Data Related Topics 
Krebs on Security
AUGUST 19, 2024
New details are emerging about a breach at National Public Data (NPD), a consumer data broker that recently spilled hundreds of millions of Americans’ Social Security Numbers, addresses, and phone numbers online. In April, a cybercriminal named USDoD began selling data stolen from NPD.
Data Breach Today
SEPTEMBER 3, 2024
federal regulators Tuesday that hackers stole data after the firm acknowledged "unauthorized activity" on its networks in late August. Firm Says It Is Still 'Evaluating the Nature and Scope of the Information' Oil service giant Halliburton told U.S.
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Data Breach Today
AUGUST 26, 2024
Texas Credit Union Only Just Notifying 500,000 Members About May 2023 Data Theft Fifteen months after a massive supply-chain attack hit users of MOVEit secure file-transfer software, Texas Dow Employees Credit Union has issued a data breach notification pertaining to 500,474 victims, saying it only discovered last month their personally identifiable (..)
Data Breach Today
AUGUST 27, 2024
Young Consulting Says Health Data Exposed; Ransomware Group Leaked Stolen Data Young Consulting, which develops software for the stop-loss insurance market, is notifying 1 million individuals that their personal information was stolen earlier this year in a hack attack.
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Every data-driven project calls for a review of your data architecture—and that includes embedded analytics. Before you add new dashboards and reports to your application, you need to evaluate your data architecture with analytics in mind. Expert guidelines for a high-performance, analytics-ready modern data architecture.
Data Breach Today
SEPTEMBER 2, 2024
DataBreachToday.com is a multimedia website providing news, insights and education on data breach detection, notification and prevention.
Data Breach Today
SEPTEMBER 12, 2024
British Government Says Data Centers Are 'Essential for Functioning of Society' The U.K. government on Thursday designated data centers as part of its critical national infrastructure in a move intended to prevent the loss of sensitive user data during disruptive cyberattacks.
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Storytelling is more than just data visualization. Storytelling provides an organized approach for conveying data insights through visuals and narrative. Data-driven storytelling could be used to influence user actions, and ensure they understand what data matters the most.
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With its unparalleled flexibility, rapid development and cost-saving capabilities, open source is proving time and again that it’s the leader in data management. But as the growth in open source adoption increases, so does the complexity of your data infrastructure.
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Discover a streamlined methodical approach to Apache Cassandra® data modeling. Are you a developer, database architect, or database administrator that's new to Cassandra, but been tasked with developing a plan for implementing the technology anyway? Worry no more.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
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There’s no getting around it: selecting the right foundational data-layer components is crucial for long-term application success.
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In the rapidly evolving healthcare industry, delivering data insights to end users or customers can be a significant challenge for product managers, product owners, and application team developers. The complexity of healthcare data, the need for real-time analytics, and the demand for user-friendly interfaces can often seem overwhelming.
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The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data.
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Entity Resolution Sometimes referred to as data matching or fuzzy matching, entity resolution, is critical for data quality, analytics, graph visualization and AI. Advanced entity resolution using AI is crucial because it efficiently and easily solves many of today’s data quality and analytics problems.
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