种子简介

种子名称： Amazon Web Services - Data Services
文件类型： 视频
文件数目： 57个文件
文件大小： 742.05 MB
收录时间： 2017-10-1 11:30
已经下载： 3次
资源热度： 76
最近下载： 2025-1-3 00:54

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Amazon Web Services - Data Services.torrent

01.Welcome.56s.mp45.99MB

02.What you should know before watching this course.38s.mp41.45MB

03.Using the exercise files.11s.mp4377.84KB

04.Introducing Amazon Web Services.248s.mp411.75MB

05.Why use AWS data storage services.186s.mp48.77MB

06.Exploring file and HDFS storage.65s.mp42.52MB

07.Exploring AWS data storage.207s.mp47.73MB

08.Understanding why cloud tools matter.92s.mp43.62MB

09.Exploring the core file storage choices.63s.mp42.54MB

10.Exploring Simple Storage Service (S3).735s.mp433.55MB

11.Exploring Glacier storage.241s.mp410.43MB

12.Using CloudBerry to back up data.207s.mp48.92MB

13.Exploring EBS and EFS.348s.mp414.82MB

14.Summarizing raw storage choices and prices.298s.mp412.59MB

15.Other AWS file services.179s.mp48.85MB

16.Exploring the AWS RDS for RDBMS.205s.mp47.98MB

17.Exploring core RDS with MySQL.363s.mp416.78MB

18.Using MySQL Workbench.348s.mp416.01MB

19.Exploring RDS with SQL Server.261s.mp412.21MB

20.Logging data to SQL Server RDS.256s.mp412.34MB

21.Introducing Aurora.291s.mp415.2MB

22.Exploring RDS with Aurora.292s.mp413.8MB

23.Exploring other RDS options such as Oracle and PostgreSQL.112s.mp45.63MB

24.Summarizing RDBMS and prices.404s.mp419.26MB

25.Exploring NoSQL options in Amazon Web Services.230s.mp48.54MB

26.Understanding ElastiCache.404s.mp418.68MB

27.Understanding DynamoDB.709s.mp429.35MB

28.Understanding Kinesis.473s.mp422.44MB

29.Exploring document and graph databases.316s.mp418.99MB

30.Updates to compute_containers and NoSQL.514s.mp424.88MB

31.Using NoSQL with MongoLab.373s.mp417.45MB

32.Summarizing NoSQL and prices.296s.mp412.15MB

33.Exploring the AWS data warehouse options and Redshift.503s.mp422.27MB

34.Working with AWS Redshift.191s.mp49.42MB

35.Connecting to AWS Redshift with SQL Workbench.286s.mp419.6MB

36.Using Snowflake as an alternative data warehouse.420s.mp418.72MB

37.Summarizing data warehousing.140s.mp45.27MB

38.Visualizing data with BIME.292s.mp416.34MB

39.Using AWS data pipelines.393s.mp414.82MB

40.Using Xplenty for ETL (extract, transform, load).381s.mp421.95MB

41.Understanding AWS EC2 AMIs (Amazon Machine Images).98s.mp43.84MB

42.Installing a graph database using an AMI.167s.mp46.34MB

43.Using AWS EC2 AMI Marketplace for graph databases.194s.mp413.28MB

44.Exploring GrapheneDB, a hosted graph database.152s.mp47.89MB

45.Introducing AWS Machine Learning.266s.mp410.75MB

46.Using AWS Machine Learning.817s.mp441.12MB

47.Exploring Hadoop on AWS.345s.mp412.04MB

48.Understanding Hadoop jobs and libraries.289s.mp411.02MB

49.Exploring AWS EMR (Elastic MapReduce).481s.mp418.62MB

50.Intro to AWS data architectures.108s.mp44.91MB

51.Exploring a file storage scenario.274s.mp410.37MB

52.Moving some relational work to AWS.240s.mp49.09MB

53.Building a data warehouse in the cloud.324s.mp412.62MB

54.Working with caching and real-time data.263s.mp410.02MB

55.Building for the Internet of Things with Hadoop.380s.mp414.9MB

56.Exploring more resources.227s.mp413.12MB

57.Goodbye.204s.mp48.13MB