Data Extraction
Are You Making The Most Out Of Your Data Extraction Process?

Data, data and more data. Day in and day out gigabytes of data are churned in. Data is wealth for any business. But are they able to make the most out of the data extraction? That’s a zillion-dollar question. Zillion? Are you reading it right? Yes, of course. As the blog is written in 2022,...

Big Data Quality Issues
Big Data Quality Issues – Addressing the Roadblocks to Achieve Data Supremacy

Big Data quality issues have adverse consequences for any business, ranging from delegitimizing market campaigns and poor customer relations to negatively impacting decision-making. You might also experience stressful situations due to big data quality issues. However, handling inconsistencies and flaws in the data can enhance data analysis abilities and lead to better decision-making. A minimal...

What is Big data
What is Big Data?

Introduction Recently, the amount of data generated has increased significantly, thanks to the growing use of the internet of things (IoT) and smart devices. The data format has also diversified from traditional fixed data to current, less structured data, hence big data. So, what is big data? What are the types of big data? What...

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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