Novetta is a premier exhibitor at Strata Data Conference in New York on September 23-26, 2019. Visit us in Booth #1201 to discuss our entity resolution and machine learning capabilities. Strata Data Conference is where cutting-edge science and new business fundamentals intersect—and merge. It’s a deep dive into emerging techniques and technologies. You’ll dissect case studies, develop new skills through in-depth tutorials, share emerging best practices in data science, and imagine the future. Formerly known as Strata + Hadoop World, the conference was created in 2012, when O’Reilly and Cloudera brought together their two successful big data conferences. This event…
2018 AWS re:Invent
We are excited to return to re:Invent! This year there are even more ways to engage with us. REGISTER AND ATTEND OUR SPEAKING SESSIONS: TUESDAY, NOVEMBER 27 10:00 AM – 11:00 AM MGM, Level 3, Premier Ballroom 316 Register: WPT201 – We Power Tech: Lightning Talks with Executive Women in Tech Diversity in technology often starts with a focus on women. How do we prioritize the inclusion of women from all communities (race, gender identity, ability status, and other underrepresented and intersectional communities) on technical teams? What can leaders do—from cultivating the pipeline, to hiring, to developing internal…
2017 AWS Public Sector Summit
AWS Public Sector Summit – Spend three, action-packed days with the innovators who are changing the world with cloud computing. You’ll go home with new strategies and techniques to build new services, maximize budgets, and ideas for ways to achieve your mission that you didn’t think possible. Visit Novetta in the expo hall for a live demo and find out what’s hiding in your data.
2017 Federal Identity Forum and Homeland Security Conference
Formerly known as the Global Identity Summit, the Federal Identity Forum & Exposition (FedID 17) is the U.S. federal government’s primary outreach and collaboration-building event with the worldwide identity community. With the Washington DC location and being held side-by-side with AFCEA’s Homeland Security Conference, FedID will realize even more participation from government agencies and personnel. Already the most important and highly attended government identity event in North America, FedID will set new standards in delivery of education in sessions and solutions in the exhibit hall. Novetta offers a range of cutting-edge identity intelligence products and services, focused on solving the…
2017 connect:ID
The highly acclaimed connect:ID conference will explore how secure identity technology is enhancing authentication, wherever it is used – from aviation and border control, to healthcare, finance, education and countless other markets. Novetta offers a range of cutting-edge identity intelligence products and services, focused on solving the hardest problems facing our customer base (DoD, IC). Visit Novetta in Booth# 211 for a live demo.
Does Entity Resolution Matter When it Comes to Information Management and Analysis?
Yes, entity resolution does matter – tremendously – when it comes to information management and analysis. In fact, Novetta Entity Analytics unlocks the potential of data and enables organizations to get more out of existing enterprise technologies and applications. We’ve just released a new whitepaper on this topic; get it here. Does your organization already have data integration or data quality tools? How about data warehouse or MDM tools? Are those tools giving you the clearest, most high fidelity look at the people, places, products or events you’re interested in? Wouldn’t it be great if you could ratchet up their performance so that…
Gain Unparalleled Clarity With Novetta Entity Analytics
Novetta Entity Analytics Delivers Critical Requirements for Advanced 360 Entity Views. The ability to bring together data from multiple sources and produce complete views of entities for analysis can dramatically transform how organizations perform analytics. Analytics tools and applications with access to advanced 360-degree entity views benefit from richer and more contextual insights than ever before. Although the term “360-degree view” has been in use for years, most often it refers to a view of a subset of data about a person gathered from internal structured sources and presented in master data management (MDM) software or stored in a data…
Hadoop Analytics: Combining Data Requires a Source-Agnostic Approach
In the last two blogs, I’ve talked about the complexities of combining data sources in Hadoop. Specifically I’ve covered: Why custom, source-specific scripts that combine data sources are problematic How using data integration or data science tools introduces too much uncertainty Why adding data from external sources is next to impossible Today, I’m going to discuss how Hadoop analytics is enhanced through source-agnostic technologies that make it easy to combine internal and external data sources. In addition to describing how source-agnostic methods work, I’ll also cover why Hadoop analytics need built-in intelligence and knowledge transfer capabilities, an understanding of relationships…
Hadoop Analytics: Even Harder With External Sources
In my last post; Hadoop Analytics: Not So Easy Across Multiple Data Sources, I discussed the issues organizations face when attempting to use Hadoop to store and analyze data from multiple internal sources. In this post, I’ll talk about the challenges and benefits of adding external data to the mix.[clear-line] Adding External Data Improves Predictive Analytics Organizations increasingly want to analyze third party data because these sources increase their visibility into the broader marketplace, help them predict future actions, and generate additional sales leads. Analyzing internal data alone provides historical perspective about customers and their purchases, which is useful for…
Hadoop Analytics: Not So Easy Across Multiple Data Sources
Hadoop is a great place to offload data for analytics processing or to model larger volumes of a single data source that aren’t possible with existing systems. However, as companies bring data from many sources into Hadoop, there is an increasing demand for the analysis of data across different sources, which can be extremely difficult to achieve. This post is the first in a three-part series that explains the issues organizations face, as they attempt to analyze different data sources and types within Hadoop, and how to resolve these challenges. Today’s post focuses on the problems that occur when combining…
