Cloudera

FEBRUARY 25, 2021

In our current landscape, businesses that have adopted a successful ML strategy are outperforming their competitors by over 9%. The implications of ML on the future of business are clear. However, only 4% of enterprise executives today report seeing success from their ML investment.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

Cloudera

DECEMBER 21, 2020

A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. Our data adventure starts with Shaun, a Data Scientist at a global bank. The Data Engineer.

Data 97

Data Virtualization Banking Data Engineering 97

Cloudera

MAY 27, 2021

“When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Mobilunity

NOVEMBER 24, 2021

The demand for specialists who know how to process and structure data is growing exponentially. In most digital spheres, especially in fintech, where all business processes are tied to data processing, a good big data engineer is worth their weight in gold. Who Is an ETL Engineer? Time-Efficiency.

Development 52

Development Storage Recruiting Architecture 52

Altexsoft

FEBRUARY 8, 2021

Analytics software can analyze the flow of goods to make recommendations on the optimal allocation of products and the most efficient routes to pick them. An analyst would assess your business processes, work with data sets from various sources, and create data-based recommendations on improving products, services, processes, etc.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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 Software Review Systems Review 115

O'Reilly Media - Ideas

MARCH 1, 2023

This year’s report on the O’Reilly learning platform takes a detailed look at how our customers used the platform. Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses.

Trends 135

Trends Technical Review Technology Software Review 135

Cloudera

NOVEMBER 2, 2020

Ad hoc exploration and scheduled reports. What is Real Time Data Warehousing? The simplest way to describe a RTDW is that it looks and feels like a normal data warehouse, but everything is faster even while massive scale is maintained. a data mart) or more comprehensively as an Enterprise Data Warehouse.

Data 90

Data Analytics Storage Big Data 90

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

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