Data

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]

[FreeCoursesOnline Me] PacktPub – Real-Time Data Stream Processing in Azure [Video]
English | Size: 842.73 MB
Category: Tutorial


A modern digital company captures a large amount of data every day. This data gets locked in data islands such as caches, queues, and logs, and extracting this data and making it useful poses a major challenge. Real-time data processing is the most effective alternative to traditional extract, transform, and load (ETL) processes. This course will help you to think of data as an ever-flowing stream of events instead of data as islands locked away in databases.

[Update Links] PluralSight – Building Data driven Apps with AWS AppSync

PluralSight – Building Data driven Apps with AWS AppSync Bookware-KNiSO
English | Size: 127.16 MB
Category: Tutorial


Release Notes: Modern applications consume data from many different sources before displaying it to the user. Consuming many data sources means more upfront work to build an application and more potential breaking points. Also, security and permission become harder and harder to manage. In this course, Building Data-driven Apps with AWS AppSync, you ll learn how to leverage the power of AppSync to unify all your data sources so they can be accessed through one central place. First you ll explore how to create APIs and Data Sources via AppSync. Next, you’ll learn how to configure the Javascript AppSync client with our backend to query and mutate data via GraphQL APIs. Finally, you ll discover how to use Amplify Datastore to store data locally when users are offline, and sync the data when an internet connection becomes available By the end of this course, you’ll be able to build a data-driven application with realtime and offline support and build in authentication using AWS AppSync

PluralSight – Handling Streaming Data with Azure Databricks Using Spark Structured Streaming

PluralSight – Handling Streaming Data with Azure Databricks Using Spark Structured Streaming Bookware-KNiSO
English | Size: 235.66 MB
Category: Tutorial


In this course, you will deep-dive into Spark Structured Streaming, see its features in action, and use it to build end-to-end, complex & reliable streaming pipelines using PySpark. And you will be using Azure Databricks platform to build & run them