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 ...
Relevance of Big Data
In todayâs world, where operations are entirely dependent on business intelligence and utilize the platform of information warfare for execution of the same, data has become one of the most vital entities for execution of business and it is very ...
Data Lake Showdown: Object Store or HDFS?
The explosion of data is causing people to rethink their long-term storage strategies. Most agree that distributed systems, one way or another, will be involved. But when it comes down to picking the distributed systemâbe it a file-based system like ...
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 ...
MapR 5.0 Hadoop supports real-time applications
With a focus on real-time applications, MapR Technologies took the wraps off the 5.0 version of its Hadoop distribution.
"Eighteen percent of our customers have 50 or more applications running on a single cluster," says Jack Norris, chief marketing officer ...
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, ...