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

Data Virtualization

JANUARY 19, 2023

The post Modernizing Data Analytics Architecture with the Denodo Platform on Azure appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information. Unfortunately, with data spread.

Azure 52

Azure Architecture Analytics Data 52

Perficient

MARCH 19, 2024

If you have built or are building a Data Lake on the Google Cloud Platform (GCP) and BigQuery you already know that BigQuery is a fully managed enterprise data warehouse that helps you manage and analyze your data with built-in features like machine learning, geospatial analysis, and business intelligence.

Data 111

Data Google Cloud Analytics Serverless 111

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 363

Budget Artificial Inteligence Technical Review VR 363

O'Reilly Media - Ideas

JANUARY 7, 2020

In the world of user-centric architecture philosophies, the simplest architecture of all is the single-tenant system. Another example is an internal system, such as a business intelligence platform, that you wish to bring out as a product externally. Continue reading Multi-single-tenant architectures in cloud.

Architecture 53

Architecture Cloud System Examples 53

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

OTS Solutions

JUNE 9, 2023

These applications are used to manage and streamline various business processes and operations, including customer relationship management, enterprise resource planning, enterprise resources planning, supply chain management, human resource management, and business intelligence and analytics. Key features of Node.js

Enterprise 130

Enterprise Applications Development Scalability 130

Apps Associates

JULY 14, 2023

Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services Pearson plc is the world’s learning company with more than 22,500 employees operating in 70 countries.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

Cloudera

JUNE 18, 2022

These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. In recent years, the term “data lakehouse” was coined to describe this architectural pattern of tabular analytics over data in the data lake.

Data 91

Data Analytics Open Source Architecture 91

Apps Associates

OCTOBER 8, 2021

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Outcome highlights: Alignment of the process and architecture with QuantCast Security.

AWS 52

AWS Disaster Recovery Backup Data Center 52

Altexsoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. machine learning and deep learning models; and business intelligence tools.

Data 87

Data Data Engineering Big Data Architecture 87

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 155

Machine Learning Artificial Inteligence Company Case Study 155

Cloudera

DECEMBER 10, 2020

Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. Appealing directly to end-users in the Lines of Business (LOBs), these solutions can dramatically shorten time to value, lower administrative burdens, and promise continuous agility in response to changing business demands.

Data 98

Data Technical Review Storage Systems Review 98

Apps Associates

APRIL 20, 2022

Outcome highlights: A secure and scalable environment with improved architecture that provides their customers uninterrupted services. . Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services.

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 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 78

Big Data Data Artificial Intelligence Artificial Inteligence 78

Apps Associates

MAY 18, 2021

This is a positive trend but with modern Cloud architectures sometimes the lines can get blurry between the two. avoid a ‘data swamp’); they wanted to reduce storage costs for the large volume of data that was being stored and they wanted a unified analytics front end to be able to analyze data in both data lakes and data warehouses.

Cloud 98

Cloud Data Azure Analytics 98

KitelyTech

FEBRUARY 3, 2021

Big data and data science are important parts of a business opportunity. Developing business intelligence gives them a distinct advantage in any industry. Therefore, the software must have an easily extendable architecture. Business Intelligence Services.

Big Data 52

Big Data Data Development Business Intelligence 52

Perficient

FEBRUARY 28, 2023

This included: First understanding and prioritizing the business and IT needs and challenges Defining the platform and program architecture, AND selecting the cloud platform and tools, And defining the program structure, project organization, and execution plan to implement the roadmap.

Healthcare 64

Healthcare Technical Review AWS Analytics 64

Protera

SEPTEMBER 13, 2022

Business intelligence managed services are an alternative for enterprisess without the maturity or bandwidth to manage a platform solution. Enterprise managed services are ongoing operational support services delivered by a third-party provider so that companies can stay focused on mission-critical business activities.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

Flexagon

MARCH 1, 2022

They are adopting new architectures, cloud services, applications , middleware, a nd tools tha t support the planning, testing, securing, and monitoring lifecycle. The COTS support includes traditional on-prem database, middleware, business intelligence, applications, and cloud services for infrastructure, platform, and software applications.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Apps Associates

OCTOBER 22, 2020

Capsule summary: Re-architect, migrate and re-platform complex Oracle E-Business Suite ERP environment from IBM AIX to AWS including multiple environments (production, non-production) with disaster recovery and backup, configuration of license manager. Outcome highlights: Alignment of the process and architecture with QuantCast Security.

AWS 40

AWS Disaster Recovery Backup Data Center 40

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 120

Machine Learning Artificial Inteligence How To Case Study 120

RapidValue

JUNE 26, 2020

Reporting solutions in Oracle has gradually evolved from BI Publisher to OBIEE (Oracle Business Intelligence Enterprise Edition) both on premise and cloud visualization and now Oracle Analytics PaaS solution. Excellent support for databases and data warehouses. Should be cloud-driven and ‘next-gen’ with NLP, AI/ML and self-tuning.

Analytics 72

Analytics Cloud Technical Review Data 72

Openxcell

OCTOBER 26, 2023

An enterprise data warehouse often accommodates many APIs such as Business Intelligence tools, ETL tools, data ingestion, and analytics tools. It’s essential to analytics on enterprise levels since businesses need to rely on a variety of data sources with varying models, data kinds, and rates at which information is generated.

Enterprise 52

Enterprise Data Technical Review Analytics 52

Apiumhub

MARCH 16, 2021

With more and more data available, it’s getting more difficult to focus on the information we really need and present it in an actionable way and that’s what business intelligence is all about. In this article we will talk about Business Intelligence tools, benefits & use cases. . What is Business Intelligence.

Business Intelligence 118

Business Intelligence Tools Artificial Inteligence Technical Review 118

TIBCO - Connected Intelligence

JULY 13, 2020

While COVID-19 presents a short-term hindrance, I recently simulated this experience with my friend Philip Moston, a business intelligence (BI) Architect and Solutions Consultant at TIBCO partner QuinScape, based in Dortmund, home to the highest concentration of breweries in Germany. . We primarily work in German-speaking regions.

Analytics 58

Analytics Data Virtualization Business Intelligence 58

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

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

Infinidat

MARCH 10, 2021

Re-Thinking the Storage Infrastructure for Business Intelligence. With digital transformation under way at most enterprises, IT management is pondering how to optimize storage infrastructure to best support the new big data analytics focus. Adriana Andronescu. Wed, 03/10/2021 - 12:42.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

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

Trigent

JUNE 20, 2022

McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. The larger businesses have complex analytics architecture and may require more data engineers. Some businesses are more data-intensive, including retail, healthcare, and financial services.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Altexsoft

MAY 6, 2022

When ice cream melts in your hands on a hot day, it can be a bit frustrating; but if a load of vaccines can’t be used because it went bad due to wrong storage or transportation conditions, the results are a lot more serious, if not fatal. So, it’s important that all the parties of supply chains (3PLs, carriers, storage facilities, etc.)

Transportation 52

Transportation How To Pharmaceuticals Storage 52

Cloudera

AUGUST 31, 2021

While this “data tsunami” may pose a new set of challenges, it also opens up opportunities for a wide variety of high value business intelligence (BI) and other analytics use cases that most companies are eager to deploy. . Traditional data warehouse vendors may have maturity in data storage, modeling, and high-performance analysis.

Data 82

Data Analytics Cloud Technical Review 82

CTOvision

JANUARY 18, 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 113

Fractional CTO Program Management Programming Big Data 113

Datavail

JULY 14, 2022

It is constantly feeding corporate databanks with up-to-the-minute information, yet because its flow is transitory, the intelligence it offers isn’t available for use until after it’s been captured, cleaned, and integrated into standard data analysis programs. Understand the Status of your Data.

Data 52

Data AWS Analytics Programming 52

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks. Metadata storage usually implies developing a specialized repository. Metadata storage.

Tools 59

Tools Technical Review Software Review Systems Review 59

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