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

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 205

Analytics Artificial Inteligence Artificial Intelligence Hardware 205

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

TechCrunch

DECEMBER 14, 2021

After that, there are different business intelligence, reporting and data visualization tools that help you take advantage of the data that you have stored in your warehouse. First, they adopt a data warehouse to centralize all current and historical data under the same roof.

Data 234

Data Telecommunications Transportation Analysis 234

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. Data platforms.

Machine Learning 239

Machine Learning Artificial Inteligence Company Case Study 239

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

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.

Artificial Inteligence 177

Artificial Inteligence Data Artificial Intelligence Analytics 177

CIO

MAY 12, 2022

Supports larger data management architecture; modular options available. The tool builds heavily on business intelligence and reporting by treating predictions as just another column in the analytics presentation. The tools work with the company’s larger product line designed to support data gathering, integration, and storage.

Analytics 206

Analytics Tools Artificial Inteligence Open Source 206

Perficient

NOVEMBER 17, 2024

No single platform architecture can satisfy all the needs and use cases of large complex enterprises, so SAP partnered with a small handful of companies to enhance and enlarge the scope of their offering. SAP Datasphere is designed to simplify data landscapes by creating a business data fabric. What is SAP Datasphere?

Artificial Inteligence 59

Artificial Inteligence Machine Learning Architecture Analytics 59

CIO

NOVEMBER 22, 2022

Are they successfully untangling their “spaghetti architectures”? The chain is rolling out new hand-held devices that allow associates to easily check pricing and inventory availability in hand or from more than 40 feet away, which is helpful when serving customers and locating products in overhead storage.

Retail 217

Retail Minimum Viable Product Architecture Artificial Inteligence 217

AWS Machine Learning - AI

MARCH 20, 2025

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. This is powered by the web app portion of the architecture diagram (provided in the next section).

Generative AI 92

Generative AI Artificial Inteligence Metrics AWS 92

Cloudera

AUGUST 30, 2022

Agencies are plagued by a wide range of data formats and storage environments—legacy systems, databases, on-premises applications, citizen access portals, innumerable sensors and devices, and more—that all contribute to a siloed ecosystem and the data management challenge. . Modern data architectures. Forrester ).

Architecture 79

Architecture Data Artificial Inteligence Artificial Intelligence 79

CIO

MARCH 8, 2023

As companies digitally transform and steer toward becoming data-driven businesses, there is a need for increased computing horsepower to manage and extract business intelligence and drive data-intensive workloads at scale. The challenge: making complex compute-intensive technology accessible for mainstream use.

Performance 148

Performance Artificial Inteligence Storage Systems Review 148

Datavail

OCTOBER 18, 2022

You can’t have superior “Business Intelligence” (BI) without excellent data retrieval, organization, and management. Data discovery is an element of data management , and managing data is the fundamental concept underscoring the value of business intelligence.

Business Intelligence 52

Business Intelligence Data Architecture Storage 52

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Similar to humans companies generate and collect tons of data about the past.

Architecture 50

Architecture Enterprise Data Technical Review 50

CIO

SEPTEMBER 14, 2023

Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. But data engineers also need soft skills to communicate data trends to others in the organization, and to help the business make use of the data it collects. What is a data engineer?

Data Engineering 203

Data Engineering Analytics Engineering Data 203

O'Reilly Media - Data

JULY 23, 2018

The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. Rationalizing Risk in AI/ML. Case studies.

Machine Learning 182

Machine Learning Artificial Inteligence How To Case Study 182

CIO

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Government 214

Government Data Technical Review Policies 214

AWS Machine Learning - AI

DECEMBER 4, 2024

Through simple conversations, business teams can use the chat agent to extract valuable insights from both structured and unstructured data sources without writing code or managing complex data pipelines. The following diagram illustrates the conceptual architecture of an AI assistant with Amazon Bedrock IDE.

Generative AI 106

Generative AI Applications Technical Review Software Review 106

CIO

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). This should secure our business strategy for the next five years and longer.”

Budget 218

Budget Artificial Inteligence Technical Review VR 218

Xebia

JANUARY 19, 2023

. – Jesse Anderson The data engineering field could be thought of as a superset of business intelligence and data warehousing that brings more elements from software engineering. The data engineer is also expected to create agile data architectures that evolve as new trends emerge.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Altexsoft

JANUARY 14, 2021

From simple mechanisms for holding data like punch cards and paper tapes to real-time data processing systems like Hadoop, data storage systems have come a long way to become what they are now. For over 30 years, data warehouses have been a rich business-insights source. Data warehouse architecture. Is it still so?

Backup 115

Backup Azure Software Review Architecture 115

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 23, 2021

Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. A data warehouse (DW) is a unified storage for all corporate data.

Architecture 52

Architecture Data Storage IoT 52

CIO

JANUARY 12, 2023

An edge computing architecture can begin to help solve these problems. Here’s how edge computing works: a percentage of storage and compute resources move closer to the source of the data and away from the data center. 2] As with any advancement in technology, edge computing comes with benefits and drawbacks.

Technical Review 112

Technical Review Technology Innovation Data Center 112

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. Information Builders helps organizations transform data into business value. Eddie Garcia. Audie Hittle. where he was their CSO.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Altexsoft

AUGUST 21, 2019

Using specific tools and practices, businesses implement these methods to generate valuable insights. One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Data warehouse architecture.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

APRIL 16, 2021

As the topic is closely related to business intelligence (BI) and data warehousing (DW), we suggest you to get familiar with general terms first: A guide to business intelligence. This could be a transactional database or any other storage we take data from. Online Analytical Processing Architecture.

Analytics 98

Analytics Analysis Storage Business Intelligence 98

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. The advantages provide the foundation for the modern data lakehouse architectural pattern. You will have access to on-demand compute and storage at your discretion.

Government 109

Government Enterprise Strategy Data 109

Altexsoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Architecture 52

Architecture Data Storage Machine Learning 52

Dell EMC

MAY 28, 2020

When I started in this work, the main business challenge was how to handle the explosion of data with ever-growing data sets and, most importantly, how to gain business intelligence in as close to real time as possible. The effort to solve these business challenges led the way for a ground-breaking architecture called.

Big Data 97

Big Data Data Artificial Inteligence Artificial Intelligence 97

elsua: The Knowledge Management Blog

JUNE 4, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

elsua: The Knowledge Management Blog

JUNE 14, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

elsua: The Knowledge Management Blog

JUNE 14, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

elsua: The Knowledge Management Blog

JULY 1, 2008

Toolbox for IT Join Now / Sign In My Home Posts Connections Groups Blogs People Communities Vendors Messages Profile Achievements Journal Blog Bookmarks Account / E-mails Topics Business Intelligence C Languages CRM Database IT Management and Strategy Data Center Data Warehouse Emerging Technology and Trends Enterprise Architecture and EAI ERP Hardware (..)

Wireless 63

Wireless Linux Data Center Journal 63

Altexsoft

APRIL 22, 2020

The data can be further applied to provide value for machine learning , data stream analysis , business intelligence , or any other type of analytics. To give you an idea of what a data platform can be, and which tools are used to process data, let’s quickly outline some general architectural principles.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69