The editors at Solutions Review have compiled this list of the best Pluralsight big data courses (top-rated) to consider taking.
Big data skills are in high demand among organizations that are looking to use their collected data to generate valuable business insight. The pandemic and subsequent ‘new normal’ of remote work are furthering demands for these skills. Many are turning to online learning platforms to up their game and acquire the big data skills most likely to help them stand out. And whether you are looking to acquire those skills for work or for play, this collection of Pluralsight big data courses will help you learn the ropes so you can pilot some of the most widely used tools in no time!
With this in mind, the editors at Solutions Review have compiled this list of the best Pluralsight big data courses to consider taking. The platform is perfect for those looking to take multiple courses or acquire skills in different areas, or for those who want the most in-depth experience possible through access to Pluralsight’s entire course library or learning paths. In sum, Pluralsight offers more than 7,000 expert-led video courses.
Note: Our editors assembled this directory by listing top-rated Pluralsight big data courses in the most popular associated coverage areas including Hadoop, data warehousing, ETL (Extract, Transform, Load), Cloudera, Apache Cassandra, data management, and MuleSoft.
Description: This course, The Building Blocks of Hadoop HDFS, MapReduce, and YARN, gives you a fundamental understanding of the building blocks of Hadoop: HDFS for storage, MapReduce for processing, and YARN for cluster management, to help you bridge the gap between programming and big data analysis. By the end of this course you’ll have gained a strong understanding of the building blocks needed in order for you to use Hadoop effectively.
Related paths/tracks: SQL on Hadoop – Analyzing Big Data with Hive, Understanding the MapReduce Programming Model, Creating Your First Big Data Hadoop Cluster Using Cloudera CDH, Getting Started with HBase: The Hadoop Database, Data Science & Hadoop Workflows at Scale With Scalding
Description: In this course, you’ll see concrete examples which clearly illustrate these terms. Finally, you will see a sample implementation of a DW/BI project with SQL Server. As a DBA, database designer, or report developer the skills in this course will help you create and work with your data warehouse. If you are a project manager or business user, understanding how your data warehouse works will allow you to communicate your needs clearly with your development team to get the most from your business intelligence solutions.
Related paths/tracks: Architecting Data Warehousing Solutions Using Google BigQuery, SSIS Design Patterns for Data Warehousing, Plan for Data Warehousing with Microsoft Azure, Implementing a Cloud Data Warehouse in Microsoft Azure Synapse Analytics
Description: In this course, Building Your First ETL Pipeline Using Azure Databricks, you will gain the ability to use the Spark-based Databricks platform running on Microsoft Azure, and leverage its features to quickly build and orchestrate an end-to-end ETL pipeline. And all this while learning about collaboration options and optimizations that it brings, but without worrying about the infrastructure management.
Description: This course is designed for professionals with experience ranging from zero to already skilled professionals. Hands-on sessions cover the end-to-end setup of a Cloudera Cluster (using AWS EC2 instances to deploy the cluster). This training is targeted toward software engineers, system analysts, database administrators, DevOps engineers, and system administrators. Other IT professionals can also take the course, but might have to do some extra work to understand some of the advanced concepts.
Related path/track: Developing Spark Applications Using Scala & Cloudera
Description: In this course, you will learn about the brief history of Cassandra and how to use Docker to stand-up a Cassandra cluster. First, you will discover replication strategies and Cassandra’s support for “tunable consistency.” Then, you will be introduced to CQL along with tables, keyspaces, and common datatypes. Next, you will explore primary keys and how they can be made up of both partition keys as well as clustering keys. Finally, you will look at secondary indexes, batches, and lightweight transactions.
Related path/track: Applying the Lambda Architecture with Spark, Kafka, and Cassandra
Description: In this course, ZDNet’s big data correspondent Andrew Brust teaches you all about big data. This course will get you up and running with the definitions and technologies you need to know, and the vendors you need to know about. By the end of the course, you’ll know what big data is, how it can integrate with conventional database and Business Intelligence (BI) technologies, and how to devise a strategy for adopting big data in your organization.
Related paths/tracks: Big Data on Amazon Web Services, Big Data on AWS: The Big Picture, Real World Big Data in Azure, SQL Big Data Convergence – The Big Picture, SQL on Hadoop – Analyzing Big Data with Hive, Big Picture: Enterprise Data Management
Description: In this course, you will learn about the various disciplines of data management. First, you will discover what data governance is and how you might want to implement a governance program for your organization. Next, you will cover data modeling and data architecture, including the topics of MDM and Blockchain technology. Then, you will explore the disciplines of database administration and data development.
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