O'Reilly Media - Ideas

MAY 1, 2019

Spotlight on Data: Caching Big Data for Machine Learning at Uber with Zhenxiao Luo , June 17. Data science and data tools. Practical Linux Command Line for Data Engineers and Analysts , May 20. First Steps in Data Analysis , May 20. Data Analysis Paradigms in the Tidyverse , May 30.

Course 45

Course Training Artificial Inteligence Machine Learning 45

Altexsoft

JUNE 25, 2019

If we look at the hierarchy of needs in data science implementations, we’ll see that the next step after gathering your data for analysis is data engineering. This discipline is not to be underestimated, as it enables effective data storing and reliable data flow while taking charge of the infrastructure.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

ParkMyCloud

JANUARY 17, 2020

AWS Certified DevOps Engineer – Professional. Intended for individuals who have a DevOps engineer role and two or more years of experience operating, provisioning and managing AWS environments. AWS Certified Big Data – Speciality. Design and maintain Big Data. GCP Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

ParkMyCloud

MAY 29, 2019

BI Analyst can also be described as BI Developers, BI Managers, and Big Data Engineer or Data Scientist. IoT Engineer. The main responsibility of IoT engineers is to help businesses keep up with IoT technology trends. The Future of Cloud Computing Jobs.

Trends 72

Trends Cloud IoT Artificial Inteligence 72

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 8

Conference Data Data Engineering Artificial Inteligence 8

BPM

JANUARY 18, 2019

As we move into a world that is more and more dominated by technologies such as big data, IoT, and ML, more and more processes will be started by external events. AI-enabled data engines will provide insight about what processes can be redesigned and/or automated. Lloyd Dugan BPM.com [link]. 2019, oh my!

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

AUGUST 22, 2022

A data fabric is an architecture design presented as an integration and orchestration layer built on top of multiple disjointed data sources like relational databases , data warehouses , data lakes, data marts , IoT , legacy systems, etc., to provide a unified view of all enterprise data.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

Altexsoft

OCTOBER 24, 2019

An enterprise data warehouse is a unified repository for all corporate business data ever occurring in the organization. Reflects the source data. EDW sources data from its original storages like Google Analytics, CRMs, IoT devices, whatever these can be. Subject-oriented data. Virtual data warehouse.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

DECEMBER 9, 2020

Diagnostic analytics identifies patterns and dependencies in available data, explaining why something happened. Predictive analytics creates probable forecasts of what will happen in the future, using machine learning techniques to operate big data volumes. Introducing data engineering and data science expertise.

Analytics 102

Analytics Technical Review Technology Applications 102

Datavail

SEPTEMBER 8, 2022

Big data presents challenges in terms of volume, velocity, and variety—but that doesn’t mean you have to suffer from a bloated IT ecosystem to address these challenges. In fact, many businesses can realize significant advantages from streamlining their data integration pipelines, trimming away unnecessary tools and services.

Data 40

Data Nonprofit Quality Assurance Education 40