I recently examined how evolving functionality had fueled the adoption of NoSQL databases, recommending that organizations evaluate NoSQL databases when assessing options for data transformation and modernization efforts. This recommendation was based on the breadth and depth of functionality offered by NoSQL database providers today, which has expanded the range of use cases for which NoSQL databases are potentially viable. There remain a significant number of organizations that have not explored NoSQL databases as well as several workloads for which it is assumed NoSQL databases are inherently unsuitable. Given the advances in functionality, organizations would be well-advised to maintain up-to-date knowledge of available products and services and an understanding of the range of use cases for which NoSQL databases are a valid option.
Topics: NoSQL, Data, data platforms, Use Cases
This is my second analyst perspective based on our IoT Benchmark Research. In the first, I discussed the business focus of IoT applications and some of the challenges organizations are facing. Now I’ll share some of the findings about technologies used in IoT applications and the impact those technologies appear to have on the success of users’ projects.
Topics: Big Data, Analytics, Business Intelligence, IOT, NoSQL
Teradata continues to expand its information management and analytics technology for big data to meet growing demand. My analysis last year discussed Teradata’s approach to big data in the context of its distributed computing and data architecture. I recently got an update on the company’s strategy and products at the annual Teradata analyst summit. Our big data analytics research finds that a broad approach to big data is wise: Three-quarters of organizations want analytics to access data from all sources and not just one specific to big data. This inclusive approach is what Teradata as designed its architectural and technological approach in managing the access, storage and use of data and analytics.
Topics: Big Data, Sales Performance, Supply Chain Performance, Teradata, IT Performance, Operational Performance, Analytics, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, Information Applications, Information Management, NoSQL, Workforce Performance, JSON, UDA
Oracle made several announcements at its recent Open World event demonstrates its strengths in the business computing market but also that it is standing on the shoulders of giants. The company has developed the expertise, processes and market share to scale out the ideas and innovations of others. Don’t get me wrong: That statement is not an indictment. Large organizations often have challenges with innovation. They are not as nimble as their smaller competitors. On the other hand, small organizations often have challenges scaling out their successes. In an earlier post I characterized the software market as a sort of ecosystem, and this is how it works. Large organizations often look to imitate or acquire smaller firms for their innovations.
Topics: Big Data, Sales Performance, Social Media, Supply Chain Performance, Operational Performance, Business Analytics, Business Intelligence, Business Performance, Cloud Computing, Customer & Contact Center, Financial Performance, NoSQL, Oracle, Workforce Performance, Strata+Hadoop, Digital Technology