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Simplifying Data Architecture and Security to Accelerate Value

Snowflake

At BUILD 2024, we announced several enhancements and innovations designed to help you build and manage your data architecture on your terms. This reduces the overall complexity of getting streaming data ready to use: Simply create external access integration with your existing Kafka solution. Here’s a closer look.

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Data Integrity for AI: What’s Old is New Again

Precisely

The goal of this post is to understand how data integrity best practices have been embraced time and time again, no matter the technology underpinning. In the beginning, there was a data warehouse The data warehouse (DW) was an approach to data architecture and structured data management that really hit its stride in the early 1990s.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

Additionally, the optimized query execution and data pruning features reduce the compute cost associated with querying large datasets. Scaling data infrastructure while maintaining efficiency is one of the primary challenges of modern data architecture. Amazon S3, Azure Data Lake, or Google Cloud Storage).

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Data pipelines are the backbone of your business’s data architecture. Implementing a robust and scalable pipeline ensures you can effectively manage, analyze, and organize your growing data. Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures.

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Data Engineering Glossary

Silectis

Big Data Large volumes of structured or unstructured data. Big Data Processing In order to extract value or insights out of big data, one must first process it using big data processing software or frameworks, such as Hadoop. Big Query Google’s cloud data warehouse.