[Udemy] AWS Certified Data Analytics Specialty - 1.Collect





1. Connect

Kinesis: 类似于Kafka, 分为 Data Streams(real time), Analytics, Firehose(near real time),区别是:

overview of Kinesis:

对于 Kineses Data Stream:

Kinesis Producers

Kinesis SDK: PutRecord(s)

KPL:

Kinesis Consumer - Classic
KPL产生的数据,用KCL来读.
Kinesis Connect Library 比较过时了,功能被Kinesis Firehose和 Lamdba 代替.

KCL
需要DynamoDB配合做做断点续传这个还太搞很清楚


Kinesis Firehose



CloudWatch Logs Subscription Filter Patterns
Subscription Filter 可以流入3个目标,Firehose, Data Stream, Lambda
Near Real Time

Real - Time

Real Time Analytics

SQS:

怎么发256K的消息到SQS里?


IoT, 考的很少

MSK
能发送10M大的数据给Kafka


转载请注明出处 http://www.cnblogs.com/mashuai-191/


浙公网安备 33010602011771号