Amazon Web Services - Data Services

1. 01.Welcome.56s.mp45.99MB
2. 02.What you should know before watching this course.38s.mp41.45MB
3. 03.Using the exercise files.11s.mp4377.84KB
4. 04.Introducing Amazon Web Services.248s.mp411.75MB
5. 05.Why use AWS data storage services.186s.mp48.77MB
6. 06.Exploring file and HDFS storage.65s.mp42.52MB
7. 07.Exploring AWS data storage.207s.mp47.73MB
8. 08.Understanding why cloud tools matter.92s.mp43.62MB
9. 09.Exploring the core file storage choices.63s.mp42.54MB
10. 10.Exploring Simple Storage Service (S3).735s.mp433.55MB
11. 11.Exploring Glacier storage.241s.mp410.43MB
12. 12.Using CloudBerry to back up data.207s.mp48.92MB
13. 13.Exploring EBS and EFS.348s.mp414.82MB
14. 14.Summarizing raw storage choices and prices.298s.mp412.59MB
15. 15.Other AWS file services.179s.mp48.85MB
16. 16.Exploring the AWS RDS for RDBMS.205s.mp47.98MB
17. 17.Exploring core RDS with MySQL.363s.mp416.78MB
18. 18.Using MySQL Workbench.348s.mp416.01MB
19. 19.Exploring RDS with SQL Server.261s.mp412.21MB
20. 20.Logging data to SQL Server RDS.256s.mp412.34MB
21. 21.Introducing Aurora.291s.mp415.2MB
22. 22.Exploring RDS with Aurora.292s.mp413.8MB
23. 23.Exploring other RDS options such as Oracle and PostgreSQL.112s.mp45.63MB
24. 24.Summarizing RDBMS and prices.404s.mp419.26MB
25. 25.Exploring NoSQL options in Amazon Web Services.230s.mp48.54MB
26. 26.Understanding ElastiCache.404s.mp418.68MB
27. 27.Understanding DynamoDB.709s.mp429.35MB
28. 28.Understanding Kinesis.473s.mp422.44MB
29. 29.Exploring document and graph databases.316s.mp418.99MB
30. 30.Updates to compute_containers and NoSQL.514s.mp424.88MB
31. 31.Using NoSQL with MongoLab.373s.mp417.45MB
32. 32.Summarizing NoSQL and prices.296s.mp412.15MB
33. 33.Exploring the AWS data warehouse options and Redshift.503s.mp422.27MB
34. 34.Working with AWS Redshift.191s.mp49.42MB
35. 35.Connecting to AWS Redshift with SQL Workbench.286s.mp419.6MB
36. 36.Using Snowflake as an alternative data warehouse.420s.mp418.72MB
37. 37.Summarizing data warehousing.140s.mp45.27MB
38. 38.Visualizing data with BIME.292s.mp416.34MB
39. 39.Using AWS data pipelines.393s.mp414.82MB
40. 40.Using Xplenty for ETL (extract, transform, load).381s.mp421.95MB
41. 41.Understanding AWS EC2 AMIs (Amazon Machine Images).98s.mp43.84MB
42. 42.Installing a graph database using an AMI.167s.mp46.34MB
43. 43.Using AWS EC2 AMI Marketplace for graph databases.194s.mp413.28MB
44. 44.Exploring GrapheneDB, a hosted graph database.152s.mp47.89MB
45. 45.Introducing AWS Machine Learning.266s.mp410.75MB
46. 46.Using AWS Machine Learning.817s.mp441.12MB
47. 47.Exploring Hadoop on AWS.345s.mp412.04MB
48. 48.Understanding Hadoop jobs and libraries.289s.mp411.02MB
49. 49.Exploring AWS EMR (Elastic MapReduce).481s.mp418.62MB
50. 50.Intro to AWS data architectures.108s.mp44.91MB
51. 51.Exploring a file storage scenario.274s.mp410.37MB
52. 52.Moving some relational work to AWS.240s.mp49.09MB
53. 53.Building a data warehouse in the cloud.324s.mp412.62MB
54. 54.Working with caching and real-time data.263s.mp410.02MB
55. 55.Building for the Internet of Things with Hadoop.380s.mp414.9MB
56. 56.Exploring more resources.227s.mp413.12MB
57. 57.Goodbye.204s.mp48.13MB