Remove Data Integration Remove Data Processing Remove Technology Remove Unstructured Data
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Do You Know Where All Your Data Is?

Cloudera

The stringent requirements imposed by regulatory compliance, coupled with the proprietary nature of most legacy systems, make it all but impossible to consolidate these resources onto a data platform hosted in the public cloud. Flexibility.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. New software is making big data more viable than ever. Unstructured. Unstructured data lacks a specific format or structure.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

It enriched their understanding of the full spectrum of knowledge graph business applications and the technology partner ecosystem needed to turn data into a competitive advantage. Content and data management solutions based on knowledge graphs are becoming increasingly important across enterprises.

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How to Take Back 40-60% of Your IT Spend by Fixing Your Data

Ontotext

This is the goal of a “data-driven” organization. However, in the race to become data-driven, most efforts have resulted in a tangled web of data integrations and reconciliations across a sea of data silos that add up to between 40% – 60% of an enterprise’s annual technology spend.

IT 69
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10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

Veracity pertains to the reliability and quality of data, including potential biases, abnormalities, or inconsistencies. By leveraging Big Data technologies, companies can collect, store, and analyze information to make informed decisions and improve their operations. Why do Enterprises Need Big Data Tools?

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Create an Apache Hudi-based near-real-time transactional data lake using AWS DMS, Amazon Kinesis, AWS Glue streaming ETL, and data visualization using Amazon QuickSight

AWS Big Data

With the rapid growth of technology, more and more data volume is coming in many different formats—structured, semi-structured, and unstructured. Data analytics on operational data at near-real time is becoming a common need. a new version of AWS Glue that accelerates data integration workloads in AWS.

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SAP enhances Datasphere and SAC for AI-driven transformation

CIO Business Intelligence

SAP announced today a host of new AI copilot and AI governance features for SAP Datasphere and SAP Analytics Cloud (SAC). Vector embeddings represent data (including unstructured data like text, images, and videos) as coordinates while capturing their semantic relationships and similarities.