Remove Cloud Remove Data Storage Remove Unstructured Data
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What is an AI Data Engineer? 4 Important Skills, Responsibilities, & Tools

Monte Carlo

Key Differences Between AI Data Engineers and Traditional Data Engineers While traditional data engineers and AI data engineers have similar responsibilities, they ultimately differ in where they focus their efforts. Data Storage Solutions As we all know, data can be stored in a variety of ways.

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Why Open Table Format Architecture is Essential for Modern Data Systems

phData: Data Engineering

The world we live in today presents larger datasets, more complex data, and diverse needs, all of which call for efficient, scalable data systems. Though basic and easy to use, traditional table storage formats struggle to keep up. Track data files within the table along with their column statistics.

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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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Top 10 Real World Applications of Cloud Computing

Knowledge Hut

The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps. What Is Cloud Computing?

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CloudBank’s Journey from Mainframe to Streaming with Confluent Cloud

Confluent

Cloud is one of the key drivers for innovation. Innovative companies experiment with data to come up with something useful. But cloud alone doesn’t solve all the problems. A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery.

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Wand Powers AI Analytics at Scale Using Snowflake’s Data Cloud

Snowflake

Formed in 2022, the company provides a simple, SaaS-based drag and drop interface that democratizes AI data analytics, allowing everyone within the business to solve problems and create value faster. These processes would normally take twelve data scientists 18 months and cost millions. The result?

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2026 Will Be The Year of Data + AI Observability

Monte Carlo

Looking at past technology advancesnamely cloud computing and big datawe can see it typically happens in that order. Prior to data powering valuable data products like machine learning models and real-time marketing applications, data warehouses were mainly used to create charts in binders that sat off to the side of board meetings.