Cloudera

OCTOBER 23, 2024

In August, we wrote about how in a future where distributed data architectures are inevitable, unifying and managing operational and business metadata is critical to successfully maximizing the value of data, analytics, and AI. It is a critical feature for delivering unified access to data in distributed, multi-engine architectures.

Data 84

Data Analytics Systems Review Architecture 84

TechCrunch

DECEMBER 10, 2021

Andrew Drach: I have been doing consulting in engineering and software on and off pretty much ever since I started coding. in engineering with a decade of experience leading engineering and research teams and is a certified Project Management Professional (PMP). Why do you think architecture design advice is important?

Weak Development Team 255

Weak Development Team Software Development Software Review Fractional CTO 255

O'Reilly Media - Data

APRIL 3, 2018

Companies continue to use data to improve decision-making (business intelligence and analytics) and for automation (machine learning and AI). This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies.

Machine Learning 240

Machine Learning Artificial Inteligence Company Case Study 240

Altexsoft

APRIL 23, 2019

The answer is business intelligence. In this article, we will discuss the actual steps of bringing business intelligence into your existing corporate infrastructure. You will learn how to set up a business intelligence strategy and integrate tools into your company workflow. What is business intelligence?

Business Intelligence 93

Business Intelligence Analytics Tools Strategy 93

Altexsoft

AUGUST 12, 2020

This article describes IoT through its architecture, layer to layer. Before we go any further, it’s worth pointing out that there is no single, agreed-upon IoT architecture. It varies in complexity and number of architectural layers depending on a particular business task. Major IoT building blocks and layers.

IoT 140

IoT Architecture Wireless Transportation 140

CIO

MARCH 6, 2024

SAP unveiled Datasphere a year ago as a comprehensive data service, built on SAP Business Technology Platform (BTP), to provide a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization.

Artificial Inteligence 194

Artificial Inteligence Generative AI Government Architecture 194

Datavail

APRIL 12, 2021

It supports many types of workloads in a single database platform and offers pluggable storage architecture for flexibility and optimization purposes. You can set up storage engines on a per-database instance or per-table basis. Here are some of the storage engines you can leverage in MariaDB for your development projects.

Storage 98

Storage Engineering Open Source Business Intelligence 98

TechCrunch

JANUARY 26, 2022

It plans to use the money to continue investing in its technology stack, to step up with more business development, and to hire more talent for its team, to meet what it believes are changing tides in the world of data warehousing. Another sign of its growth is a big hire that the company is making.

Analytics 218

Analytics Data Big Data Business Intelligence 218

TechCrunch

JUNE 1, 2022

Essentially, Coralogix allows DevOps and other engineering teams a way to observe and analyze data streams before they get indexed and/or sent to storage, giving them more flexibility to query the data in different ways and glean more insights faster (and more cheaply because doing this pre-indexing results in less latency).

Analytics 246

Analytics DevOps Storage Business Intelligence 246

TechCrunch

SEPTEMBER 29, 2022

In computing, a “data warehouse” refers to systems used for reporting and data analysis — analysis usually germane to business intelligence.) Other customers seek to speed up business intelligence queries by removing the need to search across multiple data sources and formats.

Enterprise 184

Enterprise Data Business Intelligence Analytics 184

CIO

JANUARY 22, 2025

This means not only learning about prompt engineering, but also remaining skeptical about some of the responses. Were going to identify and hire data engineers and data scientists from within and beyond our organization and were going to get ahead, he says. After all, hallucinations wont go away any time soon.

Weak Development Team 192

Weak Development Team Education Meeting Data 192

Altexsoft

DECEMBER 17, 2019

In the business sphere, a certain area of technology aims at helping people make the right decisions, by supporting them with the right data. This field is called business intelligence or BI. Business intelligence includes multiple hardware and software units that serve the same idea: take data and show it to the right people.

Business Intelligence 19

Business Intelligence Weak Development Team Systems Review Software Review 19

TechCrunch

DECEMBER 9, 2020

For many organizations, the shift to cloud computing has played out more realistically as a shift to hybrid architectures, where a company’s data is just as likely to reside in one of a number of clouds as it might in an on-premise deployment, in a data warehouse or in a data lake.

Data 253

Data Big Data Analytics Enterprise 253

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? Untangling Their ‘Spaghetti Architectures’ Retailers have long used back-end technologies to run specific aspects of their business. To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems.

Retail 217

Retail Minimum Viable Product Architecture Machine Learning 217

TechCrunch

FEBRUARY 2, 2022

But, as RudderStack CEO Soumyadeb Mitra argued when I talked to him ahead of today’s announcement, most of the existing customer data pipeline solutions were built for selling to marketing teams, using architectures that make it harder to build the advanced applications that businesses are now looking for.

Data 204

Data Machine Learning Artificial Inteligence Architecture 204

TechCrunch

JANUARY 25, 2022

” Unlike Databricks, Dremio’s focus is squarely on SQL workloads, business analysts and mission-critical business intelligence. “A top priority for every business leader today is to become a data-driven company,” said Brian Dudley, partner at Adams Street Partne rs.

Data 208

Data Business Intelligence Enterprise Marketing 208

CIO

OCTOBER 10, 2024

“We established the IT, Cybersecurity, and Digital Transformation departments, built the center’s IT infrastructure and data centers, and developed several critical systems like ERP, CRM, and Business Intelligence (BI),” he notes.

Compliance 182

Compliance Infrastructure IoT Data Center 182

CIO

MARCH 9, 2022

They conveniently store data in a flat architecture that can be queried in aggregate and offer the speed and lower cost required for big data analytics. This dual-system architecture requires continuous engineering to ETL data between the two platforms. On the other hand, they don’t support transactions or enforce data quality.

Data 178

Data Artificial Inteligence Artificial Intelligence Analytics 178

TechCrunch

APRIL 13, 2021

.” And businesses want this very granular data to be reflected inside of their data warehouses, Brown noted, but he also stressed that Meroxa can expose this stream of data as an API endpoint or point it to a Webhook.

Data 248

Data Software Engineering Open Source Engineering 248

Altexsoft

FEBRUARY 8, 2021

These challenges can be addressed by intelligent management supported by data analytics and business intelligence (BI) that allow for getting insights from available data and making data-informed decisions to support company development. Develop business-specific analytics platform. A few more tips to consider.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

AWS Machine Learning - AI

NOVEMBER 22, 2024

The mandate of the Thomson Reuters Enterprise AI Platform is to enable our subject-matter experts, engineers, and AI researchers to co-create Gen-AI capabilities that bring cutting-edge, trusted technology in the hands of our customers and shape the way professionals work.

Generative AI 122

Generative AI Artificial Inteligence Knowledge Base AWS 122

Altexsoft

OCTOBER 30, 2021

Was Nikola Tesla a scientist or engineer? These men didn’t stop at scientific research and ended up conceptualizing or engineering their inventions. Engineers are not only the ones bearing helmets and operating on construction sites. Data science vs data engineering. Here, data scientists are supported by data engineers.

Data Engineering 98

Data Engineering Engineering Data Machine Learning 98

CIO

MAY 12, 2022

Supports larger data management architecture; modular options available. Turning good artificial intelligence algorithms into productive insights is the main goal of H2O.ai’s AI Cloud. A collection of open source and proprietary feature engineering tools help focus the algorithms on the most important parts of the data.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

Cloudera

AUGUST 30, 2022

Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Data Mesh: A type of data platform architecture that embraces the ubiquity of data in the enterprise by leveraging a domain-oriented, self-serve design.

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

CIO

DECEMBER 3, 2024

As the CIO of Beyond Bank, I’m accountable for all aspects of technology, across the business: banking, tech and data and business intelligence.

Banking 153

Banking Innovation Technology Strategy 153

CIO

DECEMBER 19, 2024

Some of the most common IT needs per specific sector within the broader climate technology space, according to Breckenridge, are: Renewable energy companies need cloud engineers and data scientists to make smart grids work and integrate renewables like wind and solar.

Artificial Inteligence 78

Artificial Inteligence Sustainability Energy IoT 78

CIO

AUGUST 18, 2022

Traditionally, organizations have maintained two systems as part of their data strategies: a system of record on which to run their business and a system of insight such as a data warehouse from which to gather business intelligence (BI). The lakehouse will also help with fraud prevention.

Data 210

Data Technical Advisors Technical Review Artificial Inteligence 210

TechCrunch

MAY 26, 2022

Insights gleaned from error-filled spreadsheets or business intelligence apps could lead to poor decisions that may be costly and damage the business,” Kratky told TechCrunch in an email interview. “Data lineage and observability are becoming the core component of any modern data architecture. billion by 2024.

Data 228

Data Weak Development Team Enterprise Analysis 228

Altexsoft

APRIL 22, 2020

So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. In this article we’ll explain what a data engineer is, the field of their responsibilities, skill sets, and general role description. We’ll also describe how data engineer’s are different from other related roles.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

CIO

NOVEMBER 9, 2022

One potential solution to this challenge is to deploy self-service analytics, a type of business intelligence (BI) that enables business users to perform queries and generate reports on their own with little or no help from IT or data specialists. It’s an asset “that responds to dynamic business requirements.”

Analytics 205

Analytics Metrics Government Business Intelligence 205

AWS Machine Learning - AI

MARCH 20, 2025

John Canada, VP of Engineering at Asure. Moreover, Amazon Bedrock offers integration with other AWS services like Amazon SageMaker , which streamlines the deployment process, and its scalable architecture makes sure the solution can adapt to increasing call volumes effortlessly.

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

Altexsoft

OCTOBER 24, 2019

The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Such practice is a futureproof way of storing data for business intelligence (BI) , which is a set of methods/technologies of transforming raw data into actionable insights.

Architecture 50

Architecture Enterprise Data Technical Review 50

CIO

FEBRUARY 2, 2024

Each tests capabilities and knowledge ranging from project management and data management processes to business intelligence and IT compliance. The organization offers 10 MDM courses, ranging from architecture and implementation to data profiling and data quality assessment. Informatica Master Data Management 10.3

Data 174

Data Course Government Study 174

CIO

JULY 26, 2023

While the Denver-based company’s cloud transformation long preceded Ligon’s arrival, with various business units adopting AWS and the IT team already developing cloud-native applications, in hiring Ligon, Re/Max’s top brass decided to “bring it all under control” of its first CIO.

Real Estate 148

Real Estate Data Generative AI Machine Learning 148

CTOvision

FEBRUARY 4, 2015

Track sessions will focus on: Enabling Business Results with Big Data — How to enable agency programs that will yield enormous value through big data to deliver actionable information and measureable results. Before joining NASA in 2003, Dan worked on highly parallel applications for the Department of Defense (DoD). Juliet Hougland.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Altexsoft

AUGUST 21, 2019

Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data. Using specific tools and practices, businesses implement these methods to generate valuable insights. And usually, it is carried out by a specific type of engineer — an ETL developer.

Development 44

Development Software Engineering Data Engineering Architecture 44

Abhishek Tiwari

JULY 20, 2019

When it comes to organising engineering teams, a popular view has been to organise your teams based on either Spotify's agile model (i.e. One thing stand-out to me is being intentional and practical about your engineering organisation design. squads, chapters, tribes, and guilds) or simply follow Amazon's two-pizza team model.

Engineering 61

Engineering Weak Development Team Software Review Technical Review 61