Teradata Company Review

Some financial analysts questioned Teradata's ability to continue its growth in the IT market. While this segment of customers does put Hadoop on the agenda, customers often choose to give up only if data warehouse vendors with decades of experience find it difficult. "What's more important is to get rid of the misunderstanding of speculation rather than make a compromise at the level of reality," Scott Gnau, president of Teradata Labs, pointed out in a recent interview - the focus of this interview was to explore open source Hadoop from a historical perspective ...

Having just announced the easing of computing and memory limitations, Teradata promptly announced the acquisition of R-language analytics capabilities from Aster and announced the acquisition of Revelytix and Hadapt by Teradata Labs. The former focuses primarily on data management on Hadoop, while Hadapt is a focused SQL-on-Hadoop company. Clearly, Teradata is accelerating its efforts to build a unified data architecture. Construct a unified data structure In fact, structured data and unstructured data through traditional SQL analysis and ...

Some financial analysts questioned Teradata's ability to continue its growth in the IT market. While this segment of customers does put Hadoop on the agenda, customers often choose to give up only if data warehouse vendors with decades of experience find it difficult. "What's more important is to get rid of the misunderstanding of speculation rather than make a compromise at the level of reality," Scott Gnau, president of Teradata Labs, pointed out in a recent interview - the focus of this interview was to explore open source Hadoop from a historical perspective ...

Large data is one of the most active topics in the IT field today. 　　There is no better place to learn about the latest developments in big data than the Hadoop Summit 2013 held in San Jose recently. More than 60 big data companies are involved, including well-known vendors like Intel and Salesforce.com, and startups like SQRRL and Platfora. Here are 13 new or enhanced large data products presented at the summit. 1. Continuuity Development Public ...

Large data is one of the most active topics in the IT field today. There is no better place to learn about the latest developments in big data than the Hadoop Summit 2013 held in San Jose recently. More than 60 big data companies are involved, including well-known vendors like Intel and Salesforce.com, and startups like SQRRL and Platfora. Here are 13 new or enhanced large data products presented at the summit. Continuuity Development Company Now ...

Large data is one of the most active topics in the IT field today. There is no better place to learn about the latest developments in big data than the Hadoop Summit 2013 held in San Jose recently. More than 60 big data companies are involved, including well-known vendors like Intel and Salesforce.com, and startups like SQRRL and Platfora. Here are 13 new or enhanced large data products presented at the summit. Continuuity Development Company Now ...

According to the latest Forrest report, many companies are trying to tap into the vast amounts of data they have, including structured, unstructured, semi-structured, and binary data, and explore the use of large data. The following are some of the conclusions of the report: Most companies estimate that they only analyze 12% of the existing data and the remaining 88% are not fully utilized. The lack of a large number of data islands and analytical capabilities is the main cause of this situation. Another problem is how to judge whether data is valuable or not. Especially in the big data age, you have to collect and store this data. One...

According to the latest Forrest report, many companies are trying to tap into the vast amount of data they have, including structured, unstructured, semi-structured, and binary data, to explore the use of data. The following are some of the conclusions of the report: Most companies estimate that they only analyze 12% of the existing data and the remaining 88% are not fully utilized. The lack of a large number of data islands and analytical capabilities is the main cause of this situation. Another problem is how to judge whether data is valuable or not. Especially in the big data age, you have to collect and store this data. A few...