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 84

Machine Learning Artificial Inteligence Enterprise Telecommunications 84

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 Architecture 115

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

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

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 97

Data Analytics Storage Big Data 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 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

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

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 78

ChatGPT Government Artificial Inteligence Business Intelligence 78

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

O'Reilly Media - Ideas

JANUARY 14, 2025

Welcome to our annual report on the usage of the OReilly learning platform. This report is based on the use of OReillys online learning platform from January 1, 2024, to September 30, 2024. The data in each graph is based on OReillys units viewed metric, which measures the actual use of each item on the platform.

Trends 130

Trends Technology Security Artificial Inteligence 130

TechCrunch

APRIL 6, 2022

based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of business analytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data. A screenshot of Ascend.io’s platform.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

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 144

Trends Technical Review Technology Software Review 144

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 10

Conference Data Data Engineering Big Data 10

CIO

APRIL 8, 2025

Fragmented systems, inconsistent definitions, outdated architecture and manual processes contribute to a silent erosion of trust in data. When financial data is inconsistent, reporting becomes unreliable. A compliance report is rejected because timestamps dont match across systems. Assign domain data stewards.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153

Xebia

JANUARY 24, 2025

Databricks is a powerful Data + AI platform that enables companies to efficiently build data pipelines, perform large-scale analytics, and deploy machine learning models. You can use cloud storage inventory services like Azure Storage Blob Inventory , which generates daily or weekly reports in CSV or Parquet format.

Storage 130

Storage Travel Azure Cloud 130