Remove Analytics Remove Big Data Remove Business Intelligence Remove DevOps
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CRM Analytics Data Flow and Recipe, Ultimate Guide to Data Transformation

Dzone - DevOps

Salesforce CRM Analytics is a cloud-based Business Intelligence (BI) and visualization framework seamlessly integrated into the Salesforce platform, designed to enable business insights, predictive analytics, and recommendations by integrating the Salesforce data with external big data sources.

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5 Ways KPI Analysis Helps DevOps

DevOps.com

Four Vs drive big data solutions: volume, velocity, variety and veracity. The post 5 Ways KPI Analysis Helps DevOps appeared first on DevOps.com. Volume and velocity are technical considerations usually receiving a healthy dose of attention among architects and coders. Key performance indicator, or KPI, […].

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Turbocharge Enterprise Apps With Contextual Analytics

DevOps.com

Software product managers and developers typically treat analytics as a standalone capability—something to be integrated into their application’s dashboard or reporting module. As a product feature, analytics is undoubtedly a valuable tool. When data analytics is […].

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Software Outsourcing: Why CEOs Love It

Gorilla Logic

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Internet of Things (IoT), big data, and AI/ML capabilities for software outsourcing.

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Cloud-Scale Visibility Tools: The Right Stuff

Kentik

Network data is big data. The collection of massive amounts of streaming telemetry requires a high-speed data pipeline for ingesting data in real time and distributing it to the appropriate monitoring and analytics tools.

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DataOps: Adjusting DevOps for Analytics Product Development

Altexsoft

New approaches arise to speed up the transformation of raw data into useful insights. Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. How DataOps relates to Agile, DevOps, and MLOps.

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Fundamentals of Data Engineering

Xebia

. – AltexSoft All the data processing is done in Big Data frameworks like MapReduce, Spark and Flink. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering.