AVC
AWS Analytics
AWS Kinesis
AWS Kinesis
Easily collect, process, and analyze video and data streams in real time
2021
Query Your Data Streams in Real Time With Kinesis Data Analytics Studio | Amazon Web Services
Should My Startup use Kinesis or MSK?
How can I put records into an Amazon Kinesis data stream using the KPL?
AWS re:Invent 2020: Top 5 best practices for data streaming with Amazon Kinesis
AWS re:Invent 2020: How Disney+ uses fast data ubiquity to improve the customer experience
AWS re:Invent 2020: Building real-time applications using Apache Flink
AWS re:Invent 2020: Understanding AWS Lambda streaming events
AWS re:Invent 2020: How BT solved for real-time insights with Amazon Kinesis
AWS re:Invent 2020: Zulily drives shopping with Amazon DocumentDB and Kinesis Data Analytics
AWS re:Invent 2020: Deep dive on AWS Lambda consumers for Amazon Kinesis
How to Support Streaming Data in your NET Application with Amazon Kinesis
2020
6:31
Solving with AWS Solutions: AWS Streaming Data Solution for Amazon Kinesis
6:31
6:31
Solving with AWS Solutions: AWS Streaming Data Solution for Amazon Kinesis
6:31
5:20
Amazon Kinesis Data Streams Fundamentals
5:20
6:40
Why Amazon Kinesis Data Streams?
6:40
9:50
Amazon Kinesis Data Streams: Why Streaming Data?
9:50
1:59
Getting Started with Amazon Kinesis Data Streams
1:59
16:47
AWS re:Invent 2019 Launchpad | What's New in Kinesis
16:47
5:09
AWS Solutions: Real-Time IoT Device Monitoring with Kinesis Data Analytics
5:09
2019
58:08
AWS re:Invent 2019: Simplify video streaming for millions of smart home cameras (ANT318-R1)
58:08
1:00:27
AWS re:Invent 2019: [REPEAT 1] Serverless stream processing pipeline best practices (SVS317-R1)
1:00:27
14:10
AWS re:Invent 2019: Managing decisions with Amazon Kinesis for better outcomes (DEM25-S)
14:10
1:01:04
AWS re:Invent 2019: [REPEAT 1] Building a streaming data platform with Amazon Kinesis (ANT326-R1)
1:01:04
20:30
Fluent bit plugins for Amazon Kinesis Firehose and Amazon CloudWatch
20:30
38:06
High Performance Data Streaming with Amazon Kinesis: Best Practices and Common Pitfalls
38:06
2018
5:30
Yieldmo: Transforming User Events into Actionable Data with Amazon Kinesis
5:30
8:28
How do I push VPC flow logs to Splunk using Amazon Kinesis Firehose?
8:28
14:14
Amazon Kinesis Data Analytics for Java applications is now Generally Available
14:14
1:03:07
AWS re:Invent 2018: High Performance Data Streaming with Amazon Kinesis: Best Practices (ANT322-R1)
1:03:07
50:29
AWS re:Invent 2018: Architecting for Real-Time Insights with Amazon Kinesis (ANT310)
50:29
52:53
AWS re:Invent 2018: Bridge OLTP & Stream Processing w/ Kinesis, AWS Lambda, MongoDB Atlas ARC330-S
52:53
59:48
AWS re:Invent 2018: Serverless Video Ingestion & Analytics with Amazon Kinesis Video Streams ANT208
59:48
6:31
How to Create a .NET Based AWS Lambda to Receive Events from an IoT Button and Send Data to Kinesis
6:31
7:09
How many shards are too many shards?
7:09
7:30
Appnext: Kinesis, EMR, Athena, Redshift - Choosing the Right Tool for Your Analytics Jobs
7:30
1:46
Amazon Kinesis Data Firehose の紹介 | AWS (日本語字幕) (1:45)
1:46
6:45
GuiaBolso: Data Ingestion at Scale Using Kinesis Firehose and Kubernetes on AWS (Portuguese)
6:45
45:43
Analyzing Data Streams in Real Time with Amazon Kinesis: PNNL's Serverless Data Lake Ingestion
45:43
1:02:58
AWS Summit SF 2018: Analyzing Data Streams in Real Time with Amazon Kinesis (BDA307)
1:02:58
11:52
Real-Time Machine Learning Using Amazon Kinesis
11:52
47:44
AWS Tel Aviv Summit 2018: Amazon Kinesis – Building Serverless Real-Time Solution
47:44
2017
5:57
Zocdoc: From Monolith, to Less Than 100 ms with Amazon ECS and Kinesis
5:57
15:46
AWS re:Invent Launchpad 2017 - Amazon Kinesis Video Streams
15:46
13:23
AWS re:Invent Launchpad 2017 - Kinesis Firehose to Splunk Integration
13:23
2:11
AWS re:Invent 2017 - AGT Uses Amazon Kinesis for IoT Analytics
2:11
50:29
AWS re:Invent 2017: NEW LAUNCH! Introducing Amazon Kinesis Video Streams (ABD216)
50:29
2:24
AWS re:Invent 2017 - Introducing Amazon Kinesis Video Streams
2:24
1:03:29
AWS re:Invent 2017: Architecting a data lake with Amazon S3, Amazon Kinesis, and Ama (ABD318)
1:03:29
49:08
AWS re:Invent 2017: Analyzing Streaming Data in Real Time with Amazon Kinesis (ABD301)
49:08
35:49
AWS re:Invent 2017: Real-Time Anomaly Detection Using Amazon Kinesis (ABD335)
35:49
6:12
Okta: Scalable Event Processing with Kinesis, Storm, Lambda, and Redshift
6:12
50:00
How Netflix Uses Kinesis Streams to Monitor Applications and Analyze Billions of Traffic Flows
50:00
4:18
Thomson Reuters Product Insight: Real Time Analytics with Kinesis, Lambda and S3
4:18
2016
51:38
AWS re:Invent 2016: Beeswax: Building a Real-Time Streaming Data Platform on AWS (BDM403)
51:38
55:32
AWS re:Invent 2016: Analyzing Streaming Data in Real-time with Amazon Kinesis Analytics (BDM304)
55:32
54:35
AWS re:Invent 2016: Understanding IoT Data: How to Leverage Amazon Kinesis (BDM206)
54:35
45
Amazon Kinesis Firehose Webinar
45
49
Amazon Kinesis Analytics Webinar
49
1:46
Introduction to Amazon Kinesis Firehose
1:46
50:54
Stream Data Analytics with Amazon Kinesis Firehose and Redshift
50:54
45:15
Introduction to Amazon Kinesis Firehose
45:15
1:01:25
AWS New York Summit 2016: Introduction to Amazon Kinesis Analytics - Process Streaming Data with SQL
1:01:25
1:13
Amazon Kinesis Analytics - General Availability
1:13
40:47
AWS Summit Series 2016 | Santa Clara - Streaming Data Processing with Amazon Kinesis
40:47
42:42
Getting Started with Amazon Kinesis | AWS Public Sector Summit 2016
42:42
1:02:11
AWS Summit Series 2016 | Chicago - Getting Started with Amazon Kinesis
1:02:11
56
Amazon Kinesis Firehose | Load Data into Amazon Elasticsearch Domains
56
2015
47:12
AWS re:Invent 2015 | (BDT320) New! Streaming Data Flows with Amazon Kinesis Firehose
47:12
27:10
AWS re:Invent 2015 | (MBL314) How Sonos Leverages Amazon Kinesis
27:10
58:38
AWS re:Invent 2015 | (BDT403) Building Real-time Streaming Applications with Amazon Kineses
58:38
47:23
AWS re:Invent 2015 | (ARC310) Amazon.com's Catalog Contention and Cost with Amazon Kinesis
47:23
2:06
Introducing Amazon Kinesis Firehose
2:06
40:00
AWS Summit Series 2015 | Tel Aviv: Amazon Kinesis
40:00
2014
46:19
AWS re:Invent 2014 | (GAM301) Real-Time Game Analytics with Amazon Kinesis, Redshift, and DynamoDB
46:19
40:05
AWS re:Invent 2014 | (ADV303) MediaMath’s Data Revolution with Amazon Kinesis and Amazon EMR
40:05
48:09
AWS re:Invent 2014 | (SDD405) Amazon Kinesis Deep Dive
48:09
45:09
AWS re:Invent 2014 | (BDT306) Mission-Critical Stream Processing with Amazon EMR and Amazon Kinesis
45:09
2:09
Amazon Kinesis のご紹介（日本語字幕）
2:09
2013
40:47
Amazon Kinesis: Real-time Streaming Big data Processing Applications (BDT311) | AWS re:Invent 2013
40:47
28:27
Introducing Amazon Kinesis: Real-time Processing of Streaming Big Data (BDT103) | AWS re:Invent 2013
28:27
2:09
Introduction to Amazon Kinesis
2:09