 3.7 Understand Glacier - backup & archive.mp4 114MB
- 31 - 4.3 Determine the operational characteristics of the solution implemented.mp4 113MB
- 13 - 2.3 Approaches to data collection.mp4 111MB
- 05 - 1.4 Understand the AWS Certification Exam - blueprint.mp4 109MB
- 29 - 4.1 Identify the appropriate data processing technology for a given scenario.mp4 107MB
- 69 - 8.4 Implement Containerization for Big Data.mp4 107MB
- 08 - 1.7 Learn exam tips & tricks.mp4 106MB
- 22 - 3.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries.mp4 100MB
- 35 - 4.7 Apply EMR - architecture.mp4 92MB
- 30 - 4.2 Design and architect the data processing solution.mp4 91MB
- 14 - 2.4 Scenario 1.mp4 88MB
- 12 - 2.2 Concepts.mp4 87MB
- 59 - 7.2 AWS Shared Responsibility Model.mp4 86MB
- 03 - 1.2 Explore the history of Big Data.mp4 80MB
- 11 - 2.1 Introduction _ overview.mp4 78MB
- 07 - 1.6 Identify focus areas.mp4 75MB
- 36 - 4.8 Understand EMR - operations.mp4 75MB
- 67 - 8.2 Learn Sagemaker and EMR Integration.mp4 72MB
- 42 - 4.14 Implement EMR - Lambda.mp4 69MB
- 09 - 1.8 Learn how to register for an AWS Certification Exam.mp4 63MB
- 43 - Learning objectives.mp4 63MB
- 40 - 4.12 Use EMR - Spark.mp4 62MB
- 38 - 4.10 Use EMR - Hbase.mp4 58MB
- 01 - Learning objectives.mp4 55MB
- 37 - 4.9 Use EMR - Hive.mp4 53MB
- 33 - 4.5 Understand Elastic MapReduce (EMR).mp4 51MB
- 41 - 4.13 Implement EMR - storage & compression.mp4 48MB
- 39 - 4.11 Use EMR - Presto.mp4 43MB
- 52 - Learning objectives.mp4 41MB
- 34 - 4.6 Learn about Apache Hadoop.mp4 41MB
- 76 - Summary.mp4 40MB
- 10 - Learning objectives.mp4 36MB
- 57 - Learning objectives.mp4 35MB
- 72 - 9.1 Prepare for the exam.mp4 26MB
- 19 - Learning objectives.mp4 24MB
- 65 - Learning objectives.mp4 22MB
- 71 - Learning objectives.mp4 17MB
- 74 - 9.3 Review the exam.mp4 11MB