Amazon Kinesis Data Streams | High Level Architecture | Explained

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Pythoholic

Pythoholic

Күн бұрын

Let's talk about Kinesis Data Streams.
Kinesis Data Streams
Amazon Kinesis Data Streams is a scalable and durable real-time data streaming service that can continuously capture gigabytes of data per second from hundreds of thousands of sources. SO, when you read data steams think of KDS.
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Every unit of data stored by KDS is a data record.
And a group of DATA RECORD makes up data steam.
And data records in data streams are distributed into SHARDS.
When it comes to KINESIS, we have a default shart limit of 500 per stream in the US East (N. Virginia), US West (Oregon), and Europe (Ireland). For all other regions, the default shard quota is 200 shards per data stream.
And the PRODUCER is the one responsible to put the data records into SHARDS and a CONSUMER gets data records from SHARDS.
Timelines for your convenience:
00:00 // Intro
00:20 // Kinesis Data Streams Deep Dive
05:20 // Data Streams and How it works?
08:18 // Determining the Initial size of Kinesis Data Streams
16:55 // Datastreams Producers
19:42 // Datastreams Consumers, Quota and Limits
22:16 // Kinesis Data Streams High Level Architecture
22:58 // Kinesis Security
27:48 // Outro
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Пікірлер: 12
@kolawolegabriel6558
@kolawolegabriel6558 2 күн бұрын
@Pythoholic, you are gifted teacher. I appreciate your videos. Please can you make an explicit vide on AWS S3 Accesspoint practical with full demo
@praneeth0820
@praneeth0820 3 жыл бұрын
By far the most detailed explanation on this topic. Very well explained !!
@suriyakumar8456
@suriyakumar8456 3 жыл бұрын
Great explanation waiting for another services.
@360Legion
@360Legion 2 жыл бұрын
great work. always loved your videos
@arpantiwary
@arpantiwary 2 жыл бұрын
@pythaholic: what kind of questions are expected on Kinesis interms of SAA cert?
@user-pb2hm4ub2d
@user-pb2hm4ub2d 3 жыл бұрын
Hi Nice Explanation. Can you also create Video for -> explain in detail about Error handling with example in Kinesis Data Streams and how to use the Random Cut Forest (RCF) algorithm in Kinesis Data Streams.
@Pythoholic
@Pythoholic 3 жыл бұрын
Will upload soon
@pmtripathi
@pmtripathi 3 жыл бұрын
how important is remembering these quota and limit values from certification perspective?
@Pythoholic
@Pythoholic 3 жыл бұрын
Its important for a solutions architect to design cost effective solutions. For exam perspective its not mandatory but in case if there is a question which talks about a scenario of cost effectiveness then it will be surely helpful.
@pmtripathi
@pmtripathi 3 жыл бұрын
@@Pythoholic Thanks, that helps.
@vivekbahadursingh2901
@vivekbahadursingh2901 Жыл бұрын
Very well explained.. Are you planning to add videos on Kinesis Firehose and Video Stream separately ??
@Pythoholic
@Pythoholic Жыл бұрын
Sure
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