Cloudera

AUGUST 11, 2021

Once upon an IT time, everything was a “point product,” a specific application designed to do a single job inside a desktop PC, server, storage array, network, or mobile device. A few years ago, there were several choices of data deduplication apps for storage, and now, it’s a standard function in every system. Reason No.

Cloud 118

Cloud Big Data Government Cloud Computing 118

Knowledge Hut

DECEMBER 26, 2023

Companies from startups to the Fortune 500s are looking out for the best and brightest individuals to fill up the role of Data engineers beating out data scientists, cybersecurity analysts, and web developers. Let us first get a clear understanding of why Data Science is important. What is the need for Data Science?

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98

ProjectPro

OCTOBER 20, 2021

A lot of demand in the market comes through in two points in this Gartner hypecycle, in the peak and the maturity. The AI Hype Cycle (Source: Gartner ) Looking at the Hype Cycle for artificial intelligence, focusing on the blue dots in the cycle, those are topics of interest in the next two to five years.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Monte Carlo

MAY 17, 2023

To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Some of these data observability use cases will be more popular and valuable than others, but each one listed below has been successfully leveraged in production by a data team likely similar to your own.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

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Monte Carlo

MAY 17, 2023

To help clarify, we reviewed hundreds of data observability deployments to identify 61 real data observability use cases and benefits. Some of these data observability use cases will be more popular and valuable than others, but each one listed below has been successfully leveraged in production by a data team likely similar to your own.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52