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Resilient data backup and recovery is critical to enterprise success

CIO

Analysts IDC [1] predict that the amount of global data will more than double between now and 2026. Meanwhile, F oundry’s Digital Business Research shows 38% of organizations surveyed are increasing spend on Big Data projects.

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Hadoop vs Spark: Main Big Data Tools Explained

Altexsoft

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work?

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Data lake architecture

Apiumhub

One way through which businesses are doing this is through the use of Data Lakes to create a centralized place management infrastructure that allows every organization to manage, store, analyze and classify data. The concept of Data lake architecture has recently become a hot topic. What is Data Lake?

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Huawei Cloud named leader in emerging Asia-Pacific hybrid cloud market

CIO

To inspire technological innovation and create new value for more industries, Huawei Cloud Stack has taken three approaches: • Trusted, resilient cloud native infrastructure : Huawei Cloud Stack provides a range of scenario-specific disaster recovery (DR) and backup solutions, which enhance service reliability.

Cloud 242
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Big Data: The Hadoop Business Case

CTOvision

The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.

Big Data 114
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Data architecture characteristics & principles

Apiumhub

In information technology, data architecture is composed of models, policies, rules or standards that govern which data is collected, and how it is stored, arranged, integrated, and put to use in data systems and in organizations. Responsibilities of a Data Architect. What is Data Architecture.

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AWS Microservices Architecture – Enabling Faster Application Development

RapidValue

In an effort to avoid the pitfalls that come with monolithic applications, Microservices aim to break your architecture into loosely-coupled components (or, services) that are easier to update independently, improve, scale and manage. Key Features of Microservices Architecture. Each service is known to have its own view on data models.