O'Reilly Media - Ideas

JUNE 4, 2019

Better Business Writing , July 15. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Product Management for Enterprise Software , July 18. Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12.

Course 94

Course Training Artificial Inteligence Software Review 94

Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

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

Cloudera

FEBRUARY 22, 2021

This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . CDP helps clients reduce (or avoid entirely) costs for ancillary technology tools that are used in conjunction with competing analytical solutions.

Data 82

Data Analytics Government Technical Review 82

Cloudera

NOVEMBER 2, 2020

Data streamed in is queryable immediately, in an optimal manner. Data streamed in is queryable in conjunction with historical data, avoiding need for Lambda Architecture. Data Model. Conventional enterprise data types. Figure 1 below shows a standard architecture for a Real-Time 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

O'Reilly Media - Ideas

JUNE 5, 2019

Better Business Writing , July 15. Spotlight on Data: Data Storytelling with Mico Yuk , July 15. Product Management for Enterprise Software , July 18. Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12.

Course 67

Course Training Artificial Inteligence Software Review 67

Altexsoft

NOVEMBER 23, 2021

Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization. To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization.

Virtualization 69

Virtualization Tools Data Architecture 69

Altexsoft

FEBRUARY 8, 2021

In other cases, you might discover that you have the data, but it has to be prepared and digitized (like paper documents or qualitative data from emails or social media). Data can be obtained from both inside your organization across different departments and outside it. Make sure to take everything into account.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

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

Apiumhub

APRIL 1, 2021

Business Analytics: The Science Of Data – Driven Decision Making by U Dinesh Kumar. Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners by Dursun Delen. The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science by Alex Gorelik.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

O'Reilly Media - Ideas

JANUARY 14, 2025

Building applications with RAG requires a portfolio of data (company financials, customer data, data purchased from other sources) that can be used to build queries, and data scientists know how to work with data at scale. Data engineers build the infrastructure to collect, store, and analyze data.

Trends 132

Trends Technology Security Artificial Inteligence 132

TechCrunch

APRIL 6, 2022

Ascend.io , a company developing data automation products for enterprise customers, has raised $31 million in a Series B round led by Tiger Global with participation from Shasta Ventures and existing investor Accel, it announced today. Rather, it was the ability to scale the productivity of the people who work with data.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

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 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

I aim to outline pragmatic strategies to elevate data quality into an enterprise-wide capability. Key recommendations include investing in AI-powered cleansing tools and adopting federated governance models that empower domains while ensuring enterprise alignment. Inconsistent business definitions are equally problematic.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153