ACG9/01 Introduction/001 AWS Certified Big Data Specialty.txt |
67 B |
ACG9/01 Introduction/001 Exam Blue Print.mp4 |
13.9 MB |
ACG9/01 Introduction/001 Exam Blue Print.pdf |
356 KB |
ACG9/01 Introduction/002 How Was This Course Created.mp4 |
2.9 MB |
ACG9/01 Introduction/003 Disclaimer - This Course Will Not Guarantee That You Will Pass Your Exam.mp4 |
4.2 MB |
ACG9/01 Introduction/004 Aginity Pro.txt |
46 B |
ACG9/01 Introduction/004 Lab Costs.txt |
56 B |
ACG9/01 Introduction/004 lab files - Github repo.txt |
47 B |
ACG9/01 Introduction/004 SQL WorkbenchJ.html |
5 KB |
ACG9/01 Introduction/004 What Youll Need To Do This Course.mp4 |
7.8 MB |
ACG9/01 Introduction/005 Generating a Dataset.mp4 |
73.8 MB |
ACG9/01 Introduction/005 TPC-H Dataset.txt |
25 B |
ACG9/01 Introduction/005 Use SCP to transfer a file.html |
4 KB |
ACG9/02 Domain 1 - Collection/001 Kinesis Streams Introduction.mp4 |
14.2 MB |
ACG9/02 Domain 1 - Collection/002 Implementing Efficient and Reliable Producers with the Amazon Kinesis Producer Library.txt |
126 B |
ACG9/02 Domain 1 - Collection/002 Kinesis Agent.txt |
48 B |
ACG9/02 Domain 1 - Collection/002 Kinesis Client Library.txt |
49 B |
ACG9/02 Domain 1 - Collection/002 Kinesis Producer Library.txt |
51 B |
ACG9/02 Domain 1 - Collection/002 Kinesis Streams Core Concepts.mp4 |
35.7 MB |
ACG9/02 Domain 1 - Collection/003 Amazon Kinesis Connectors.txt |
53 B |
ACG9/02 Domain 1 - Collection/003 Kinesis Streams Emitting Data to AWS Services.mp4 |
35.1 MB |
ACG9/02 Domain 1 - Collection/004 Amazon Kinesis Firehose Data Transformation with AWS Lambda.txt |
98 B |
ACG9/02 Domain 1 - Collection/004 Kinesis Firehose.mp4 |
27.1 MB |
ACG9/02 Domain 1 - Collection/005 SQS.mp4 |
16.7 MB |
ACG9/02 Domain 1 - Collection/006 AWS IoT Python example.txt |
49 B |
ACG9/02 Domain 1 - Collection/006 Core Tenets of IoT.pdf |
456 KB |
ACG9/02 Domain 1 - Collection/006 IoT.mp4 |
32.3 MB |
ACG9/02 Domain 1 - Collection/007 Data Pipeline.mp4 |
18.8 MB |
ACG9/02 Domain 1 - Collection/008 Amazon QuickSight Update Geospatial Visualization Private VPC Access and More.txt |
112 B |
ACG9/02 Domain 1 - Collection/008 Getting Data into AWS.mp4 |
35.6 MB |
ACG9/02 Domain 1 - Collection/008 httpsaws.amazon.txt |
96 B |
ACG9/03 Domain 2 - Storage/001 Glacier.mp4 |
9.5 MB |
ACG9/03 Domain 2 - Storage/002 DynamoDB Introduction.mp4 |
24.2 MB |
ACG9/03 Domain 2 - Storage/002 DynamoDB Limitations.txt |
172 B |
ACG9/03 Domain 2 - Storage/003 AWS - updated DDB capacity flexibility.txt |
172 B |
ACG9/03 Domain 2 - Storage/003 DynamoDB Partitions.mp4 |
23.2 MB |
ACG9/03 Domain 2 - Storage/004 DynamoDB GSILSI.mp4 |
58.9 MB |
ACG9/03 Domain 2 - Storage/004 Improving Data Access with Secondary Indexes.html |
5 KB |
ACG9/03 Domain 2 - Storage/004 Scaling Writes on Amazon DynamoDB Tables with Global Secondary Indexes.txt |
110 B |
ACG9/03 Domain 2 - Storage/005 Cross-Region Replication.html |
5 KB |
ACG9/03 Domain 2 - Storage/005 DynamoDB Streams and Replication.mp4 |
17.6 MB |
ACG9/03 Domain 2 - Storage/006 AWS New adaptive performance.txt |
172 B |
ACG9/03 Domain 2 - Storage/006 DynamoDB Performance Deep Dive Part 1.mp4 |
33 MB |
ACG9/03 Domain 2 - Storage/007 AWS New adaptive performance.txt |
172 B |
ACG9/03 Domain 2 - Storage/007 DynamoDB Performance Deep Dive Part 2.mp4 |
23 MB |
ACG9/04 Domain 3 - Processing/001 EMR Introduction.mp4 |
12.5 MB |
ACG9/04 Domain 3 - Processing/001 lab files - GitHub repo.txt |
47 B |
ACG9/04 Domain 3 - Processing/002 Apache Hadoop Part 1.mp4 |
9.7 MB |
ACG9/04 Domain 3 - Processing/003 Apache Hadoop Part 2.mp4 |
8.7 MB |
ACG9/04 Domain 3 - Processing/004 Amazon EMR announces Support for Multiple Master nodes.txt |
156 B |
ACG9/04 Domain 3 - Processing/004 EMR Architecture Part 1.mp4 |
14.6 MB |
ACG9/04 Domain 3 - Processing/005 EMR Architecture Part 2.mp4 |
25.3 MB |
ACG9/04 Domain 3 - Processing/006 EMR Operations Part 1.mp4 |
32.3 MB |
ACG9/04 Domain 3 - Processing/007 Amazon EMR Best Practices.Amazon EMR Best Practices |
1 MB |
ACG9/04 Domain 3 - Processing/007 EMR Operations Part 2.mp4 |
27.3 MB |
ACG9/04 Domain 3 - Processing/007 Hive Script.Hive Script |
549 B |
ACG9/04 Domain 3 - Processing/008 EMR Operations Part 3.mp4 |
15.9 MB |
ACG9/04 Domain 3 - Processing/009 EMR Operations Part 4.mp4 |
49.1 MB |
ACG9/04 Domain 3 - Processing/009 View Web Interfaces Hosted on Amazon EMR Clusters.html |
5 KB |
ACG9/04 Domain 3 - Processing/010 Configure Hue for LDAP Users.html |
5 KB |
ACG9/04 Domain 3 - Processing/010 Using Hue with EMR.mp4 |
24 MB |
ACG9/04 Domain 3 - Processing/011 Hive on EMR.mp4 |
40.3 MB |
ACG9/04 Domain 3 - Processing/012 Access HBase Tables with Hive.html |
5 KB |
ACG9/04 Domain 3 - Processing/012 Combine NoSQL and Massively Parallel Analytics Using Apache HBase and Apache Hive on Amazon EMR.txt |
135 B |
ACG9/04 Domain 3 - Processing/012 Comparing the Use of Amazon DynamoDB and Apache HBase for NoSQL.Comparing the Use of Amazon DynamoDB and Apache HBase for NoSQL |
696 KB |
ACG9/04 Domain 3 - Processing/012 HBase on EMR.mp4 |
46.4 MB |
ACG9/04 Domain 3 - Processing/013 Presto on EMR.mp4 |
15.2 MB |
ACG9/04 Domain 3 - Processing/014 Spark on EMR Part 1.mp4 |
26.1 MB |
ACG9/04 Domain 3 - Processing/015 Analyze Realtime Data from Amazon Kinesis Streams Using Zeppelin and Spark Streaming.txt |
124 B |
ACG9/04 Domain 3 - Processing/015 Analyze Your Data on Amazon DynamoDB with Apache Spark.txt |
94 B |
ACG9/04 Domain 3 - Processing/015 EMR DynamoDB Connector.txt |
50 B |
ACG9/04 Domain 3 - Processing/015 Optimize Spark-Streaming to Efficiently Process Amazon Kinesis Streams.txt |
110 B |
ACG9/04 Domain 3 - Processing/015 Powering Amazon Redshift Analytics with Apache Spark and Amazon Machine Learning.txt |
120 B |
ACG9/04 Domain 3 - Processing/015 Redshift Data Source for Apache Spark.txt |
45 B |
ACG9/04 Domain 3 - Processing/015 Spark on EMR Part 2.mp4 |
28.9 MB |
ACG9/04 Domain 3 - Processing/015 Using Spark SQL for ETL.txt |
63 B |
ACG9/04 Domain 3 - Processing/016 EMR File Storage and Compression.mp4 |
10.5 MB |
ACG9/04 Domain 3 - Processing/017 EMR Lab DDL and Commands.txt |
47 B |
ACG9/04 Domain 3 - Processing/017 EMR Lab.mp4 |
43.5 MB |
ACG9/04 Domain 3 - Processing/018 A Zero-Administration Amazon Redshift Database Loader.txt |
93 B |
ACG9/04 Domain 3 - Processing/018 Ad Hoc Big Data Processing Made Simple with Serverless MapReduce.txt |
103 B |
ACG9/04 Domain 3 - Processing/018 Amazon Kinesis Firehose Data Transformation with AWS Lambda.txt |
98 B |
ACG9/04 Domain 3 - Processing/018 Implementing a Serverless AWS IoT Backend with AWS Lambda and Amazon DynamoDB.txt |
116 B |
ACG9/04 Domain 3 - Processing/018 Indexing Metadata in Amazon Elasticsearch Service Using AWS Lambda and Python.txt |
117 B |
ACG9/04 Domain 3 - Processing/018 Lambda in the AWS Big Data Ecosystem.mp4 |
39.6 MB |
ACG9/04 Domain 3 - Processing/018 Using AWS Lambda for Event-driven Data Processing Pipelines.txt |
99 B |
ACG9/04 Domain 3 - Processing/018 Using AWS Lambda with Amazon DynamoDB.html |
4 KB |
ACG9/04 Domain 3 - Processing/018 Using AWS Lambda with Amazon Kinesis.html |
4 KB |
ACG9/04 Domain 3 - Processing/019 HCatalog Lab Text.HCatalog Lab Text |
256 B |
ACG9/04 Domain 3 - Processing/019 HCatalog.mp4 |
23.3 MB |
ACG9/04 Domain 3 - Processing/020 Glue.mp4 |
16.4 MB |
ACG9/04 Domain 3 - Processing/021 Glue Lab.mp4 |
16.9 MB |
ACG9/04 Domain 3 - Processing/021 Lab csv (google_trends_pho_ramen_soba.csv) |
3 KB |
ACG9/05 Domain 4 - Analysis/001 Introduction to Redshift.mp4 |
6.3 MB |
ACG9/05 Domain 4 - Analysis/001 Lab files - GitHub repo.txt |
47 B |
ACG9/05 Domain 4 - Analysis/002 Data Warehousing on AWS.pdf |
351 KB |
ACG9/05 Domain 4 - Analysis/002 Redshift Architecture.mp4 |
27.3 MB |
ACG9/05 Domain 4 - Analysis/003 Redshift in the AWS Ecosystem.mp4 |
12.7 MB |
ACG9/05 Domain 4 - Analysis/004 Columnar Databases.mp4 |
15.9 MB |
ACG9/05 Domain 4 - Analysis/005 Redshift Table Design - Introduction.mp4 |
13.6 MB |
ACG9/05 Domain 4 - Analysis/006 Amazon Redshift Engineerings Advanced Table Design Playbook.txt |
141 B |
ACG9/05 Domain 4 - Analysis/006 Redshift Table Design - Distribution Styles.mp4 |
24.4 MB |
ACG9/05 Domain 4 - Analysis/007 Optimizing for star schemas and Interleaved interleaved Sorting on Amazon Redshift.txt |
110 B |
ACG9/05 Domain 4 - Analysis/007 Redshift Table Design - Sort Keys.mp4 |
37.8 MB |
ACG9/05 Domain 4 - Analysis/008 Redshift Table Design - Data Types.mp4 |
14.8 MB |
ACG9/05 Domain 4 - Analysis/009 Redshift Table Design - Compression.mp4 |
26.6 MB |
ACG9/05 Domain 4 - Analysis/010 Redshift Table Design - Constraints.mp4 |
9.5 MB |
ACG9/05 Domain 4 - Analysis/011 Redshift Table Design - Review Design.mp4 |
15.1 MB |
ACG9/05 Domain 4 - Analysis/012 Redshift Workload Management.mp4 |
35.8 MB |
ACG9/05 Domain 4 - Analysis/012 UPDATE WLM Short Query Acceleration.html |
5 KB |
ACG9/05 Domain 4 - Analysis/013 Redshift Loading Data Part 1.mp4 |
42.3 MB |
ACG9/05 Domain 4 - Analysis/014 Redshift Data Loading Part 2.mp4 |
14.3 MB |
ACG9/05 Domain 4 - Analysis/015 Redshift Loading Data Part 3.mp4 |
28.2 MB |
ACG9/05 Domain 4 - Analysis/016 Loading Encrypted Data Files from Amazon S3.html |
5 KB |
ACG9/05 Domain 4 - Analysis/016 Redshift Loading Data Part 4.mp4 |
10.5 MB |
ACG9/05 Domain 4 - Analysis/016 Unloading Encrypted Data Files.html |
4 KB |
ACG9/05 Domain 4 - Analysis/017 Redshift Maintenance and Operations Part 1.mp4 |
29.8 MB |
ACG9/05 Domain 4 - Analysis/017 Redshift Node Type Details.html |
4 KB |
ACG9/05 Domain 4 - Analysis/018 Amazon Redshift Snapshot Manager.txt |
81 B |
ACG9/05 Domain 4 - Analysis/018 Analyze Vacuum Schema Utility.txt |
86 B |
ACG9/05 Domain 4 - Analysis/018 Performing a Deep Copy.html |
4 KB |
ACG9/05 Domain 4 - Analysis/018 Redshift Advance Monitoring.txt |
54 B |
ACG9/05 Domain 4 - Analysis/018 Redshift Maintenance and Operations Part 2.mp4 |
37.2 MB |
ACG9/05 Domain 4 - Analysis/019 Factors Affecting Query Performance.html |
4 KB |
ACG9/05 Domain 4 - Analysis/019 Redshift Lab DDL and COPY Commands.txt |
70 B |
ACG9/05 Domain 4 - Analysis/019 Redshift Lab.mp4 |
65.2 MB |
ACG9/05 Domain 4 - Analysis/020 AWS - Amazon Machine Learning process.html |
4 KB |
ACG9/05 Domain 4 - Analysis/020 AWS - Creating and using ML datasources.html |
5 KB |
ACG9/05 Domain 4 - Analysis/020 AWS - SageMaker (the new preferred ML engine).txt |
34 B |
ACG9/05 Domain 4 - Analysis/020 AWS - SageMaker Blog.txt |
90 B |
ACG9/05 Domain 4 - Analysis/020 AWS - SageMaker documentation.html |
2 KB |
ACG9/05 Domain 4 - Analysis/020 Machine Learning Introduction.mp4 |
32 MB |
ACG9/05 Domain 4 - Analysis/020 SageMaker - Supplementary lectures.txt |
56 B |
ACG9/05 Domain 4 - Analysis/021 Building a Multi-Class ML Model with Amazon Machine Learning.txt |
100 B |
ACG9/05 Domain 4 - Analysis/021 Machine Learning Multiclass Classification Model.mp4 |
26.2 MB |
ACG9/05 Domain 4 - Analysis/022 Building a Binary Classification Model with Amazon Machine Learning.txt |
127 B |
ACG9/05 Domain 4 - Analysis/022 Machine Learning Binary Classification Model.mp4 |
39 MB |
ACG9/05 Domain 4 - Analysis/023 Building a Numeric Regression Model with Amazon Machine Learning.txt |
104 B |
ACG9/05 Domain 4 - Analysis/023 Machine Learning Regression Model.mp4 |
14 MB |
ACG9/05 Domain 4 - Analysis/024 Machine Learning Lab Data.txt |
70 B |
ACG9/05 Domain 4 - Analysis/024 Machine Learning Lab.mp4 |
31 MB |
ACG9/05 Domain 4 - Analysis/024 Replacement lab - SageMaker.txt |
56 B |
ACG9/05 Domain 4 - Analysis/025 Elasticsearch.mp4 |
32 MB |
ACG9/05 Domain 4 - Analysis/025 How to Visualize and Refine Your Networks Security by Adding Security Group IDs to Your VPC Flow Logs.txt |
151 B |
ACG9/05 Domain 4 - Analysis/025 Managing Amazon Elasticsearch Service Domains.html |
4 KB |
ACG9/05 Domain 4 - Analysis/026 Connecting R with Amazon Redshift.txt |
73 B |
ACG9/05 Domain 4 - Analysis/026 Crunching Statistics at Scale with SparkR on Amazon EMR.txt |
95 B |
ACG9/05 Domain 4 - Analysis/026 RStudio.mp4 |
6.8 MB |
ACG9/05 Domain 4 - Analysis/026 Running R on AWS.txt |
56 B |
ACG9/05 Domain 4 - Analysis/026 Statistical Analysis with Open-Source R and RStudio on Amazon EMR.txt |
105 B |
ACG9/05 Domain 4 - Analysis/027 Install RStudio in AWS Linux2.txt |
123 B |
ACG9/05 Domain 4 - Analysis/027 RStudio Lab Commands Code.RStudio Lab Commands Code |
741 B |
ACG9/05 Domain 4 - Analysis/027 RStudio Lab.mp4 |
31.1 MB |
ACG9/05 Domain 4 - Analysis/028 Athena.mp4 |
16.2 MB |
ACG9/05 Domain 4 - Analysis/029 Athena Lab Text File.Athena Lab Text File |
1 KB |
ACG9/05 Domain 4 - Analysis/029 Athena Lab.mp4 |
16 MB |
ACG9/06 Domain 5 - Visualization/001 QuickSight Introduction.mp4 |
23.9 MB |
ACG9/06 Domain 5 - Visualization/002 QuickSight Visualization.mp4 |
44.7 MB |
ACG9/06 Domain 5 - Visualization/003 Analyze Realtime Data from Amazon Kinesis Streams Using Zeppelin and Spark Streaming.txt |
124 B |
ACG9/06 Domain 5 - Visualization/003 Big Data Visualization.mp4 |
23.6 MB |
ACG9/06 Domain 5 - Visualization/003 Run Jupyter Notebook and JupyterHub on Amazon EMR.txt |
93 B |
ACG9/06 Domain 5 - Visualization/004 Microstrategy.mp4 |
6 MB |
ACG9/07 Domain 6 - Security/001 AWS - Best Practices for Amazon EMR.pdf |
1 MB |
ACG9/07 Domain 6 - Security/001 EMR Security.mp4 |
55.2 MB |
ACG9/07 Domain 6 - Security/001 Hadoop Encrypted Shuffle.html |
35 KB |
ACG9/07 Domain 6 - Security/002 Amazon Redshift Database Encryption.html |
4 KB |
ACG9/07 Domain 6 - Security/002 Redshift Security.mp4 |
43.4 MB |
ACG9/07 Domain 6 - Security/002 Securing Protecting and Managing Data.html |
6 KB |
ACG9/08 Good Luck/001 Exam Strategy.mp4 |
27.2 MB |
ACG9/08 Good Luck/001 Tech reported to have been seen on some exams.Tech reported to have been seen on some exams |
25 KB |
ACG9/08 Good Luck/002 Good Luck.mp4 |
2.6 MB |
ACG9/08 Good Luck/002 Looking for something different Come work with us.txt |
28 B |