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Data Mining for Business Analytics

Data mining for business analytics allows companies to comb through large data sets to identify patterns and relationships that point to solutions.

What is Retail Analytics?

Retail analytics provides analytical data on supply chain status, inventory consumer, sales, demand trends and other data points that are business-critical.

Leveraging Data Analytics in Finance to Drive Growth

Organizations are using data analytics in finance to more effective target prospects, boost the customer experience, improve processes, and become more competitive.

Genomic Data

Genomic data is the DNA data of organisms. In the biology and computer science subdiscipline of bioinformatics, genomic data is collected, stored, and processed.

How a Data Ingestion Framework Powers Big Data Usage

A data ingestion framework is a process for transporting data from various sources to a storage repository or data tool. How you ingest data will vary by use case..

Database Normalization for Faster Data Science

Database Normalization: benefits and methods explained. Learn how normalizing data optimizes data science processes.

Data Mining Tools

Data mining tools are software solutions that use computer science to process data, aggregating and analyzing data to find patterns and bring forward the most pertinent information quickly. Learn more.

SQL Versus NoSQL: What’s the Difference?

Comparison for SQL vs. NoSQL databases, including the benefits of each type. Gain insights into when to use NoSQL and SQL to make informed data decisions.

Enjoy the Benefits of Apache Spark DataFrames While Eliminating Drawbacks

There are challenges associated with using Spark DataFrames. In this post, we take a look at the challenges and explore ways to overcome them.