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How to Manage Risk with Modern Data Architectures

Cloudera

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

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Modern Data Architecture for Telecommunications

Cloudera

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

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Combining IoT and Blockchain Technology to Enhance Security

TDAN

The Internet of Things (IoT) technology has taken the world by storm. From smart homes and wearables to connected cars and fitness trackers, IoT devices are becoming prevalent across various industries and aspects of daily life. billion connected IoT devices in 2023, and this number is expected to grow to around […]

IoT 52
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Staff Augmentation Benefits IoT Projects

TDAN

One of the technologies that is expected to grow is the Internet of Things (IoT). Here are a few statistics that support this belief: — IoT already has generated more than $123 billion […].

IoT 52
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How the Public Sector Can Maximize the Value of Dark Data

Cloudera

Gartner defines dark data as “The information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes (for example, analytics, business relationships and direct monetizing).”

IoT 82
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SoftBank Selects Cloudera Data Platform to Leverage Customer Intelligence While Ensuring Data Security

Cloudera

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

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The power of remote engine execution for ETL/ELT data pipelines

IBM Big Data Hub

Edge computing data processing Edge computing is becoming increasingly prevalent, especially in industries such as manufacturing, healthcare and IoT. However, traditional ETL deployments are often centralized, making it challenging to process data at the edge where it is generated.