Big Data 101: A Beginner’s Guide To Big Data terminology
Data science can be confusing enough without all of the complicated lingo and jargon. For many, the terms NoSQL, DaaS and Neural Networking instill nothing more than the hesitant thought, “this sounds data-related.” It can be difficult to tell a ...
5 Enterprise Alternatives to Hadoop
Hadoop's progression from a large scale, batch oriented analytics tool to an ecosystem full of vendors, applications, tools and services has coincided with the rise of the big data market.
While Hadoop has become almost synonymous with the market in which ...
5 Steps for Securing Your Data In Hadoop
Data security remains a top concern for data professionals. To help organizations put up a best defense, Reiner Kappenberger, senior executive focused on big data and Hadoop at HPE Seecurity-Data Security offers five steps on how to best secure data ...
Data Science – The MUST KNOW to become a successful Data Scientist!
Data Science / Data Analytics / Business analytics is all about analyzing the data, which is getting generated through multiple sources. Sources range from traditional databases to satellite signals to sensors in Internet of Things, and the list will go ...
30 Coolest Big Data Business Analytics Vendors
Working with big data remains one of the biggest IT challenges that businesses, government agencies and other organizations face today. It's also one of the biggest opportunities for IT vendors and for solution and strategic service providers. The big data ...
Overview of HADOOP from its very Basic till a Career Path
That cute little yellow elephant that often pops up in your window is the symbol of a technology named as Hadoop. This is a java-based programming framework which helps in processing large sets of data. Today with the rise of ...
How is fault tolerance handled in Spark streaming?
Spark Streaming components
Data model
All data is modeled as RDDs, built by design with lineage of deterministic operations, i.e. any re-computation always leads to the same result. Essentially the same process (however with a different mechanism) as in Hadoop's fault-tolerance for ...
How to perform capacity planning for a Hadoop cluster
The number of machines, and specs of the machines, depends on a few factors: the volume of data (obviously), the data retention policy (how much can you afford to keep before throwing away), the type of workload you have (data ...
5 Big Data Trends Impacting Financial Institutions in 2025
The adoption of industry standards and more mature platforms will shift big data's focus from IT-driven infrastructure projects to business-driven data solutions. Those who adopt big data strategies early and aggressively will realize operational efficiencies and top-line growth.
In 2025, we ...
Tools of a Data Scientist
Unlike your typical programmer, who may use a standardised set of tools, data scientists tend to use a wide array of ever changing tools. This is because the data science landscape is evolving rapidly, with many new tools still far ...