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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. What is a data lake?

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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

An edge computing architecture can begin to help solve these problems. Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. 2] As with any advancement in technology, edge computing comes with benefits and drawbacks.

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5 hot IT budget investments — and 2 going cold

CIO

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). This should secure our business strategy for the next five years and longer.”

Budget 363
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Coralogix streams $142M into its coffers to expand its production analytics into a full-stack observability platform

TechCrunch

We’ve long documented the challenges that DevOps and operations teams in specific areas like security face these days when it comes to data observability: a wide range of services across the landscape of an organization’s network translates into many streams of data that they need to track for performance, security and other reasons.

Analytics 246
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What is Cloud Computing? Everything You Need to Know – Architecture, Benefits & Much More

Openxcell

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection.

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Fundamentals of Data Engineering

Xebia

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

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Thinking of Moving Oracle to AWS – See Who Has Said Yes

Apps Associates

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Outcome highlights: Alignment of the process and architecture with QuantCast Security.

AWS 52