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File List
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01 - Learning objectives.mp4 54.85 MB
02 - 1.1 Learn the answer to “What is Big Data”.mp4 169.03 MB
03 - 1.2 Explore the history of Big Data.mp4 79.67 MB
04 - 1.3 Know AWS Certification - 6 domain areas.mp4 118.89 MB
05 - 1.4 Understand the AWS Certification Exam - blueprint.mp4 108.96 MB
06 - 1.5 Learn an exam strategy.mp4 185.29 MB
07 - 1.6 Identify focus areas.mp4 75.25 MB
08 - 1.7 Learn exam tips & tricks.mp4 105.94 MB
09 - 1.8 Learn how to register for an AWS Certification Exam.mp4 62.98 MB
10 - Learning objectives.mp4 35.82 MB
11 - 2.1 Introduction _ overview.mp4 78.46 MB
12 - 2.2 Concepts.mp4 87.15 MB
13 - 2.3 Approaches to data collection.mp4 111.44 MB
14 - 2.4 Scenario 1.mp4 88.16 MB
15 - 2.5 Scenario 2.mp4 243.01 MB
16 - 2.6 Scenario 3.mp4 455.34 MB
17 - 2.7 Demo - AWS Kinesis.mp4 879.13 MB
18 - 2.8 Review _ conclusion.mp4 181.99 MB
19 - Learning objectives.mp4 24.01 MB
20 - 3.1 Optimize the operational characteristics of the storage solution.mp4 179.45 MB
21 - 3.2 Determine data access and retrieval patterns.mp4 195.63 MB
22 - 3.3 Evaluate mechanisms for capture, update, and retrieval of catalog entries.mp4 100.15 MB
23 - 3.4 Determine appropriate data structure and storage format.mp4 152.95 MB
24 - 3.5 Understand storage & database fundamentals.mp4 208.21 MB
25 - 3.6 Learn S3 - storage.mp4 207.93 MB
26 - 3.7 Understand Glacier - backup & archive.mp4 113.81 MB
27 - 3.8 Create AWS Glue - data catalog.mp4 202.8 MB
28 - 3.9 Use Dynamodb.mp4 217.99 MB
29 - 4.1 Identify the appropriate data processing technology for a given scenario.mp4 107.08 MB
30 - 4.2 Design and architect the data processing solution.mp4 90.87 MB
31 - 4.3 Determine the operational characteristics of the solution implemented.mp4 112.96 MB
32 - 4.4 Understand AWS processing - overview.mp4 131 MB
33 - 4.5 Understand Elastic MapReduce (EMR).mp4 50.99 MB
34 - 4.6 Learn about Apache Hadoop.mp4 40.69 MB
35 - 4.7 Apply EMR - architecture.mp4 92.26 MB
36 - 4.8 Understand EMR - operations.mp4 74.7 MB
37 - 4.9 Use EMR - Hive.mp4 52.76 MB
38 - 4.10 Use EMR - Hbase.mp4 58.34 MB
39 - 4.11 Use EMR - Presto.mp4 43.44 MB
40 - 4.12 Use EMR - Spark.mp4 61.62 MB
41 - 4.13 Implement EMR - storage & compression.mp4 48.19 MB
42 - 4.14 Implement EMR - Lambda.mp4 69.49 MB
43 - Learning objectives.mp4 62.56 MB
44 - 5.1 Determine how to design and architect the analytical solution.mp4 252.34 MB
45 - 5.2 Understand Redshift overview.mp4 394.55 MB
46 - 5.3 Learn Redshift design.mp4 1.13 GB
47 - 5.4 Use Redshift data ingestion.mp4 935.44 MB
48 - 5.5 Apply Redshift operations.mp4 436.91 MB
49 - 5.6 Use AWS Elasticsearch - operational analytics.mp4 459.41 MB
50 - 5.7 Understand Machine Learning - clustering and regression.mp4 314.03 MB
51 - 5.8 Use AWS Athena - interactive analytics.mp4 589.41 MB
52 - Learning objectives.mp4 40.75 MB
53 - 6.1 Overview of AWS Quicksight.mp4 478.48 MB
54 - 6.2 Design and create the Visualization platform.mp4 644.8 MB
55 - 6.3 Optimize the QuickSight operations.mp4 146.46 MB
56 - 6.4 Understand critical Quicksight limitations.mp4 352.54 MB
57 - Learning objectives.mp4 34.98 MB
58 - 7.1 Data governance.mp4 115.6 MB
59 - 7.2 AWS Shared Responsibility Model.mp4 85.9 MB
60 - 7.3 Identity and Access Management (IAM).mp4 766.45 MB
61 - 7.4 Encryption.mp4 312.51 MB
62 - 7.5 Configure VPC.mp4 530.53 MB
63 - 7.6 Implement Redshift Security.mp4 792.41 MB
64 - 7.7 Implement EMR Security.mp4 895.96 MB
65 - Learning objectives.mp4 22.16 MB
66 - 8.1 Understand Big Data for Sagemaker.mp4 465.25 MB
67 - 8.2 Learn Sagemaker and EMR Integration.mp4 72.11 MB
68 - 8.3 Learn Serverless Production Big Data application development.mp4 829.27 MB
69 - 8.4 Implement Containerization for Big Data.mp4 106.51 MB
70 - 8.5 Implement Spot Instances for Big Data Pipeline.mp4 225.99 MB
71 - Learning objectives.mp4 16.96 MB
72 - 9.1 Prepare for the exam.mp4 26.07 MB
73 - 9.2 Walk through the exam sections.mp4 143.35 MB
74 - 9.3 Review the exam.mp4 10.9 MB
75 - 10.1 Wrap up.mp4 499.95 MB
76 - Summary.mp4 40.42 MB
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