Altexsoft

FEBRUARY 8, 2021

How to reduce production time and cost? How to increase quality? How to use manpower and equipment more efficiently? Analytics in inventory management and sales. Having discussed the multiple ways that data analytics and business intelligence can optimize supply chain operations, it’s time for some practical advice.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Altexsoft

JANUARY 14, 2021

Modern cloud solutions, on the other hand, cover the needs of high performance, scalability, and advanced data management and analytics. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources. How to choose cloud data warehouse software: main criteria.

Backup 115

Backup Azure Software Review Architecture 115

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. Lastly, ask peers to review the algorithm; a different set of eyes might spot issues you missed.

Artificial Inteligence 119

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 119

O'Reilly Media - Ideas

JUNE 5, 2019

How to Be a Better Mentor , August 5. How to Give Great Presentations , August 13. How to Give Great Presentations , August 13. Understanding Business Strategy , August 14. Data science and data tools. Text Analysis for Business Analytics with Python , June 12. Debugging Data Science , June 26.

Course 64

Course Training Artificial Inteligence Software Review 64

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. Develop a DWH architecture and administration.

Development 52

Development Storage Recruiting Architecture 52

Cloudera

NOVEMBER 2, 2020

Data Hub – . Data integration, distribution, and routing engine. Glue combining multiple data engines into end-to-end flows. Data Hub – . Streaming Analytics Template. Engine providing stateful analytics computations over data streams. Flow Management Template.

Data 97

Data Analytics Storage Big Data 97

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

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. How to get started with data virtualization.

Virtualization 69

Virtualization Tools Data Architecture 69

Apiumhub

APRIL 1, 2021

This book will help you become a contributor on a data science team, deploy a structured lifecycle approach to data analytics problems, apply appropriate analytic techniques and tools to analyzing big data, learn how to tell a compelling story with data to drive business action.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

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

O'Reilly Media - Ideas

JANUARY 14, 2025

As generative AI improves, this line of reasoning contends, we will no longer need to write complex prompts that specify exactly what we want the AI to do and how to do it. Prompts will be less sensitive to exactly how theyre worded; changing a word or two will no longer give a completely different result.

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.

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 9

Conference Data Data Engineering Big Data 9