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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

If you are unfamiliar with the overall AI and ML workflow, start by reviewing 7 ways to improve security of your machine learning workloads to increase familiarity with the security controls needed for traditional AI/ML systems. There are many other AWS Security training and certification resources available.

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Metadata Management: Process, Tools, Use Cases, and Best Practices

Altexsoft

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Metadata discovery and capture refers to extracting metadata across your data assets. Metadata quality assurance.

Tools 59
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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. Who needs a data lake?

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Friends don't let friends build data pipelines

Abhishek Tiwari

Unfortunately, building data pipelines remains a daunting, time-consuming, and costly activity. Not everyone is operating at Netflix or Spotify scale data engineering function. Often companies underestimate the necessary effort and cost involved to build and maintain data pipelines.

Data 63
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Hire ETL Developer in Ukraine

Mobilunity

In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. In this article, we’ll discuss the role of an ETL engineer in data processing and why businesses need such experts nowadays. Who Is an ETL Engineer?

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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

Main coding systems in healthcare. Among the most widespread coding systems are. Recorded with codes or as plain text, 85 percent of health information is now kept in digital form across various health information systems. Health information systems. radiology information systems (RISs). Main Healthcare APIs.

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

Altexsoft

To drive deeper business insights and greater revenues, organizations — whether they are big or small — need quality data. But more often than not data is scattered across a myriad of disparate platforms, databases, and file systems. and transformation to achieve the format suitable for a target system.

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