Honeycomb

MARCH 6, 2024

Challenge Phorest wanted a tool to help foster a culture of observability among the engineers at an affordable and predictable price. With their application stack hosted on AWS, Phorest delivers a premier software solution that empowers their salon and spa business customers to thrive.

Culture 58

Culture Software Review Systems Review Technical Review 58

Cloudera

NOVEMBER 28, 2017

However, different departments or user groups may have access to different subsets of data, making it difficult to join and analyze data between them and limiting collaboration between different teams (such as for workflows requiring data engineers, data scientists, and SQL users).

Analytics 40

Analytics Cloud Data Data Engineering 40

Cloudera

FEBRUARY 17, 2021

Spin up clusters of NiFi, Kafka, or Flink very quickly onto your public cloud environments on AWS or Azure. An information-packed set of sessions that explained everything from the fundamentals of Flink to the most advanced concepts and some hands-on demos. If you are interested, you can watch it on-demand as well.

Part-Time VPE 60

Part-Time VPE Analytics Leadership eBook 60

Altexsoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

Weak Development Team 52

Weak Development Team Technical Review Software Review Systems Review 52

DataRobot

SEPTEMBER 14, 2021

AI Cloud brings together any type of data, from any source, giving you a unique, global view of insights that drive your business. All of this is part of a unified, integrated platform spanning data engineering, machine learning, decision intelligence, and continuous AI – the entire AI lifecycle.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

DataRobot

OCTOBER 3, 2017

Enterprise data architects, data engineers, and business leaders from around the globe gathered in New York last week for the 3-day Strata Data Conference , which featured new technologies, innovations, and many collaborative ideas. 2) When data becomes information, many (incremental) use cases surface.

Trends 52

Trends Azure Conference Media 52

John Snow Labs

MAY 24, 2023

The two important functions of this tool are: – Performing different types of labeling with various data formats. LabelBox LabelBox is an efficient AI Data Engine platform for AI assisted labeling, data curation, model training, and more. – It offers documentation and live demos for ease of use.

Tools 52

Tools Machine Learning Artificial Inteligence Software Review 52

O'Reilly Media - Ideas

MARCH 31, 2020

An AI pilot project, even one that sounds simple, probably won’t be something you can demo quickly. A demo, or even a first release, can be based on heuristics or simple models (linear regression, or even averages). Having something you can demo takes some of the pressure off your machine learning team.

Product Management 139

Product Management Artificial Inteligence Machine Learning Software Review 139

Altexsoft

OCTOBER 8, 2021

To make a more informed decision, enquire about demos and do your own in-depth research. Oracle Data Integrator, IBM InfoSphere, Snaplogic, Xplenty, and. There are also out-of-the-box connectors for such services as AWS, Azure, Oracle, SAP, Kafka, Hadoop, Hive, and more. Data profiling and cleansing. Talend Open Studio.

Tools 52

Tools Data Software Review Open Source 52

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” We also see another important trend.

Trends 111

Trends Technical Review Technology Artificial Inteligence 111

Daniel Bryant

SEPTEMBER 13, 2019

What was worth noting was that (anecdotally) even engineers from large organisations were not looking for full workload portability (i.e. There were also two patterns of adoption of HashiCorp tooling I observed from engineers that I chatted to: Infrastructure-driven?

Infrastructure 8

Infrastructure Azure Software Engineering Cloud 8