Click to learn more about video blogger Stefan Groschupf. Introducing the Big Data & Brews video blog series presented by Stefan Groschupf, Founder of Datameer. The series will touch on hot topics within the business of Big Data, Analytics, Internet of Things, Machine Learning, Cloud Computing, Modern BI, NoSQL and Next Generation Technologies. In today’s video blog Stefan […]
How are New Data Technologies Affecting Data Quality and Data Governance?
Data Quality and Data Governance have been an ongoing concern among global data technology vendors and enterprises for some time. Privacy and security issues are no longer the headaches of large enterprises alone; Big Data, Hadoop, Cloud Computing platforms, the Internet of Things (IoT), Platform-as-a-Service (PaaS) offerings, and social data have all added to rising […]
SQL versus NoSQL Databases: A Review of Key Themes
Non-relational databases (aka NoSQL), in many different variations, have become a popular database model for handling Big Data. They use two novel concepts, making them different from earlier, “classical” database models. The concepts having so much impact are horizontal scaling, spreading out the storage and work, and eliminating the use of “Structured Query Language” (SQL) […]
Challenges in Data Science: How to Better Organize Enterprise Components
How do Data Scientists fit into an organization? How is the role of a Data Scientist different from the role of a Data Engineer? How should the Data Science team be organized to create the most value for the business? Those are questions companies are struggling with as they begin to incorporate Big Data, Analytics, […]
Six Reasons Data Analytics Will Make a Splash in 2017
Click here to learn more about author Jon Pilkington. Looking back over the past year, it is clear that self-service solutions have become widely adopted by organizations across industries, as users want to access and analyze information immediately without having to wait for IT to run a report or provide a database. This trend will continue […]
A Review of Different Database Types: Relational versus Non-Relational
Relational databases are also called Relational Database Management Systems (RDBMS) or SQL databases. Historically, the most popular of these have been Microsoft SQL Server, Oracle Database, MySQL, and IBM DB2. The RDBMS’s are used mostly in large enterprise scenarios, with the exception of MySQL, which is also used to store data for Web applications. All […]
2017 Trends in Data Analytics: No Stopping the Momentum
The enterprise lives in a world of data, and the desire – the need – to analyze that data for business success is paramount. As businesses march into 2017, what will be at the top of their Data Analytics and Business Intelligence agenda so that they can realize their goals? How does that reflect upon […]
Syncsort’s Third Annual Hadoop Survey Uncovers Big Data Trends to Watch in 2017
by Angela Guess A new press release reports, “Syncsort, a global leader in Big Iron to Big Data solutions, today announced the results from its third annual Hadoop survey, showing that as users gain more experience with Hadoop, they are building on their early success and expanding the size and scope of Hadoop projects. Download […]
How to Dive into Data Lakes and Not Drown
Kyvos Insights has a question for Enterprise Analytics executives: How are your Data Lakes working out for you? For many that embarked on journeys to stock up Hadoop based Data Lakes, with everything from structured transaction records to non-relational data such as log files, Internet clickstream records, sensor data, social streams, and so on, the answer has been […]
Big Data Processing 101: The What, Why, and How
First came Apache Lucene, which was, and still is, a free, full-text, downloadable search library. It can be used to analyze normal text for the purpose of developing an index. The index maps each term, “remembering” its location. When the term is searched for, Lucene immediately knows all the places where that term had existed. […]