Previously, we noted that the three main attributes of data quality are accuracy, suitability, and cost effectiveness (in terms of the time, effort, and resources required to achieve the desired level of data quality). Assuming the data is accurate and cost effective, how do you determine if it is suitable for what you are trying to achieve?
Several Knowledgent employees and their family members will take part in the 2014 Komen Greater New York City Race for the Cure. Continue reading Knowledgent Cares Team to Race for the Cure
Big Data Palooza NJ is a local Central and Northern New Jersey Meetup group looking to bring together big data enthusiasts and professionals from the tri-state area to discuss the latest and greatest in the big data landscape. This is a subgroup of our New York City group, Big Data Palooza. Continue reading FREE MeetUp Event! Stream Processing with Big Data on Wednesday, September 17
Not to be outdone by the summer party for the New York/New Jersey area, the Knowledgent New England team took the city of Boston by storm. For this year’s party, team members across our New England, Life Sciences, and Healthcare Portfolios embarked on a historical tour of Boston, visiting some of the city’s (and nation’s) oldest restaurants, pubs, and neighborhoods to learn more about the rich history of Boston and grab some good eats along the way. Continue reading Fun, Food, and a Fife: Colonial Good Times at the New England Summer Party
Come see us at the New York City leg of the Hortonworks Modern Data Architecture Roadshow! Our partner Hortonworks is hosting a one-day seminar on how to start the journey to the modern data architecture and unlock the potential for Hadoop in your organization. Knowledgent will be a Silver sponsor at the event, which is taking place on Tuesday, September 16 at the New York Marriott Downtown.
As part of Knowledgent Cares, our employee volunteer program, our Co-CEO Peter Gibson recently took on the ALS Ice Bucket Challenge.
What goes into designing and configuring a Data Lake? How does Hadoop figure in? Is security a concern? Our own Mike Vogel, Big Data Architect, answers these questions and more in this video Q&A. Continue reading A Plunge Into the Data Lake: Q&A with Mike Vogel
Our client was experiencing problems with managing their data assets. Data ingestion and processing were not managed in an organized way, causing users to waste time and effort when trying to find data. The large volume and variety of structured and unstructured data were only expected to increase as the organization grew. IT was struggling to balance the requirements of users with building a scalable, solid data foundation.
To meet their growing data needs, our client wanted fast, searchable, on-demand access to data and a way to conduct analytics and visualization on the data that users selected.
If you’ve ever wanted to know how a Data Lake works, look no further than this month’s infographic.
Proponents of the Data Lake are quick to point out the many potential benefits. For example, data will be readily available for end-user consumption, or users will have access to the “full historical view” of data and will be able to make innovative connections between different types of data (such as relational data, documents, or images). Continue reading The Data Lake: Is It All About the Metadata?