Cloudera

NOVEMBER 16, 2022

There is a clear consensus that data teams should express their goals and results in business value terms and not in technical, tactical descriptions, such as “improving data engineering” and “better master data management.” . Cloudera has written an ebook together with Corinium on the success factors for CDAOs.

Data 78

Data Insurance Metrics eBook 78

TIBCO - Connected Intelligence

MAY 20, 2020

While data science and ML processes are focused on building models, Model Ops focuses on operationalizing the entire data science pipeline within a business system. In fact, many organizations have a dedicated Model Ops Engineer to facilitate this process. Deploy/Integrate.

Data 72

Data Machine Learning Artificial Inteligence How To 72

Cloudera

FEBRUARY 17, 2021

As a matter of fact, these new challenges gave way to tremendous opportunities for businesses to optimize their key success metrics by leveraging technology. Streaming data (or data-in-motion) is one such technology space that thrived during these times.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Cloudera

SEPTEMBER 17, 2020

With growing disparate data across everything from edge devices to individual lines of business needing to be consolidated, curated, and delivered for downstream consumption, it’s no wonder that data engineering has become the most in-demand role across businesses — growing at an estimated rate of 50% year over year.

Data Engineering 102

Data Engineering Engineering Data Tools 102

DataRobot

MARCH 23, 2023

Ebook Building vs. Buying a Machine Learning Management Platform Download Now Working with a vendor will be beneficial. Should You Build or Buy an MLOps Platform? There are key considerations when looking into MLOps. How would it cope with scale and managing additional models? Use a cost-benefit analysis to explore ROI and risk.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Weak Development Team Software Review 52

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. Data engineering was the dominant topic by far, growing 35% year over year. Footnotes 1.

Trends 132

Trends Technical Review Technology Software Review 132