Intro to AWS Kinesis | Video Streams | Data Steams | Data Analytics | Kinesis Firehose
Вставка
- Опубліковано 12 чер 2024
- Yes, the time has come for us to talk about Amazon Kinesis. Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information.
⭐ Kite is a free AI-powered coding assistant that will help you code faster and smarter. The Kite plugin integrates with all the top editors and IDEs to give you smart completions and documentation while you’re typing. I've been using Kite for 6 months and I love it!
www.kite.com/get-kite/?...
Kinesis Video Streams
Amazon Kinesis Video Streams makes it easy to securely stream video from connected devices to AWS for analytics, machine learning (ML), and other processing. When you read video steaming for analytics, think of KVS
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.
Kinesis Data Firehose
Amazon Kinesis Data Firehose is the easiest way to capture, transform, and load data streams into AWS data stores for near real-time analytics with existing business intelligence tools.
Kinesis Data Analytics
Amazon Kinesis Data Analytics is the easiest way to process data streams in real-time with SQL or Java without having to learn new programming languages or processing frameworks.
Timelines for your convenience:
00:00 // Intro
00:46 // Introduction to AWS Kinesis
07:22 // What is Streaming Data?
11:00 // AWS Kinesis Video Streams
14:41 // AWS Kinesis Data Streams
16:42 // AWS Kinesis Data Firehose
20:08 // AWS Kinesis Data Analytics
21:52 // What are Click Streaming and Click Path?
27:28 // Important points for Exam
Please follow we in the links below to stay updated: 🙌
🍀Click on the link below to subscribe: tinyurl.com/qqebnwz
🍀Instagram: / tougherapollo
🍀Twitter: / tougherapollo1
🍀Discord: / discord
Disclaimer: The content provided in the channel are not affiliated in any way to the organization. We provide information here on the channel based on the knowledge we have on the topic. We advise our viewers to please do their own research and read more about them from the source provided by the organization to get a better outlook on the topic that has been covered.
These videos are just to provide you a platform to learn, and there can be mistakes and we are always trying to improve based on your feedback. we recommend viewers to have an open mind. Please support the channel to get more content like these in the future.
#RoadToAWS #AWSSolutionsArchitectAssociate2020 #Pythoholic - Наука та технологія
Timelines for your convenience:
00:00 // Intro
00:46 // Introduction to AWS Kinesis
07:22 // What is Streaming Data?
11:00 // AWS Kinesis Video Streams
14:41 // AWS Kinesis Data Streams
16:42 // AWS Kinesis Data Firehose
20:08 // AWS Kinesis Data Analytics
21:52 // What are Click Streaming and Click Path?
27:28 // Important points for Exam
This man is out here saving the world. Thank you very much for these videos.
I’m simply amazed by the quality of the content. Thank you for making this topic easy to understand.
Very nice presentation. The illustrative diagrams are clean and easy to follow - they are extraordinarily helpful. The closing summary is also well executed. Thanx !
Excellent presentation, easy to understand and the recap at the end is perfect and easy to remember. Very helpful. Thank you, sir
A very good and clear presentation for a beginner like me. Thank you sir!
Presentation is great. Excellent overview of all these services of Kinesis. That what i want, Thanks.
Great presentation !!
Loved the way you presented, kudos !!
because of your video, I am now understanding much deeply, thanks.
Your breakdowns are incredible!
Thanks a lot
Sir, I'm Big fan of you. Very nice presentation and way of teaching the cloud computing.
Thanks prince
Way of explaining is very nice😊👌
You're a Rockstar. Kinesis is an intricate topic but you presented it in a simple and clear manner.
great explanation! I really liked that you used real life examples for deeper understanding kinesis firehose . Suscribed!
Glad you like it. Thanks
This deserves lot of likes and views . Really Good one ✌️.. Is there a dedicated playlist for AWS Data analytics certification/course?
Great explanation.
Great job done
well explained
awesome thank you!!!
Thank you
Thank you for your video.Bro please upload API Gateway video next.
Yeah will do that shortly
Thank you very much for slides and explanation.I am looking for AWS EMR ...when can we expect that video?
Thanks much, i think it should come up after vpc. Just a little waiting time there .
Nice Slides . Very easy to understand .Thank You . What do you use to create these slides MS PPT ?
Thanks much, i just use ppt and my own thought process
I have passed Aws SSA02 exam ...but I Had some doubts in Aws kinesis ...After watching ur vedio I am clear now🙂 Thanks my frienf
Great..✅
Can someone explain the clickstream example at 26:00? I feel like the first component to capture the stream should be Kinesis Data Stream, not the Kinesis Firehose. Can explain the purpose of the Kinesis Firehose there?
d1.awsstatic.com/Products/product-name/diagrams/product-page-diagram_Amazon-Kinesis_Evolve-from-batch-to-real-time-Analytics.d7ed76be304a30be5720fd159469f157e7c09ede.png
way of understanding is too good
great
Sir,
If there is data firehose which can CAPTURE and load real time data into say S3, whats the purpose need of data streams.. KDS captures the real time data.. Data firehose captures and load the real time data.
What is special need of KDS if we have firehose.
Pls reply
Thanks in advance
It depends na, if u need to send it to only s3 and redshift and u only need a managed service you will go for firehose rather than data stream which is manual.
@@Pythoholic Thanks for the response 👍
Hi, How do I put data from Firehose to data analytics? Since data analytics has only S3, Redshift, Opensearch etc as Destinations. Can you please help me ?
docs.aws.amazon.com/firehose/latest/dev/data-analysis.html
Hi,
Thank you for this amazing video, how I can learn how to make such a nice presentation ppt as yours
It's creativity mixed with some patience and a bit of time. Glad you liked it. Practice and u will be better at it day by day
This is more of reading from PPT, if you can post of the inner architecture of the service then it would be great.
Thanks arpit vaish for the feedback , sorry that you felt that way. I will surely try and improve based on the suggestion.
Can you please let me know if we can use Kinesis Video STream for Video calling and conferencing ?
Yes you can, aws.amazon.com/blogs/media/enabling-video-chats-using-amazon-kinesis-video-streams-for-webrtc/
@@Pythoholic Thank you so much
can i get your notes please.or your ppt for
study.
nice thanks. Please highlight again and again - for "incoming" data streams. Not video stream to Netflix - "out going".
isn't it?
yes, it is
I know I use it more.. I will try and reduce it.. 😁
what is the diff between push and loading data?
Do you mean what is the difference between PUSHIN the DATA and LOADING the DATA?
@@Pythoholic yes
Both sounds same
Yeah in most cases its the same thing but
Think of when u are working with a stream of data , where data flow is like a queue, generally we say we pushed the data to the queue
Secondly, let suppose i am speaking about a website data being propagated when i open it, we say the data is getting loaded cause its progressive and we feel
Its a stack of data and we are trying to load it on to the website.
So its more of a representation. But used interchangeably when speaking
@@Pythoholic Thanks
Why all the streams are having different output???video stream is having different set of consumer than data streams. Data stream is having different set of consumers than firehose. How to remebr them????
IT depends on what is the use case, you should not take the pain in recollecting all these things, just the use case should be sufficient to create a mapping between what is the out put and where it can be used.
@@Pythoholic and firehose is the one sending out the output to consumer in every situation, no matter what the use case is?
@@Pythoholic thankyou so much for clarification👍
Can you also let me know if the samples provided in aws side for kinesis can be used for production implementation ? or is there anything that i need to take care of
It always depends on what ur use case is, what are u using kinesis for. Is it data streams or firehose or video streams. If firehose you need to understand where you are pushing the data to like splunk or other tools.
Mostly as kinesis is a standalone service security at transit play a important role. You can always create an endpoint and make use of it but check ensure data at transit is secure. That's what makes it close to a production deployment
@@Pythoholic Thank you for your reply. i am planning to use WebRTC video streaming and create video conferencing application
I see that AWS has provided examples in git. my doubt is whether i can use this with some modifications and added security like cognito.
We can surely use IAM roles to secure permissions and most importantly you need to have a monitor in place. Mostly with video streams you should be concerned about the end user who is trying to access it. So access tokens can be a good option to further enhance it. And I believe when we create it we also.secure the endpoint.
@@Pythoholic Thanks a lot.. This is great.
can we share screen using aws kinesis?
If u can use ur data ie a video and stream that data using kinesis video stream, yes you can do that.
@@Pythoholic ok I will try, thanks
Please try to give real time example.. like you tube, Netflix etc..
I found real time example.. grt thnku
waste of time
Thanks for the feedback