Cost-Benefit Data Integration Data Processing Events 
AWS Big Data
APRIL 17, 2024
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.
IBM Big Data Hub
JANUARY 11, 2024
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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IBM Big Data Hub
FEBRUARY 6, 2024
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.
CIO Business Intelligence
NOVEMBER 21, 2023
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.
Ontotext
DECEMBER 1, 2023
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!
AWS Big Data
SEPTEMBER 22, 2023
In our infrastructure, Apache Kafka has emerged as a powerful tool for managing event streams and facilitating real-time data processing. At Stitch Fix, we have used Kafka extensively as part of our data infrastructure to support various needs across the business for over six years.
AWS Big Data
MARCH 26, 2024
Data ingestion You have to build ingestion pipelines based on factors like types of data sources (on-premises data stores, files, SaaS applications, third-party data), and flow of data (unbounded streams or batch data). Data processing Raw data is often cluttered with duplicates and irregular formats.
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