CIO

DECEMBER 11, 2024

This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process. Operational errors because of manual management of data platforms can be extremely costly in the long run.

Data 167

Data Technical Review Software Review Weak Development Team 167

TechCrunch

MARCH 22, 2021

Like similar startups, y42 extends the idea data warehouse, which was traditionally used for analytics, and helps businesses operationalize this data. At the core of the service is a lot of open source and the company, for example, contributes to GitLabs’ Meltano platform for building data pipelines.

Business Intelligence 244

Business Intelligence Software Review B2B Analytics 244

CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics tools.

Analytics 203

Analytics Data Analysis Business Analytics 203

Honeycomb

APRIL 23, 2025

These are going to require us all to learn some slightly different skillsto think about data management in different ways; ways more like how business analytics teams are accustomed to managing their data than the way ops teams do. Over the long run, I think observability is moving towards a data lake type model.

Weak Development Team 106

Weak Development Team Metrics Storage Engineering 106

Hu's Place - HitachiVantara

MAY 10, 2019

However, in the rush to do this, many of these systems have been poorly architected to address the total analytics pipeline. A Big Data Analytics pipeline– from ingestion of data to embedding analytics consists of three steps Data Engineering : The first step is flexible data on-boarding that accelerates time to value.

Data 90

Data Machine Learning Artificial Inteligence Weak Development Team 90

Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. AMPs are a revolutionary way to accelerate your ML initiatives. The work of a machine learning model developer is highly complex.

Machine Learning 84

Machine Learning Artificial Inteligence Enterprise Telecommunications 84