R could add potential benefits to help the data engineering community. Let’s discuss about Why R for Data Engineering is More Powerful Than You Thought.
Why R for Data Engineering is More Powerful Than You Thought Read More »
I want to share 5 hidden facts about Apache Spark that I learned throughout my career. Those can be helpful to you to save you some time reading the Apache Spark source code.
5 Hidden Apache Spark Facts That Fewer People Talk About Read More »
We will discuss a neglected part of Apache Spark Performance between coalesce(1) and repartition(1), and it could be one of the things to be attentive to when you check the Spark job performance.
Uncovering the Truth About Apache Spark Performance: coalesce(1) vs. repartition(1) Read More »
The data engineering space is evolving. Here are the resources I collected for practical data engineering resource.
The Practical Data Engineering Resource Read More »
How to find the best deals and coupons promptly can save you money and time. We can quickly build a weekend project that automatically finds the best deals on time with R and Mage
How to Find the Best Deals On Time with R and Mage Read More »
Many diagrams bring less excitement to work with and view as the final result. I will share 4 free fantastic diagramming tools to make yours stand out.
4 Free Fantastic Diagramming Tools To Make Yours Stand Out Read More »
Using R and Shiny, we can build an app where the end users can interact with the data analysis we have done. I will show you how to engage with users by storytelling - show data analytics in R and Shiny.
How to Engage with Users By Storytelling: Show Data Analytics in R and Shiny Read More »
I will share my journey on using R for Data Analysis: building an end-to-end solution for exploring trending Cocomelon videos using R from scratch.
R For Data Analysis: How to Find the Perfect Cocomelon Video for Your Kids Read More »
Is streaming data necessary for this particular use case? Rather than blindly diving in, it’s essential first to acknowledge the realities of working with streaming data.
Streaming Data Is Exciting: What You Need to Know Before Taking the Plunge Read More »
Discover the Essential Reading List for Data Engineers: 10 Classic Books You Can’t Miss. While many free online resources are available, they often lack the depth and context needed to truly master the field. In this article, I will share ten classic books that cover everything from fundamental technical skills like Python and SQL, to more advanced topics like Apache Spark, Apache Flink, Apache Beam, Apache Airflow, Kubernetes, distributed systems, and dimensional modeling.
The Essential Reading List for Data Engineers: 10 Classic Books You Can’t Miss Read More »
