Apache

PluralSight – Modeling Streaming Data for Processing with Apache Beam

PluralSight – Modeling Streaming Data for Processing with Apache Beam Bookware-KNiSO
English | Size: 237.94 MB
Category: Tutorial


Streaming data usually needs to be processed real-time or near real-time which means stream processing systems need to have capabilities that allow them to process data with low latency, high performance and fault-tolerance. In this course, Modeling Streaming Data for Processing with Apache Beam, you will gain the ability to work with streams and use the Beam unified model to build data parallel pipelines

PluralSight – Exploring the Apache Beam SDK for Modeling Streaming Data for Processing

PluralSight – Exploring the Apache Beam SDK for Modeling Streaming Data for Processing Bookware-KNiSO
English | Size: 467.36 MB
Category: Tutorial


Apache Beam is an open-source unified model for processing batch and streaming data in a parallel manner. Built to support Google’s Cloud Dataflow backend, Beam pipelines can now be executed on any supported distributed processing backends.

PluralSight – Deploying Apache Pulsar to Google Kubernetes Engine

PluralSight – Deploying Apache Pulsar to Google Kubernetes Engine Bookware-KNiSO
English | Size: 266.60 MB
Category: Tutorial


Apache Pulsar has a messaging system with a cool architecture that is incredibly powerful to meet your needs. It is arguable that it is even more powerful if you have it running on Google Kubernetes Engine. Both systems together can provide incredible scalability and fault tolerance allowing you to scale your existing business or to open new possibilities for products that do not exist today. In this course, Deploying Apache Pulsar to Google Kubernetes Engine you ll learn to stand up Apache Pulsar onto a system that can scale. First, you ll explore the pros and cons of Apache Pulsar compared to Apache Kafka. Next, you ll discover installing, configuring, and managing Apache Pulsar on Google Kubernetes Engine. Finally, you ll learn how to create producers and consumers that will utilize your Apache Pulsar system. When you re finished with this course, you ll have the skills and knowledge of running Apache Pulsar on Google Cloud which is needed to build a powerful messaging system that can horizontally scale around the world

Lynda – PHP – Clean URLs on Apache Server

Lynda – PHP – Clean URLs on Apache Server
English | Size: 236.76 MB
Category: Tutorial


Clean URLs are great. They’re elegant, easier to remember, and more user friendly than dynamic URLs. But the primary reason to use clean URLs is for SEO: to make it easier for search engines to index your site. This translates to better search results and increased page visits. Find out how to reap the benefits of clean URLs in your PHP code, in this course with PHP expert David Powers.

Pluralsight – Data Modelling With Apache Cassandra

Pluralsight – Data Modelling With Apache Cassandra-NOLEDGE
English | Size: 146.76 MB
Category: Tutorial


Notes: Big Data LDN 2019 | Data Modelling with Apache Cassandra | Patrick Callaghan
Any data science initiative depends on data to work. That data has to be modeled and managed well in order to get value out of it. However the approach we take around data modelling can be influenced by the ways that we store data over time Understanding this in advance can make it easier to get to answers from our data and also avoid problems caused by bad decisions or overlooking data modelling at the start. In this session, you will learn about applying data modelling based on taking concepts through to logical workflows and understand how to implement a data model on Apache Cassandra