CTOvision
SEPTEMBER 11, 2016
Their solutions have served business users, including the more advanced statisticians and data scientists but also the average user. We track Tibco in our Disruptive IT Directory in the category of Business Intelligence and Analytics Companies. For more info see Tibco.com.
CTOvision
SEPTEMBER 11, 2016
Their solutions have been applied across multiple industries, with use cases and reference architectures available for Airlines, Banking, Capital Markets, Government, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Oil and Gas, Rail, Retail, Telecommunications and Utilities. For more info see Tibco.com.
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Altexsoft
JULY 18, 2023
These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.
Altexsoft
JULY 29, 2022
Depending on how you measure it, the answer will be 11 million newspaper pages or… just one Hadoop cluster and one tech specialist who can move 4 terabytes of textual data to a new location in 24 hours. Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics.
Altexsoft
JANUARY 24, 2020
Telecommunications and Internet services hold the line. Business Analytics (MS) lays right at the intersection of business, technology, and data. Business Intelligence. Collecting, structuring, analyzing, and turning fresh enterprise data into proper business decisions is a growing trend.
Altexsoft
MAY 20, 2020
Vetted messages are processed by the Rules Engine which routes them either to a device or cloud AWS service — like AWS Lambda (a serverless computing platform), Amazon Kinesis (a solution for processing big data in real time), Amazon S3 (a storage service), to name a few. It easily integrates with. Cloud IoT Core integrations.
Existek
JANUARY 27, 2023
These systems are used to ensure that financial institutions comply with a wide range of regulatory requirements, such as the General Data Protection Regulation (GDPR) and the Payment Services Directive (PSD2). BI systems can be used to create reports and visualizations, such as charts and graphs, that make it easy to understand complex data.
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