How Apache Spark Programs are Executed
Learn How Apache Spark Programs are Executed

We discussed about the fundamentals of an Apache Spark system including its architecture in the previous blog. We shared the basic differences between Resilient Distributed Datasets and Dataframes. We’ve covered the what and the why, now we are going to discuss about the how. This blog will outline the different steps involved in an Apache...

Introduction to the World of Apache Spark
Introduction To The World Of Apache Spark In Big Data Analytics

InfoWorld defines Apache Spark as a data processing framework that can quickly perform processing tasks on very large data sets, and can also distribute data processing tasks across multiple computers, either on its own or in tandem with other distributed computing tools (Source: InfoWorld).  Apache Spark – The Go-To Data Analytics Engine Apache Spark is...

Poor Quality Data
Major Concerns of Poor-Quality Data & How You Can Avoid Them

Poor data quality is a common problem in almost every organization. Data quality is one of the most critical factors of any data-driven business. Inaccurate, unverified, and inconsistent data can create a lot of problems for any organization. Unreliable data can lead to erroneous decisions, inefficient processes, and low trust from customers or partners. According...

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