Remove Data Processing Remove Enterprise Remove Interactive Remove Structured Data
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Big Data Ingestion: Parameters, Challenges, and Best Practices

datapine

Operations data: Data generated from a set of operations such as orders, online transactions, competitor analytics, sales data, point of sales data, pricing data, etc. The gigantic evolution of structured, unstructured, and semi-structured data is referred to as Big data.

Big Data 100
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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured. Semi-structured data contains a mixture of both structured and unstructured data. Role of Software Development in Big Data.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted. Parag Srivastava is a Solutions Architect at AWS, helping enterprise customers with successful cloud adoption and migration.

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Data, data everywhere: why you need an enterprise data platform

CIO Business Intelligence

To gain maximum value from all data and ensure its security—whether it resides on premise, in public cloud or private cloud—an organisation requires an overarching system that is able manage these disparate datasets as an integrated whole throughout their entire lifecycle: whatever their sources, wherever they reside and whatever formats they take.

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Conversational AI: Design & Build a Contextual Assistant – Part 1

CDW Research Hub

Level 5 and beyond : at this level, contextual assistants are able to monitor and manage a host of other assistants in order to run certain aspects of enterprise operations. Natural Language Understanding (NLU) is a subset of NLP that turns natural language into structured data. NLU is able to do two things?—?intent

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NVMe vs. SATA: What’s the difference?

IBM Big Data Hub

SATA (Serial Advanced Technology Attachment) is a protocol that prescribes how data is moved between a computer and a storage device, such as a hard disk drive (HDD ). According to a recent Gartner report (link resides outside ibm.com), SSDs are currently surpassing HDDs as the preferred industry standard for structured data workloads.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.