Explore how to implement containers and data management on popular cloud platforms like AWS and GCP. Planning big data solutions, disaster recovery, and backup and restore in the cloud are also covered.
Using a hands-on lab approach, explore how to use Amazon Redshift to set up and configure a data warehouse on the cloud. Discover how to interact with the Redshift service using both the console and the AWS CLI.
Explore the loading of data from an external source such as Amazon S3 into a Redshift cluster, as well as the configuration of snapshots and the resizing of clusters. Discover how to use Amazon QuickSight to visualize data.
For effective data wrangling, you need an architecture that will enable you to meet your goals. In this Skillsoft Aspire course, you will explore the concept of Serverless, Lambda architecture and process implementation using Serverless and Lambda architecture. We will also explore the various types of data architecture, data risks and the essential data discovery processes.
For effective data wrangling, you need an architecture that will enable you to meet your goals. In this Skillsoft Aspire course, you will explore various types of data architecture and implementation of strategies using NoSQL, CAP theorem, and partitioning to improve performance.
Data architecture is a foundation that you need to understand in your data science journey. This is a high-level concept that typically is made up of models, policies, rules or standards that determine how and what data is collected, stored, arranged, integrated, and the put into use within an organization. In this Skillsoft Aspire course, you will explore how we…
Spark is an analytics engine built on Hadoop that can be used for working with big data, data science and processing batch and streaming data. In this course you will explore the fundamentals of working with streams using Spark.