AWS Data Lake Tutorial – Building a Data Lake on AWS
A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed and consumed by diverse groups within an organization.
In this video, you’ll learn how to:
— Easily build a data lake environment on the AWS Cloud in minutes
— Load large volumes of disparate data into Amazon S3 without writing code
— Rapidly integrate your data lake with Amazon Redshift for analytics
Today’s organisations require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lake is a new and increasingly popular way to store all of your data, structured and unstructured, in one, centralised repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
In this session we will discover how AWS gives you fast access to flexible and low-cost IT resources, so you can rapidly scale and build your data lake that can power any kind of analytics such as data warehousing, clickstream analytics, fraud detection, recommendation engines, event-driven ETL, serverless computing, and internet-of-things processing regardless of volume, velocity and variety of data.
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