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Modern big data integration often requires rapid ingestion of data from varied sources, while minimizing the impact of their performance.

A blockchain is a distributed ledger that serves as a historical record of a set of transactions.

Business intelligence (BI) enhances decision making by giving stakeholders the ability to tap into enterprise information assets.

Data analysis tools make it easier for users to sort through enterprise data in order to identify patterns, trends, relationships, correlations, and anomalies that would otherwise be difficult to d

Data governance encompasses every kind of policy related to an organization’s data, including its use, distribution, metric definitions, retention, security, and access.

Data management is a strategy for overseeing all the information housed by your organization -- especially in the light of IoT, big data, and other advanced initiatives. 

Data profiling includes the collection, aggregation, and examination of enterprise information, to gather statistics and details about it.

Decision support systems improve operational efficiency and business performance by enhancing the ability of stakeholders to make faster, smarter decisions based on information, rather than gut ins

With extract, transform, and load (ETL) tools, organizations can extract data from numerous disparate databases, applications and systems, transform it as appropriate, and load it into another data

Consumers are data-driven, demanding real-time information in the context of their current activities. 

Predictive maintenance is usually driven by sensors that collect data about specific pieces of equipment being maintained, after which analytics can show when maintenance is most likely to be usefu