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Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions


Price: $44.99 – $27.00
(as of Dec 26,2024 15:52:38 UTC – Details)


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Packt is a leading publisher of technical learning content with the ability to publish books on emerging tech faster than any other.

Our mission is to increase the shared value of deep tech knowledge by helping tech pros put software to work.

We help the most interesting minds and ground-breaking creators on the planet distill and share the working knowledge of their peers.

Publisher ‏ : ‎ Packt Publishing (March 29, 2024)
Language ‏ : ‎ English
Paperback ‏ : ‎ 332 pages
ISBN-10 ‏ : ‎ 1837636451
ISBN-13 ‏ : ‎ 978-1837636457
Item Weight ‏ : ‎ 1.28 pounds
Dimensions ‏ : ‎ 0.88 x 7.5 x 9.25 inches


Analytics engineering is a growing field that focuses on building end-to-end analytics solutions to help businesses make data-driven decisions. In this post, we will explore the fundamentals of analytics engineering and how it can help organizations leverage their data to drive success.

Analytics engineering involves the collection, processing, and analysis of data to extract valuable insights that can inform decision-making. This includes everything from data collection and cleaning to building sophisticated models and visualizations.

One of the key aspects of analytics engineering is data engineering, which involves designing and implementing data pipelines to efficiently collect, store, and process data. This is essential for ensuring that data is clean, accurate, and readily accessible for analysis.

Another important component of analytics engineering is data analysis, which involves using statistical and machine learning techniques to uncover patterns and trends in the data. This can help organizations identify opportunities for growth, optimize operations, and mitigate risks.

Visualization is also a crucial aspect of analytics engineering, as it allows stakeholders to easily interpret and communicate the insights derived from the data. By creating interactive dashboards and reports, organizations can gain a deeper understanding of their data and make informed decisions.

In conclusion, analytics engineering is a powerful tool for organizations looking to harness the power of their data. By building end-to-end analytics solutions, businesses can gain valuable insights that drive success and innovation. Stay tuned for more posts on advanced analytics engineering techniques and best practices.
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