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Business disaster recovery use cases: How to prepare your business to face real-world threats

IBM Big Data Hub

Successful business owners know how important it is to have a plan in place for when unexpected events shut down normal operations. Let’s start with some commonly used terms: Disaster recovery (DR): Disaster recovery (DR) refers to an enterprise’s ability to recover from an unplanned event that impacts normal business operations.

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Cyber recovery vs. disaster recovery: What’s the difference? 

IBM Big Data Hub

Cybersecurity and cyber recovery are types of disaster recovery (DR) practices that focus on attempts to steal, expose, alter, disable or destroy critical data. Disaster recovery (DR) is a combination of IT technologies and best practices designed to prevent data loss and minimize business disruption caused by an unexpected event.

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7 steps for turning shadow IT into a competitive edge

CIO Business Intelligence

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

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

Ontotext

The event held the space for presentations, discussions, and one-on-one meetings, where more than 20 partners, 1064 Registrants from 41 countries, spanning across 25 industries came together. Sumit started his talk by laying out the problems in today’s data landscapes. Abstract art and knowledge graphs: embracing your mess!

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

FineReport

A company’s ability to collect and handle big data effectively is directly related to its growth rate, as big data offers numerous advantages that cannot be ignored. Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. How to Choose the Right Big Data Analytics Tools?

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

Software development has made great strides in terms of saving thanks to Big Data. For instance, technologies like cloud-based analytics and Hadoop helps in storing large data amounts which would otherwise cost a fortune. Data Integration. Real-Time Data Processing and Delivery. Agile Development.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

Today, customers widely use OpenSearch Service for operational analytics because of its ability to ingest high volumes of data while also providing rich and interactive analytics. As your operational analytics data velocity and volume of data grows, bottlenecks may emerge.