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A Window Into the Future of Data in Motion and What It Means for Businesses

Cloudera

Modern businesses have vast amounts of data at their fingertips and are acutely aware of how enterprise data strategies positively impact business outcomes. One of the ways to accelerate time to insight is by performing analytics on real-time data. This is the focus of “data in motion”.

IT 93
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Apache Spark Use Cases & Applications

Knowledge Hut

As per Apache, “ Apache Spark is a unified analytics engine for large-scale data processing ” Spark is a cluster computing framework, somewhat similar to MapReduce but has a lot more capabilities, features, speed and provides APIs for developers in many languages like Scala, Python, Java and R. billion (2019 - 2022).

Scala 52
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Time Series Forecasting: What, Why, and, How?

ProjectPro

The coronavirus has affected numerous businesses. Thus, many business owners are curious to know when the coronavirus cases are likely to increase for developing efficient strategies. Thus, many business owners are curious to know when the coronavirus cases are likely to increase for developing efficient strategies.

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Simple And Scalable Encryption Of Data In Use For Analytics And Machine Learning With Opaque Systems

Data Engineering Podcast

Summary Encryption and security are critical elements in data analytics and machine learning applications. We have well developed protocols and practices around data that is at rest and in motion, but security around data in use is still severely lacking.

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Top Software Engineering Tools You Need to know in 2024

Knowledge Hut

What is a Software Engineer? What are Software Engineering Tools? Do the numerous programming languages, libraries, frameworks, databases, and platforms released daily overwhelm you? Do you find it difficult to follow them? Humans constantly strive to be more effective. Humans constantly strive to be more effective.

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Journey to Event Driven – Part 3: The Affinity Between Events, Streams and Serverless

Confluent

FaaS functions only solve the compute part, but where is data stored and managed, and how is it accessed? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless?

Kafka 109
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What is a Data Platform? And How to Build An Awesome One

Monte Carlo

A data platform, often referred to as a ‘modern data stack,’ is the central processing hub for an organization’s data ecosystem. A comprehensive data platform solution powers data acquisition, storage, preparation, delivery, governance, and even the robust security needs of users and applications.