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Data Trends for 2023

Precisely

Read Here are the top data trends our experts see for 2023 and beyond. DataOps Delivers Continuous Improvement and Value In IDC’s spotlight report, Improving Data Integrity and Trust through Transparency and Enrichment , Research Director Stewart Bond highlights the advent of DataOps as a distinct discipline.

DataOps 52
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AIOps vs. MLOps: Harnessing big data for “smarter” ITOPs

IBM Journey to AI blog

Primary activities AIOps relies on big data-driven analytics , ML algorithms and other AI-driven techniques to continuously track and analyze ITOps data. It uses CI/CD pipelines to automate predictive maintenance and model deployment processes, and focuses on updating and retraining models as new data becomes available.

Big Data 106
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Why Lean Data Management Is Vital for Agile Companies

Pickl AI

Focusing only on what truly matters reduces data clutter, enhances decision-making, and improves the speed at which actionable insights are generated. Streamlined Data Pipelines Efficient data pipelines form the backbone of lean data management.

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Big data engineer

Dataconomy

Data collection and storage These engineers design frameworks to collect data from diverse sources and store it in systems like data warehouses and data lakes, ensuring efficient data retrieval and processing. Average salary overview The average salary for a Big Data Engineer in the U.S.