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Achieve scalable cyber resiliency in the cloud during an age of exponential data growth

CIO

Data volumes continue to grow exponentially, and there’s no end in sight. IDC predicts that the amount of commercial data in storage will be 12.8 A typical novel contains 1 MB of data and is about 12 mm thick, so 12.8 A typical novel contains 1 MB of data and is about 12 mm thick, so 12.8 ZB by 2026.

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Tonic is betting that synthetic data is the new big data to solve scalability and security

TechCrunch

Big data is a sham. There is just one problem with big data though: it’s honking huge. Processing petabytes of data to generate business insights is expensive and time consuming. Processing petabytes of data to generate business insights is expensive and time consuming. data governance) based on local privacy laws.

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How to manage data integration during an acquisition

CIO

But adopting modern-day, cutting-edge technology is only as good as the data that feeds it. Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets.

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Building Scalable Cloud Applications With MySQL

DevOps.com

Relational database systems such as MySQL have long been the go-to choice for handling large and complex data handling tasks. However, when building high-scalability cloud applications, relational databases like MySQL still have […]

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7 Pitfalls for Apache Cassandra in Production

Apache Cassandra is an open-source distributed database that boasts an architecture that delivers high scalability, near 100% availability, and powerful read-and-write performance required for many data-heavy use cases.

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Subspace Labs raises funding for a more scalable, sustainable blockchain

TechCrunch

million to further develop an entirely new blockchain that aims to balance scalability, security and sustainability , its co-founder and CEO Jeremiah Wagstaff told TechCrunch in an interview. are more scalable than their older counterparts, they still make security and decentralization tradeoffs inherent to the proof-of-stake system.

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What is data governance? Best practices for managing data assets

CIO

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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The Modern Encryption Software Checklist: The Secret to Understanding Your Data Security Needs

Understanding your data security needs is tough enough, but what can be even more difficult is choosing the right software to fit your company. Flexibility and scalability. Fortunately, there is a solution. Key management system. User authentication and advanced security factors. Enterprise features. Download the checklist today!

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Going Beyond Account-Based Marketing: Why ABM-i is the Wave of the Future

Learn 8 strategies to use data and technology to create scalable yet personalized ABM programs. Evolve beyond account-based marketing and create a hyper-personalized approach that considers stakeholders as individuals. Download the guide.

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MLOps 101: The Foundation for Your AI Strategy

Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability. How can MLOps tools deliver trusted, scalable, and secure infrastructure for machine learning projects?

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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How and Why: Embedded Analytics Interfaces For Your SaaS Product

Speaker: Sam Owens, Product Management Lead, Namely Platform

To make things tougher, they needed something flexible, scalable and capable of serving different user types. Sam and Jessica will walk through how they: Discovered the data and analytics needs of their users, including understanding what data sources they needed access to. Balanced competing priorities and managed expectations.

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The Ultimate Embedded Analytics Guide

In today’s ambitious business environment, customers want access to an application’s data with the ability to interact with the data in a way that allows them to derive business value. After all, customers rely on your application to help them understand the data that it holds, especially in our increasingly data-savvy world.