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What is a Data Lake? Definition, Architecture, Tools, and Applications

IT Toolbox

Enterprises can house structured and unstructured data via object storage units or blobs using a data lake. The post What is a Data Lake? Definition, Architecture, Tools, and Applications appeared first on Spiceworks.

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What Is a Data Warehouse? Definition, Architecture, Tools, and Applications

IT Toolbox

A data warehouse aggregates enterprise data from multiple sources to support querying and analysis for better decisions. The post What Is a Data Warehouse? Definition, Architecture, Tools, and Applications appeared first on Spiceworks.

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Mind the gap – Making sure your SaaS Application Data is protected

Forrester IT

My colleague, Naveen Chhabra, wrote an excellent report in 2017, Back Up Your SaaS Data — Because Most SaaS Providers Don’t (forrester.com), which talked about how many companies have a gap in their backup strategy related to SaaS-hosted application data. While the application […].

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Challenges and Obstacles to Application of GDPR to Big Data

CTOvision

Read Shinie Bentotahewa and Chaminda Hewage take a look at the challenges and obstacles faced by Big Data applications due to the GDPR on Infosec Magazine : The primary focus of the General Data Protection Regulation (GDPR) framework is on protecting the rights of individuals to privacy, without compromising their personal data stored by state […]. (..)

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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What Is Electronic Data Interchange (EDI)? Meaning, Types, and Applications

IT Toolbox

Electronic data interchange (EDI) is the direct exchange of business documents (invoices, quotes, etc.) The post What Is Electronic Data Interchange (EDI)? Meaning, Types, and Applications appeared first on Spiceworks. between two computers using a fixed standard.

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Six Essentials for Protecting Cloud and Kubernetes Applications

IT Toolbox

Organizations need to establish a fresh approach to data protection to protect cloud and Kubernetes applications without limiting their agility and business-critical benefits. The post Six Essentials for Protecting Cloud and Kubernetes Applications appeared first on Spiceworks.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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GEP Procurement & Supply Chain Tech Trends Report

2024 GEP Procurement & Supply Chain Tech Trends Report — explores the biggest technological trends in procurement and supply chain, from generative AI and the advancement of low-code development tools to the data management and analytics applications that unlock agility, cost efficiency, and informed decision-making.

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The Essential Guide to Analytic Applications

Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.

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4 Approaches to Data Analytics

The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. 4 common approaches to analytics for your application. You’ll learn: The evolution of business intelligence. The pros and cons for each option.

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

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Modern Data Architecture for Embedded Analytics

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.

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Monetizing Analytics Features: Why Data Visualization Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Download the whitepaper to learn about Monetizing Analytics Features, and Why Data Visualizations Will Never Be Enough.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics. Five years ago, they may have. But today, dashboards and visualizations have become table stakes.