Remove Data Analytics Remove Data Processing Remove Unstructured Data
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The DataOps Vendor Landscape, 2021

DataKitchen

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Amaterasu — is a deployment tool for data pipelines.

Testing 300
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An Introduction To Data Dashboards: Meaning, Definition & Industry Examples

datapine

Online dashboards provide immediate navigable access to actionable analytics that has the power to boost your bottom line through continual commercial evolution. Now that you understand a clearly defined dashboard meaning, let’s move onto one of the primary functions of data dashboards: answering critical business questions.

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7 Enterprise Applications for Companies Using Cloud Technology

Smart Data Collective

Cloud technology results in lower costs, quicker service delivery, and faster network data streaming. It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. Big data analytics. Multi-cloud computing.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured. Improving Efficiency.

Big Data 101
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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). Neptune ingests both structured and unstructured data, simplifying the process to retrieve content across different sources and formats.

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TDC Digital leverages IBM Cloud for transparent billing and improved customer satisfaction

IBM Big Data Hub

Furthermore, TDC Digital had not used any cloud storage solution and experienced latency and downtime while hosting the application in its data center. TDC Digital is excited about its plans to host its IT infrastructure in IBM data centers, offering better scalability, performance and security.