Things You Should Know About Big Data
People using Big Data need to know certain things about it, especially the technologies and architecture. Understanding the biggest challenges while implementing the processes related to Big Data in their storage environments.
After its arrival on the scenario, for some times ...
Top 5 Trends in Big Data Analytics
While the majority people understand that companies are empowered by actionable information penetrations and help drive sales, devotion and exceptional customer experiences, thinking of making sense of enormous quantities of information and undertaking the job of unifying is daunting. But ...
Importance of Big Data Analytics for Business Growth
Until recent years companies have always evaded the question of using data analytics for business execution, leave alone big data. Most of the time it was due to cost of analysis that the organisations kept in mind while keeping away ...
BI Professionals Spend 50-90% of Their Time âCleaningâ Raw Data for Analytics
Last year, the NYT shined a light on big dataâs âjanitorâ problem â that data scientists and business intelligence pros spend too much time cleaning, not evaluating data. But how big of an issue is it, really?
Xplenty just wrapped a commissioned study of ...
4 Considerations When Choosing a Hadoop Distribution
Choosing the right Hadoop distribution can be a tricky process. Many businesses looking to adopt Hadoop in their data infrastructure have a hard time figuring out what really differentiates one distribution from another. With so many options available, itâs easy ...
LinkedIn fills another SQL-on-Hadoop niche
Social networks generate colossal amounts of data that have come to defy the use of conventional data-processing tools, so it's no wonder their engineering teams have built their own toolsets -- such as Facebook and its machine-learning tools.
Enter LinkedIn, now ...
Top 10 Big Data Security Considerations
As organizations gather and manage more and more big data, here are 10 best practices to protect all of that information from hackers and cyber breaches.
Think Even Bigger
Before we dive into security for specific big data platforms (like Hadoop, ...
7 Ways to Get Ready for the Big Data of the Future
Data science is in the midst of transformation, with Big Data technologies starting to significantly encroach on the market share of traditional RDBMSs (relational database management systems). Spending worldwide on Big Data is forecast to hit $114 billion by 2018, ...
Apache Drill 1.0 is Now Generally Available
Today, we are extremely excited and proud to announce the general availability (GA) of Apache Drill 1.0, as part of the MapR Distribution. Congratulations to the Drill community on this significant milestone and achievement!
Incubated in September 2012 as an Apache ...
9 Questions to Ask Before Kicking off any Big Data Project
What do you get when you combine rebranded analytics systems, a minefield of consultants turned âbig data experts,â and insanely expensive âbig data serversâ that look suspiciously similar to commodity machines?
You get: the most complicated space for any business or ...