Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS

Price: $38.99
(as of Dec 24,2024 22:09:53 UTC – Details)

ASIN ‏ : ‎ B0C1TQMFTS
Publisher ‏ : ‎ Sybex; 1st edition (April 6, 2023)
Publication date ‏ : ‎ April 6, 2023
Language ‏ : ‎ English
File size ‏ : ‎ 43849 KB
Text-to-Speech ‏ : ‎ Enabled
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 385 pages

Data Analytics in the AWS Cloud: Building a Data Platform for BI and Predictive Analytics on AWS

In today’s data-driven world, businesses are constantly seeking ways to extract valuable insights from their data in order to make informed decisions and drive growth. With the rapid growth of data volume and variety, traditional data processing methods are no longer sufficient to handle the complexity and scale of modern data analytics tasks. This is where cloud-based data analytics platforms, such as Amazon Web Services (AWS), come into play.

AWS offers a wide range of services and tools for building a robust data platform for business intelligence (BI) and predictive analytics. By leveraging AWS’s scalable and flexible infrastructure, organizations can easily store, process, and analyze vast amounts of data to uncover hidden patterns and trends that can drive strategic decision-making.

One of the key components of a data platform on AWS is Amazon Redshift, a fully managed data warehouse service that allows users to run complex queries on large datasets with high performance and scalability. Redshift integrates seamlessly with other AWS services, such as S3 for data storage and Glue for data cataloging and ETL (extract, transform, load) processes.

Additionally, AWS offers a suite of analytics services, such as Amazon QuickSight for data visualization and Amazon Machine Learning for building predictive models, that can be integrated with Redshift to create a comprehensive data analytics solution. By combining these services, organizations can gain valuable insights into their data and drive data-driven decision-making across the enterprise.

Overall, building a data platform for BI and predictive analytics on AWS offers organizations the flexibility, scalability, and performance needed to unlock the full potential of their data. With AWS’s powerful suite of data analytics services, businesses can stay ahead of the curve and drive innovation in today’s competitive market landscape.
#Data #Analytics #AWS #Cloud #Building #Data #Platform #Predictive #Analytics #AWS