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The nominations are in and – Who are we kidding? The results aren’t even close. The winner of Big Data’s Person of the Year is…The Chief Data Officer (CDO). Clearly congratulations are in order! But let’s step back for a second and take a look at the marketplace that’s made this all possible.


Hear from Andrew Brust, blogger at ZDNet and Datameer’s Advisor for Marketing and Innovation, or skim through the transcripts to learn more about the distinctions between BI and Big data, and the real differences between a data warehouse and a data lake.

Datameer Year in Review – 2017’s Biggest News and Content Views!

2018 is almost here! And given the fact that 2017 was such a big year for us here at Datameer, what better time to look back and recap some of our most exciting announcements and greatest hits from the last 12 months? Keep reading for a look at our Top 3 major product announcements in 2017 as well as our Top 5 most popular blog posts this year.


Big data is really “the little engine that could.” While this may seem like an oxymoron, allow me to explain. When broken down, big data is really just a collection of seemingly infinite small details and information points in different silos. But all of these data points are really part of a much greater puzzle that, once “solved” and articulated, has the power to fuel digital transformation.


2017 has been a big year for big data industry trends and for the Datameer team as well. From our introduction of SmartAI, which allows you to deploy artificial intelligence directly to your data lake, to our major announcement of Datameer Visual Explorer’s interactive data exploration capabilities, we’ve claimed our place among the movers and shakers of the 2017 Big Data Marketplace.

Bring Big Data Into Your Business Intelligence Village

Jeff Weidner is a Big Data Practitioner and partner of JW Analytical Advisors. He has decades of experience being a trusted advisor towards transforming data into actionable insights. Applying Business Intelligence and behavioral statistical analysis to a variety of situations including Digital Marketing Intelligence his innovative approaches are tempered by his experience at Dell as Director of Marketing Information Governance.


Vivint Smart Home’s Miki Seltzer, data scientist, and Raul Olvera, senior data engineer, visited theCUBE, SiliconANGLE’s mobile livestreaming studio, and spoke with host Jeff Frick (@JeffFrick) They discussed how the company handles the massive amount of homeowner data it collects, Datameer Inc.’s role in analytics, and the future use of personal information by customers. View the complete interview here.

3 Steps to Optimize your Data Lake

Data today is quickly growing in volume, variability and complexity. This has left organizations with the challenge of harnessing all this data – however broad in variety or large in volume – to derive more value and insights from it.

Six Key Characteristics of a “Cloud-native” Platform

With the Cloud platform software market expected to reach $90 billion by 2020, even the largest and most conservative organizations are moving some or all of their analytics to the Cloud. According to the Gartner 2017 Magic Quadrant Business Intelligence and Analytics Platforms report:


The cloud computing revolution has changed technology, and how businesses use it. It’s made for unprecedented levels of agility and flexibility in the use of, and budgeting for, technology. It’s lowered barriers to entry, it’s leveled the proverbial playing field and it’s also pressured organizations to accelerate their adoption of technology in order to stay competitive. But you knew all that.

Data Exploration vs. Data Discovery

Much has been made of the term “data discovery.” It is used profusely in the BI market and describes a fundamental transition in BI tools as emphasis has shifted from reporting to looking for new trends. Companies such as Tableau and Qlik altered the BI landscape with their ability to help business analysts discover new trends hidden in data.

Data Pipeline Optimization : Why Self-Sufficiency Accelerates Insight

The modern data pipeline has become an invaluable asset for many companies, allowing them to make well-reasoned business decisions fueled by the most up-to-date data possible. However, in today’s competitive business environment, collecting and compiling data is simply not enough to remain relevant. Proactive companies now strive to be “data driven” across many functions of the organization, using vast quantities of data, gathered from a plethora of sources that help to better define their business goals and company operations.