TDWI Report: Filling the Demand for Data Scientists: A Five-Point Plan
With the emerging shortage of data scientists, enterprises must create the opportunity for existing data analysts, BI analysts and business analysts to acquire the skills they need to become big data analysts.
Minimizing the Five Latencies in the Analytics Process
The Bloor Group discusses how Actian's Dataflow empowers today’s data analyst and what five latencies need to be considered in the analytics process.
Operationalizing the Buzz: Big Data 2013
EMA breaks down surveyed responses to show that it is imperative that innovative companies mature along with Big Data if they want to remain in the game.
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Customer Brochure: Actian’s Big Data 2.0 Customer Successes
Big Data is like a force of nature, a vast and uncharted ocean of business insight so valuable that it’s become the new currency of our global economy. Learn how Actian is helping customers large and small navigate big data 2.0 challenges and use the power of predictive analytics to deliver real business value.
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Predictive Apps are the Next Big Thing in Customer Engagement
This report introduces predictive apps and advises application development and delivery (AD&D) professionals on how to prepare for this new model of predictive apps — an era that will take digital disruption to its most logical and necessary extreme: a world of hyperindividual experience.
Evolving Data Warehouse Architectures In the Age of Big Data
Given the rising complexity, data warehouse architecture is more critical than ever in order to make sense of, govern, and optimize the complicated multi-platform DWEs that many user organizations are building. To help users prepare for new DW architectures, this report quantifies trends in data warehouse architectures and catalogs newly available, relevant technologies. The report also documents how successful organizations are evolving their architectures to leverage new business opportunities for big data.
Gartner Data Warehouse Database Management Systems Magic Quadrant Highlights
This report highlights Actian’s positioning in the 2014 Gartner Magic Quadrant including coverage of Quadrant criteria, Gartner’s view of Actian’s Strengths and Cautions, and Gartner’s view of Actian’s competitor’s Strengths and Cautions.
Evolution to Revolution: Big Data 2.0
Big Data 2.0 has arrived and early adopters of Big Data 1.0 strategies are challenged. The evolution and innovation surrounding Big Data and Hadoop is happening quickly and a new level of sophistication is required to meet these needs. Read about the four major trends that are causing the industry to evolve at a faster rate than many believed possible.
Actian SQL in Hadoop: A Technical Overview
Actian SQL in Hadoop continues the legacy of cutting edge innovation to bring record beating performance, unique update capabilities, YARN resource management and distributed SQL query processing to Hadoop.
451 Research Report: Actian joins SQL-on-Hadoop crowd with Actian Analytics Platform – Hadoop SQL Edition
Matt Aslett provides his thoughts on Actian’s latest platform announcements including integration with the R statistical analytic language and SQL data processing on Hadoop, giving Actian the opportunity to claim maturity and performance advantages.
Actian Analytics Platform: Creating Transformational Value: A Business Overview
Beyond blazing speed and expansive functionality, learn what the Actian Analytics Platform can do for your organization and how it can be used to create transformational value in areas like customer delight and sustained competitive advantage.
Increase Your Analytics Proficiency: Making the Move From Analytics to Data Science
In this whitepaper, Neil Raden of Hired Brains defines what the elusive terms “data science” and “data scientist” actually mean and how to staff your company successfully with a distribution of roles rather than relying on one professional.
TDWI Best Practices Report: Business-Driven Business Intelligence and Analytics
This TDWI Best Practices Report explores key drivers behind the trend toward “business driven,” rather than IT-driven BI and analytics and examines how organizations are both taking advantage of it and realigning business-IT collaboration to avoid pitfalls.
The Four Pillars of Analytics Technology: Redefining Analytical Speed
This white paper outlines the four key pillars of analytics speed that are essential to deliver transformational value with analytics: speed of development, speed of data processing, speed of deployment, and speed of response.