James Curtis is a Senior Research Analyst for the Data, AI & Analytics Channel at 451 Research, a part of S&P Global Market Intelligence. He has had experience covering the BI reporting and analytics sector and currently covers Hadoop, NoSQL and related analytic and operational database technologies.
James has over 20 years' experience in the IT and technology industry, serving in a number of senior roles in marketing and communications, touching a broad range of technologies. At iQor, he served as a VP for an upstart analytics group, overseeing marketing for custom, advanced analytic solutions. He also worked at Netezza and later at IBM, where he was a senior product marketing manager with responsibility for Hadoop and big data products. In addition, James has worked at Hewlett-Packard managing global programs and as a case editor at Harvard Business School.
James holds a bachelor's degree in English from Utah State University, a master's degree in writing from Northeastern University in Boston, and an MBA from Texas A&M University.
Despite the complications related to COVID-19, the market for data, AI and analytics appears to be relatively buoyant, with a sizeable proportion of enterprises actually increasing their investment in new data and analytics projects as a result of the pandemic. The effect of this is likely to be an increasing divide between those enterprises that are able to exploit the advantages of data and analytics to drive new growth, and those that fall further behind.
Although the coronavirus pandemic is having an impact on the data platforms market, the sector is seeing a good deal of activity this year, producing one of the richest IPOs ever. With cloud adoption expected to continue to rise and enterprises looking more closely at cloud-native technologies, how will the sector continue to evolve during 2020 and beyond?
Google's Spanner distributed database not only provides SQL transactions, but also guarantees those transactions, regardless of region or location. Released in early 2017, Google Cloud continues to innovate on Spanner because it powers several Google Cloud applications along with a multitude of services.
Published 10/15/2020. Moderator: Matt Aslett, Research Director, Data, AI & Analytics Panelists: Paige Bartley, Senior Research Analyst, Data Management, 451 Research; James Curtis, Senior Research Analyst, Data, AI & Analytics, 451 Research
The company was early to market with a PostgreSQL Kubernetes Operator that users leveraged to run the open source database on cloud infrastructure. Leaning on its experience, Crunchy Data is rolling out Crunchy Bridge, a fully managed PostgreSQL Cloud service.
The company's data lake service is getting a makeover, with an emphasis on time " the time it takes to set up a data lake and the time it takes to start analyzing data. Instant Cloud Data Lake is targeted at enterprises wanting a cloud-based analytics platform that requires minimal resources to manage.
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