Industry Trends

Woman holding onto seat as high wind blows her hair and lots of data points past

Strong Winds of Change at Chief Data & Analytics Officers Event

Jeff Healey, Sr Director, Vertica Product Marketing at Micro Focus
August 14, 2019

Last week, Vertica sponsored the . As a first-time sponsor, we were cautiously optimistic that we could meet with data and analytics leaders that were, according to event organizer IQPC, “…on the forefront of capitalizing on data and analytics in the enterprise as the volume, availability, and complexity of data continues to increase and evolve.”...

Vertica Ranked #1 Cloud Data Warehouse

Jeff Healey, Sr Director, Vertica Product Marketing at Micro Focus
July 30, 2019

July has been quite an exciting month for Vertica. Our three keynote presenters are now confirmed for the Vertica Big Data Conference 2020 – Vertica founder and Turing Award winner Dr. Michael Stonebraker, kingpin of the famous MIT blackjack team Jeffrey Ma, and renowned analyst Ray Wang of Constellation Research. And, in addition to receiving...

Vertica Scores Big in Customer Satisfaction

Joy King, VP, Vertica Product Management & Product Marketing
July 20, 2019

After more than a decade in enterprise sales, I confess that my least favorite experience is being forced to buy anything that requires me to engage with a salesperson. I do all my research online, read reviews from multiple sites, and talk with trusted friends and business colleagues to get their opinion on any of...

hands in surgical gloves hold vial with small amount of blood

Is Data Warehouse as a Service Out for Your Blood?

Jeff Healey, Sr Director, Vertica Product Marketing at Micro Focus
July 3, 2019

Last weekend, I finally had the chance to watch the popular, yet alarming HBO documentary – . If you haven’t seen it, it’s a true story that centers on Elizabeth Holmes, ex-Theranos CEO, who dropped out of Stanford to build a company that promised to revolutionize blood testing using a small amount of blood from...

How to Access Flexible, Cloud-Optimized Analytics on AWS

Ben Smith, Senior Product Marketing Manager
July 1, 2019

Vertica was designed from the very first line of code to be a software-only data warehouse with complete freedom from underlying infrastructure, giving you the choice to decide what hardware to use and where. This commitment to flexibility is evident in our product history, as we took the same core MPP analytics engine from commodity...

young girl choosing recommended video playback button.

Content Analytics and Video Recommendation Systems with Vertica

Marko Štajcer, Director of Innovation & Development department at Poslovna inteligencija d.o.o.
June 11, 2019

Analyzing digital content and the behavior of viewing customers in real-time is essential to a lot of companies. Communication operators and content providers are offering many services that enable customers to consume video content using different fixed and mobile technologies through different devices, either in their homes or mobile. For these operators and providers, it...

Drawing of 4 blue pillars: Separation, Automation, Prediction, Protection

Vertica’s Architectural Direction – Separation of Compute and Storage

Chuck Bear, Vertica Chief Architect
June 10, 2019

For over a decade, Vertica has delivered industry-leading performance on analytic query workloads in on-premise “shared-nothing” environments. Due to several good (and several lucky) historical architectural decisions, Vertica in Eon Mode is also leading the market for elastic, on-demand databases in public clouds. This post will review the key features of the Vertica architecture, and describe Vertica’s...

Paige Roberts presenting to a full room with a Zynga case study slide showing

DBTA Data Summit – The Rise of DataOps

Paige Roberts, Vertica Open Source Relations Manager
June 4, 2019

The recent DBTA Data Summit provided a lot to think about. I did a short talk in the “Analytics in Action” track about how data analysts, architects and engineers can turn the endless waves of disruption we keep getting hit with into opportunities to boost bottom line. There were some very cool talks by other...

Woman asks questions of panel at IOT world with audience

IOT World 2019 – Backing Up the Buzz

Jeff Healey, Sr Director, Vertica Product Marketing at Micro Focus
May 24, 2019

Connected and autonomous vehicles. Smart Cities. Smart Buildings. Predictive maintenance. Lots of robots. This must be , where more than 12,000 IOT enthusiasts joined at the Santa Clara Convention Center to learn if IOT had “jumped the shark” or if we are just now learning how businesses can ultimately gain advantage from trillions of connected...

Take Flight at JM Wine Cellars, may 30th, 4 - 6 PM, JM Cellars, Woodinville, with RSVP button

Is this Wine Good? Wine Quality with Machine Learning

Christina Neble, Senior Partner Business Manager
May 22, 2019

How can you really tell if a wine is good? It’s a commonly known fact that the price of wine does not have a direct correlation to the quality or taste. What if we use some analytics to help make a clear determination if a wine is “good?” My friend and Data Scientist, , shared...

Chicago cityscape with various data type icons and network connection concept

Can You Hear Me Now? Network Optimization at Work

Jeff Healey, Sr Director, Vertica Product Marketing at Micro Focus
May 1, 2019

For sports fans, there’s nothing that matches the heart-stopping action of the NCAA Division I Men’s Basketball Tournament – more commonly known as March Madness. This year’s tournament delivered a four-year high in terms of its , causing an advertiser frenzy in hopes to capture those audiences. If you watched this year’s tournament, you couldn’t...

Machine learning robot studying equations and graphs

Doing In-Database Machine Learning 1 – Why Would You Do That?

Waqas Dhillon, Product Manager - Machine Learning, Vertica
April 22, 2019

Co-authored with Paige Roberts. A lot of modern like Vertica allow you to do machine learning from end to end, right in the database, rather than moving and transforming the data first into something like a Spark dataframe or a Python data structure. Whenever people hear about this capability, they have two questions. The first...

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