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Qlik's Associative Engine lets users do big data analytics, combining a number of data sources so that associations and connections can be formed across the data. [59] [60] The two main data analytics products, [61] [62] Qlik Sense (current cloud-based software) and QlikView (legacy on-premise product), serve different purposes running on the same engine.
QlikTech and Attivio Partner to Deliver QlikView Direct Discovery for Big Data Analytics Attivio's Active Intelligence Engine® provides single point of access for QlikView analytics across the ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data visualization refers to the techniques used to communicate data or information by encoding it as visual objects (e.g., points, lines, or bars) contained in graphics. The goal is to communicate information clearly and efficiently to users. It is one of the steps in data analysis or data science. According to Vitaly Friedman (2008) the "main ...
It can ingest data from offline data sources (such as Hadoop and flat files) as well as online sources (such as Kafka). Pinot is designed to scale horizontally. Mondrian OLAP server is an open-source OLAP server written in Java. It supports the MDX query language, the XML for Analysis and the olap4j interface specifications.
Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual data in combination with other data types.
Billionaire tech mogul Elon Musk posted Monday on his social media site that he had “deleted” 18F, a government agency that worked on technology projects such as the IRS’ Direct File program.
The company forecast a quarterly loss of $5.46 per share, which equates to about $4 billion, sharply steeper than analysts' average expectation of a $1.84 per share loss, according to LSEG data.