Real-Time Data Warehouse

Problem Statement: In a classic corporate environment, a data warehouse stores data extracted from operational databases and external data sources. It is mostly used for analysis and for reporting on historical data for specific business needs, usually in conjunction with visual business intelligence (BI) tools. The data is loaded into the data warehouse from the operational database or other data sources regularly via a batch ETL process or in some cases, in real-time.

SuperSQL Database Architecture

In this paper we explain the architectural choices that give Clusterpoint 4 its capability to handle multiple data models, relational and NoSQL, in single database platform. Since the architecture allows addressing all the use cases of SQL, we refer to it as a SuperSQL database, as in a superset of SQL.

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The secret to easy, fast, economical big data

With all the talk today of the three V’s of big data – volume, velocity, and variety – few people like to mention the three C’s: just how confusing, complicated, and challenging the big data world has become in the few short years since the buzzword hit the scene.

Even the definition of big data presents a confusing challenge: data sets too large for conventional tools to store, process, or analyze. Big data are a moving target by definition, as new tools enter the market, confounding any notion of conventional.

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Why are enterprises betting billions on database as a service?

Over the last few years, big data has become an increasingly important part of the enterprise landscape.

Big data is generally defined as a data environment that meets the four criteria of volume, veracity, velocity, and variety. That is, a data environment that features a lot (volume) of different kinds of data including text and video (variety), where reliability (veracity) and speed of analysis (velocity) are paramount.

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Transaction mechanism in Clusterpoint database

Support of the transactions consisting of the set of multiple operations is one of the key features of Clusterpoint database server software. It means that in one transaction it is possible to change multiple documents. Transactions are one or more operations that all must succeed. If one operation fails, all the other operations in transaction fail as well, and the database is reversed to the state before the transaction began.

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