Preparation of data for analysis is an essential part of any analytics system. Expediting this process shortens the time between data capture and insight generation. However, securing, loading, cataloging and processing data are often considered challenging processes to implement.
Watch our How to Build a Secure Data Lake on AWS in Days and hear from Yonatan Dolan from AWS and Darren Brien from AWS APN Advanced Consulting Partner DoiT International, as they explore how AWS Lake Formation provides a set of tools and templates to simplify data analytics through automation.
What you will learn:
The value and characteristics of data lakes on AWS
How to use AWS Lake Formation to simplify building your data lake
How to automate challenging data wrangling tasks and make data analysis simpler
Understand the entire data analytics workflow, from raw data through to insight generation
Machine Learning Engineer, DoiT International
Using appropriate cloud tools to collect, store and analyse data of all sizes.
Enjoys providing insight and helping businesses improve decision making.
Business Development Manager, Big-Data & Analytics, AWS Israel
Yonatan spent most of his carrier at Intel in various positions, from project/product management of high-end technologies products and business development manager of Big-data/AI solutions. Yonatan is a long time user of AWS with over 6 years of experience delivering great products to customers worldwide using AWS cloud
Who is this webinar for?
Engineers and data scientists interested in learning how to make use of the powerful data analytics tools and services available on the AWS platform.
About DoiT International
DoiT International is an AWS APN Advanced Consulting Partner and leading global cloud consulting company. The company helps businesses resolve complex problems of scale with expertise in machine learning, algorithms, complexity analysis, and system design.
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