Fast Data Processing Systems with SMACK stack [Video]

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Fast Data Processing Systems with SMACK stack [Video]

Raúl Estrada Aparicio

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Build data processing platforms that can take on even the hardest of your data troubles!

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Video Details

ISBN 139781788298452
Course Length6 hours and 30 minutes

Video Description

SMACK is an open source full stack for big data architecture. It is a combination of Spark, Mesos, Akka, Cassandra, and Kafka. This stack is the newest technique developers have begun to use to tackle critical real-time analytics for big data. This highly practical tutorial will teach you how to integrate these technologies to create a highly efficient data analysis system for fast data processing.We’ll start off with an introduction to SMACK and show you when to use it. First you’ll get to grips with functional thinking and problem solving using Scala. Next you’ll come to understand the Akka architecture. Then you’ll get to know how to improve the data structure architecture and optimize resources using Apache Spark. Moving forward, you’ll learn how to perform linear scalability in databases with Apache Cassandra. You’ll grasp the high throughput distributed messaging systems using Apache Kafka. We’ll show you how to build a cheap but effective cluster infrastructure with Apache Mesos. Finally, you will deep dive into the different aspects of SMACK using 2 practical case studies. By the end of the video, you will be able to integrate all the components of the SMACK stack and use them together to achieve highly effective and fast data processing.

Style and Approach

With the help of various industry examples, you will learn about the full stack of big data architecture, taking the important aspects in every technology. You will learn how to integrate the technologies to build effective systems rather than getting incomplete information on single technologies. You will learn how various open source technologies can be used to build cheap and fast data processing systems with the help of various industry examples.

Table of Contents

An Introduction to SMACK
The Course Overview
Modern Data-Processing Challenges
The Data-Processing Pipeline Architecture
SMACK Technologies
Understanding Data Expert Profiles and Changing the Data Center Operations
The Language – Scala
Scala Collections
Iterators in Scala
More Functions with Scala
The Model – Akka
Actor Model In a Nutshell
Working with Actors
The Engine – Apache Spark
Spark Concepts
Resilient Distributed Datasets
Spark in Cluster Mode
Spark Streaming
The Storage – Apache Cassandra
NoSQL
Apache Cassandra Installation
Backup and Compression
Recovery Techniques
Recovery Techniques – DBMS Optimization, Bloom Filter, and More
The Spark Cassandra Connector
Connectors – Spark, Cassandra, and Akka
Introduction to the Spark Cassandra Connector
Cassandra and Spark Streaming Basics
Functions with Cassandra
Akka and Cassandra
The Broker – Apache Kafka
Introducing Kafka
Installation
Cluster
Architecture
Producers
Consumers
Integration and Administration
Connectors – Akka, Spark, Kafka, and Cassandra
Akka, Spark, and Kafka
Kafka and Cassandra
The Manager – Apache Mesos
The Apache Mesos Architecture
Resource Allocation
Running a Mesos Cluster on a Private Data Center
Scheduling and Managing the Frameworks
Apache Aurora
Singularity
Apache Spark on Apache Mesos
Apache Cassandra on Apache Mesos
Apache Kafka on Apache Mesos

What You Will Learn

  • Design and implement a fast data Pipeline architecture
  • Think and solve programming challenges in a functional way with Scala
  • Learn to use Akka, the actors model implementation for the JVM
  • Make on memory processing and data analysis with Spark to solve modern business demands
  • Build a powerful and effective cluster infrastructure with Mesos and Docker
  • Manage and consume unstructured and No-SQL data sources with Cassandra
  • Consume and produce messages in a massive way with Kafka

Authors

Table of Contents

An Introduction to SMACK
The Course Overview
Modern Data-Processing Challenges
The Data-Processing Pipeline Architecture
SMACK Technologies
Understanding Data Expert Profiles and Changing the Data Center Operations
The Language – Scala
Scala Collections
Iterators in Scala
More Functions with Scala
The Model – Akka
Actor Model In a Nutshell
Working with Actors
The Engine – Apache Spark
Spark Concepts
Resilient Distributed Datasets
Spark in Cluster Mode
Spark Streaming
The Storage – Apache Cassandra
NoSQL
Apache Cassandra Installation
Backup and Compression
Recovery Techniques
Recovery Techniques – DBMS Optimization, Bloom Filter, and More
The Spark Cassandra Connector
Connectors – Spark, Cassandra, and Akka
Introduction to the Spark Cassandra Connector
Cassandra and Spark Streaming Basics
Functions with Cassandra
Akka and Cassandra
The Broker – Apache Kafka
Introducing Kafka
Installation
Cluster
Architecture
Producers
Consumers
Integration and Administration
Connectors – Akka, Spark, Kafka, and Cassandra
Akka, Spark, and Kafka
Kafka and Cassandra
The Manager – Apache Mesos
The Apache Mesos Architecture
Resource Allocation
Running a Mesos Cluster on a Private Data Center
Scheduling and Managing the Frameworks
Apache Aurora
Singularity
Apache Spark on Apache Mesos
Apache Cassandra on Apache Mesos
Apache Kafka on Apache Mesos

Video Details

ISBN 139781788298452
Course Length6 hours and 30 minutes
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