Precisely

FEBRUARY 10, 2023

Nearly two-thirds of data practitioners believe they are expected to make data-driven decisions, yet only 30% believe that their actions are genuinely supported by data analysis. As the drive toward data-driven business decisions continues, most executives are keenly aware of this trust gap.

DataOps 52

DataOps Data Observability ML ML 52

Alation

OCTOBER 12, 2021

Enterprise data analytics integrates data, business, and analytics disciplines, including: Data management. Data engineering. DataOps. … In the past, businesses would collect data, run analytics, and extract insights, which would inform strategy and decision-making. Evaluate and monitor data quality.

Analytics 52

Analytics Analytics Data Governance DataOps 52

AWS Machine Learning Blog

APRIL 17, 2023

For the purpose of this exercise, we use the Titanic dataset , a popular dataset in the ML community, which has now been added as a sample dataset within Data Wrangler. Solution overview Data Wrangler provides over 40 built-in connectors for importing data. The examples in this post represent a subset of the frameworks used.

AWS 102

AWS Python ML ML 102

AWS Machine Learning Blog

JULY 31, 2023

He works with customers to realize their data analytics and machine learning goals through adoption of DataOps and MLOps practices and solutions. He designs modern application architectures based on microservices, serverless, APIs, and event-driven patterns.

ML 98

ML ML Data Preparation Machine Learning 98

Pickl AI

DECEMBER 11, 2024

Governance and Compliance Adhering to governance and compliance standards is non-negotiable in lean data management. To protect sensitive information, establish clear policies for data access, usage, and retention. Regular audits and automated compliance checks can ensure your systems stay up-to-date with evolving regulations.

Data Silos 52

Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

Dataconomy

MAY 26, 2025

Key steps in data management An effective data management process involves several key steps: Data retention strategy: A clear decision on what data to keep for compliance and business needs. Data discarding policies: Identifying data that can be safely discarded when it is no longer needed.

Big Data 91

Big Data Big Data Apache Hadoop Data Quality 91