Introduction to Content Preparation & Transcoding

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Create an data ingest feed using Kylo that ingest data from a flat file, applies cleansing and validation rules and brings it cheap binary options indicator evarts fast and easy hadoop. Continue on with data wrangling and learn more advanced functions and things you can do with the Kylo data wrangler. Learn how to export a feed from one environment and import it into another environment.

Watch a summary video that explores many features of Kylo including designing and registering templates, data ingestion, and data wrangling. This is an introductory tutorial on the concept of templates in Kylo. This tutorial shows how to modify the default Kylo ingest template to add Kafka support. This tutorial looks at techniques for creating modular feeds used as services and invoked by other feeds. This advanced tutorial demonstrates how to take advantage of Apache NiFi routing and NiFi expressions to make templates more general purpose.

Introduction video ingestion this tutorial shows how introduction video ingestion configure and run Sqoop based ingestion in Kylo. This specific video shows template registration. Learn how to configure and run a Sqoop based introduction video ingestion in Kylo.

This video part 2 shows how to create a feed that ingests a table for each run. Extend upon the previous Sqoop video and learn more about how to configure it with Kylo. Training videos for different organization roles. Become a Kylo ninja! Creating a Data Ingest Feed Create an data ingest feed using Kylo that ingest data from a flat file, applies cleansing and validation rules and brings it into hadoop. How to Wrangle Data Part 1 Learn how to easily transform and prepare data.

How to Wrangle Introduction video ingestion Part 2 Continue on with data wrangling and introduction video ingestion more advanced functions and things you can do with the Kylo data wrangler. Import and Export Feeds Learn how to export a feed from one environment and import it into another environment. More Features Watch a summary introduction video ingestion that introduction video ingestion many features of U s best binary options signals brokers 2015 including designing and registering templates, data ingestion, and data wrangling.

Introduction to Templates This is introduction video ingestion introductory tutorial on the concept of templates in Kylo. How to Modify an Existing Template This tutorial shows how to modify the default Kylo ingest template to add Kafka support.

Connecting to a Reusable Flow Learn how to create a simple feed based template and connect it to a reusable flow. How to Create Modular Flows This tutorial looks at techniques for creating modular feeds used as services and invoked by other feeds. Design a Data Confidence Feed Learn how to design and create a custom data quality validation using Kylo. Design a Feed with Preconditions Learn how to design a flow that depends upon the completion of another feed. Kylo Installation Learn how to install Kylo.

Encrypting Properties Learn how to encrypt configuration properties. Best Practices Learn patterns and best practices for using and supporting Kylo.

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Cell phones, security cameras, baby monitors, drones, webcams, dashboard cameras, and even satellites can all generate high-intensity, high-quality video streams. Homes, offices, factories, cities, streets, and highways are now host to massive numbers of cameras.

Dealing with this flood of video data can be challenging, to say the least. Incoming streams arrive unannounced, individually or by the millions. The stream contains valuable, real-time data that cannot be deferred, paused, or set aside to be dealt with at a more opportune time.

Once you have the raw data, other challenges emerge. Storing, encrypting, and indexing the video data all come to mind.

You now have the power to ingest streaming video or other time-encoded data from millions of camera devices without having to set up or run your own infrastructure. Kinesis Video Streams accepts your incoming streams, stores them durably and in encrypted form, creates time-based indexes, and enables the creation of vision-enabled applications. You can process the incoming streams using Amazon Rekognition Video, MXNet , TensorFlow OpenCV, or your own custom code, all in support of the the cool new robotics, analytics, and consumer apps that I know you will dream up.

We manage all of the infrastructure for you. First, you use our Producer SDK device-side to create an app and then send us video from the device of your choice. Next, you use the Video Streams Parser Library cloud-side to consume the video stream and to extract value from it. Regardless of how much you send — low resolution or high, from one device or from millions — Kinesis Video Streams , will scale to meet your needs.

You can, as I never get tired of saying, focus on your application and on your business. Producer — A producer is a data source that puts data into a stream.

It could be a baby monitor, a video camera on a drone, or something more exotic: Stream — A stream allows you to transport live video data, optionally store it, and make it available for real-time or batch consumption.

Streams can also carry other types of time-encoded data including audio, radar, lidar , and sensor readings. Multiple independent applications can consume and process data from a single stream. Consumer — A consumer gets data fragments or frames from a stream and processes, analyzes, or displays it. Consumers can run in real-time or after the fact, and are built atop the Video Streams Parser Library. However, you can create streams manually for test or demo purposes, or if you need a small, fixed number of them.

I can uncheck Use default settings if I want to customize my stream most of the settings can be changed later:. My stream is ready for use immediately. The console will display video as soon as I start to stream it:. The Kinesis team shared this screen with me; I did not have time to take a field trip. Does that make me a Cheetah? The app runs on the device or out in the field, and is responsible for creating a stream and then posting a stream of fragments each typically represent 2 to 10 seconds of video to the stream by making calls to the PutMedia function.

GetMedia is intended to be used continuous streaming with very low latency; GetMediaFromFragment list is batch-oriented and allows selective processing. Pricing is based on three factors: I simply enter the name of my stream and click on Create stream: I can uncheck Use default settings if I want to customize my stream most of the settings can be changed later: The console will display video as soon as I start to stream it: