project-use-case orchestrating-an-etl-process-using-aws-step-and-glue-functions 
Towards Data Science
APRIL 6, 2023
But, instead of GCP, we’ll be using AWS. AWS is, by far, the most popular cloud computing platform, it has an absurd number of products to solve every type of specific problem you imagine. So, join me on this post to develop a full data pipeline from scratch using some pieces from the AWS toolset. not sponsored.
ProjectPro
DECEMBER 7, 2021
This blog will give you an in-depth knowledge of what is a data pipeline and also explore other aspects such as data pipeline architecture, data pipeline tools, use cases, and so much more. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases.
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ProjectPro
JULY 23, 2021
AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Table of Contents What is AWS?
ProjectPro
FEBRUARY 21, 2023
AWS or Azure? Whether you are just starting your career as a Data Engineer or looking to take the next step, this blog will walk you through the most valuable data engineering certifications and help you make an informed decision about which one to pursue. Cloudera or Databricks?
ProjectPro
FEBRUARY 8, 2023
Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Well, AWS Glue is the answer to your problems!
ProjectPro
JUNE 16, 2022
An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. Generally, it consists of three key elements: a source, processing step(s), and destination to streamline movement across digital platforms. AWS CLI is an excellent tool for managing Amazon Web Services.
ProjectPro
AUGUST 24, 2021
Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project. Most recruiters look for real-world project experience and shortlist the resumes based on hands-on experience working on data engineering projects.
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