Hitachi Data Systems Corporation (HDS), a wholly owned subsidiary of Hitachi, Ltd., announced new enhancements to its Hitachi Visualization solution portfolio: Hitachi Visualization Suite 4.5 now with Hitachi Visualization Predictive Crime Analytics (PCA) and Hitachi Video Management Platform (VMP) 2.0.
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Hitachi Data Systems Unveils New Advancements in Predictive Policing to Support Safer, Smarter Societies
Big Data Humor: Do You Have a Hiring Advantage?
Only a data scientist can predict the unpredictable! Download the insideAI News Guide to Scientific Research
Why Data Quality without Data Integrity is No Match for Today’s Business Demands
In this special guest feature, Bobby Koritala, Chief Product Officer of Infogix, discusses data management best practices and why data quality without data integrity is no match for today’s business demands.
OpsDataStore Unveils Solution to Ensure Online Service Quality for Dynamic IT Environments
OpsDataStore, the company delivering a solution to improve online service quality across heterogeneous and rapidly changing applications and IT infrastructures, announced the general availability of OpsDataStore 1.0 — the industry’s first big data back end for all IT management data.
Cloudera Navigator Optimizer Provides Active Data Optimization for Hadoop Workloads
Cloudera, provider of the data management and analytics platform built on Apache Hadoop and the latest open source technologies, announced the availability of Cloudera Enterprise 5.5. This release continues to improve the performance, security, and functionality of analytics on Hadoop and includes the limited beta release of Cloudera Navigator Optimizer for improved workload performance and efficiency.
Argyle Data Outlines Five Key 2016 Predictions for Native Hadoop Applications
Vikash Varma, President and CEO of Argyle Data, a leader in native Hadoop applications for threat analytics in mobile communications, has provided a perspective on the company’s momentum and industry outlook for 2016. Varma’s predictions for substantially accelerated growth are fueled by the growing need for data-driven applications and fraud analytics for the mobile communications industry that run natively on Hadoop.
The Data Science Industry: Who Does What
Our friends over at DataCamp took a look at this avalanche of data science job postings in an attempt to unravel these cool-sounding and playful job titles into a comparison of different data science related careers. The infographic below, “The Data Science Industry: Who Does What”, summarizes the results.
How To Work Through “Analysis Paralysis” And Understand The Difference Between Data Analysis And Data Visualization
In this special guest feature, Collin Sebastian, Chief Product Officer at YouEye observes that the more graphs, maps, reports, and dashboards we use to slice and dice our data, the more time we spend analyzing — and the less time we spend actually making decisions. There’s a solution to this paralysis, and it begins with understanding the difference between data analysis and data visualization.
Talend Survey Reveals Real-Time Big Data Key to Cyber Monday Success
With the holidays rapidly approaching, merchants need strategies to convert digital shoppers. A recent survey from our friends over at Talend found some important online shopping trends.
Apache Spark is the Smartphone of Big Data
In this special guest feature, Denny Lee of Databricks, talks about the versatility of Spark – essentially comparing it to the Swiss Army Knife of on your camping trip, called Big Data/Analytics.