O'Reilly Media - Ideas

JUNE 4, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Understanding Business Strategy , August 14.

Course 66

Course Training Artificial Inteligence Software Review 66

Cloudera

FEBRUARY 25, 2021

AMPs move the starting line for any ML project by enabling data scientists to start with a full end-to-end project developed for a similar use case, including a trained and deployed ML model, as well as prebuilt predictive business applications, out of the box. Deep Learning for Image Analysis.

Machine Learning 84

Machine Learning Artificial Inteligence Telecommunications Enterprise 84

O'Reilly Media - Ideas

JUNE 5, 2019

Fundamentals of Machine Learning and Data Analytics , July 10-11. Essential Machine Learning and Exploratory Data Analysis with Python and Jupyter Notebook , July 11-12. Real-Time Streaming Analytics and Algorithms for AI Applications , July 17. Understanding Business Strategy , August 14.

Course 50

Course Training Artificial Inteligence Software Review 50

Apiumhub

APRIL 1, 2021

Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar. It starts with explaining about the digital age, data mining and then moves to explain the kinds of data that can be mined, the patterns that can be mined, for example, cluster analysis, predictive analysis, correlations, etc.,

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Altexsoft

JANUARY 14, 2021

A data warehouse is often abbreviated as DW or DWH. You may also find it under the name of an enterprise data warehouse (EDW). It is usually created and used primarily for data reporting and analysis purposes. As such, it is possible to retrieve old archived data if needed. Data warehouse architecture.

Backup 115

Backup Azure Architecture Software Review 115

Altexsoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Self-service capabilities for all business users.

Virtualization 69

Virtualization Tools Data Architecture 69

Kentik

SEPTEMBER 5, 2017

To briefly review, Interface Classification enables an organization to quickly and efficiently assign a Connectivity Type and Network Boundary value to every interface in the network, and to store those values in the Kentik Data Engine (KDE) records of each flow that is ingested by Kentik Detect.

Transportation 40

Transportation Network Analysis Groups 40

Cloudera

NOVEMBER 2, 2020

Optimized access to both current data and historical data. Time Series and Event Analytics Specialized RTDW. Sometimes you know that there is always a time element to the data events and to the analysis, and you know in advance the types of queries your users will run. Data Hub – . Data Hub – .

Data 96

Data Analytics Storage Big Data 96

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. The term “ML” is No.

Conference 8

Conference Data Data Engineering Big Data 8

O'Reilly Media - Ideas

MARCH 1, 2023

Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. Data engineering was the dominant topic by far, growing 35% year over year. Although these certifications aren’t as popular, their growth is an important trend.

Trends 135

Trends Technical Review Technology Software Review 135