![What is Big Data?](https://www.selecthub.com/wp-content/uploads/2019/05/Big-Data.png)
Resources for Software Selection
Most Popular Articles
Recent Articles
Confidence Comes from Data
Big data analytics software selection is complex and beset with problems for both IT buyers and solution providers. We do three things to make it fast and simple:
FREE Software Selection Platform
Our platform provides best-practices, including requirements templates & vendor comparisons, to help you make the right decisions for your unique needs, in a fraction of the time. Try it FREE.
Aggregated Reviews
We have collected every software review available online, crunched every last word using our proprietary Sentiment Analysis algorithms, all so we can tell you how a software product is viewed in its marketplace, retrospectively.
Professional Analysis
We relentlessly collect and analyze data about software, then compile and share it so every company has the same access to the information. The information we gain is then used in our Software Selection platform to help you find the right software.
Your Guides
Our industry journalists proudly distill the helpful information you read on SelectHub, always on the mission to share what matters so you can make your best decisions independently.
Big data analytics articles are written and edited by:
![Zachary Totah](https://www.selecthub.com/wp-content/uploads/2020/12/zachary-totah.jpg)
As SelectHub’s Content Manager, Zachary Totah leads a team of more than 35 writers and editors in their quest to provide content that helps software buyers find the right system for their company.
![Hunter Lowe](https://www.selecthub.com/wp-content/uploads/2019/08/Hunter-Lowe.jpg)
Hunter Lowe is a Content Editor and Senior Market Analyst at SelectHub. He writes content for Construction, Inventory, Warehouse, and Supply Chain Management.
![Ritinder Kaur](https://www.selecthub.com/wp-content/uploads/2021/06/Ritinder-Kaur-v2.png)
Ritinder Kaur is a Market Analyst who writes content on Business Intelligence, Big Data Analytics, Business Analytics, Embedded Analytics and Enterprise Reporting.
![Conner Martin](https://www.selecthub.com/wp-content/uploads/2021/06/Conner-Martin.jpg)
Conner Martin is a writer and researcher with a passion for communication and education.
Most Recent Articles
Big data ecosystems are like ogres. Big data components pile up in layers, building a stack. It’s not as simple as taking data and turning it into insights. Big data analytics tools instate a process that raw data must go through to finally produce information-driven action in a company. This article breaks it down with the associated roles, courses and certifications. Plus, it has information for software buyers. Which tool should you choose? As the Internet age surges on, we create an unfathomable amount of data every second. So much so that we’ve denoted it simply as big data. Naturally, businesses and analysts want to crack open all the different types of big data for the juicy information inside. But it’s not so simple. The different types leverage varying big data tools and have different complications that accompany working with each individual data point plucked out of the vast ether. In an era where data is king, and big data analytics and related tools are the king of kings, enterprise big data analytics is no longer a differentiator, but a password at the door for some industries. Enterprises in industries like banking, energy, transportation and others rely on big data to not just keep a competitive edge in their markets, but even tread water. Up to 60% of businesses have incorporated big data recently, a number that is sure to have only increased recently. This article delves into a comparative analysis of the two platforms. Though Spark comes out as the winner, we can’t dismiss Hadoop altogether. One of the most rapidly growing technologies in this sphere is business intelligence, and associated concepts such as big data and data mining. Big data mining is another concept that employs collective data mining or extraction techniques that are performed on huge volumes of data. So, you want to add big data tools to your business. And why wouldn’t you? Big data analytics gives you a competitive edge, helps you optimize your operations and gives you a broader overview of your company. However, it’s not as simple as snapping your fingers and telling your staff to implement BDA. Big data integration is a complex process with high rewards. The world of business intelligence software shifted acutely over the past couple of decades. While the overall goal to achieve smarter, optimized business has not changed, the methods of doing so are like baseball players in the Steroid Era: they’ve grown immensely. Two areas of business intelligence, big data and business analytics, are the very definition of this new world of business data.4 Essential Big Data Components for Any Workflow
A Comprehensive Crash Course in Big Data Basics
Business Analytics vs. Data Analytics: What’s the Difference?
What Are The Types Of Big Data?
Features Of Big Data Analytics And Requirements
Enterprise Big Data: A Comprehensive Guide
What is Data Lifecycle Management? Key Components, Stages and Best Practices
What Is Data Management? A Comprehensive Guide
Enterprise data is the linchpin of all business processes — companies around the world build their business strategies on insights derived from numerous, complex data points and big data analytics. Data management refers to end-to-end processes that include the sourcing, ingestion, storage and transformation of proprietary data for business intelligence (BI), reporting and analytics.
Hadoop vs Spark: Who Is The Winner?
BI vs. Big Data vs. Data Mining: A Comparison of the Difference Between Them
The Best Open Source Big Data Tools
The Best Big Data Solutions
Big Data Integration: A Comprehensive Guide
Big Data And Business Analytics: A Comprehensive Guide