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.

Architecture 52

Architecture Data Storage Machine Learning 52

Apps Associates

JULY 14, 2023

Capsule summary: Re-architect and migrate North America Operations across 3 data centers (USA, Canada) to AWS Cloud hosting environment including all compute, network, storage, telecomm, mail exchange. We will guide you through the transformation process, including licensing , security, cost management, architecture, and governance.

Disaster Recovery 52

Disaster Recovery Cloud AWS Backup 52

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. Personas using Analytics should be agile and easy for business users to configure dashboard reports.

Analytics 72

Analytics Cloud Technical Review Data 72

Flexagon

MARCH 1, 2022

Enterprises continue to shift to more agile and continuous software development and delivery. What these organizations had in common is that they sought a solution to address their current tech stack and IT landscape while easing adoption of emerging technology and agile processes for faster and more effective continuous delivery.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

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

Openxcell

JANUARY 6, 2023

Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. Cloud storage functions by allowing users to access and download data on any selected device, such as a laptop, tablet, or smartphone, via an Internet service connection. Public cloud.

Architecture 52

Architecture Cloud Storage Google Cloud 52

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

OCTOBER 8, 2021

Capsule summary: Architect and create data center in AWS GovCloud to host mission-critical ERP environment centered on Oracle E-Business Suite and Agile enterprise applications, other related applications, databases and tech stack across multiple environments (production, non-production) with disaster recovery and backup.

AWS 52

AWS Disaster Recovery Backup Data Center 52

O'Reilly Media - Data

JULY 23, 2018

Executive Briefing: from Business to AI—missing pieces in becoming "AI ready ". Executive Briefing: Agile for Data Science teams. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics. "Machine Learning in the enterprise". Case studies.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Tandem

AUGUST 9, 2023

Disconnect between business and IT, resulting in a lack of data culture Silos often form when people are left to find their own solutions, creating a lack of collaboration and introducing productivity barriers that hinder growth. Data Storage and Management Systems: These systems are used for storing, retrieving, and managing data.

Data 52

Data Culture Analysis Machine Learning 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 117

Business Intelligence Tools Artificial Inteligence Technical Review 117

Datavail

SEPTEMBER 28, 2022

Increasing business agility: 56%. Streamlining and automating business processes: 49%. You also need to address the topic of data governance to ensure that everyone in the organization who is involved in data management is using consistent rules for access, collection, storage, and analysis. Improving sales: 44%.

Data 40

Data Business Intelligence Government Analytics 40

Apps Associates

APRIL 20, 2022

Capsule summary: Architect and create data center in AWS GovCloud to host mission-critical ERP environment centered on Oracle E-Business Suite and Agile enterprise applications, other related applications, databases and tech stack. across multiple environments (production, non-production) with disaster recovery and backup.

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 52

Sunflower Lab

MARCH 13, 2024

Warehouse Capacity Dashboard : The Warehouse Capacity Dashboard tracks warehouse capacity utilization, storage space availability, and warehouse throughput. SMBs can monitor warehouse occupancy rates, assess storage space utilization, and identify areas for optimization to maximize warehouse efficiency.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

CTOvision

JULY 31, 2013

By Ryan Kamauff Peter Schlampp, the Vice President of Products and Business Development at Platfora, explains what the Hadoop Big Data reservoir is and is not in this webinar that I watched today. Knowing what the HDR is and is not is key to pulling out business intelligence insights and analytics.

Big Data 91

Big Data Data Business Intelligence Analytics 91

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.

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.

Enterprise 130

Enterprise Applications Development Scalability 130

Apps Associates

OCTOBER 22, 2020

Capsule summary: Architect and create data center in AWS GovCloud to host mission-critical ERP environment centered on Oracle E-Business Suite and Agile enterprise applications, other related applications, databases and tech stack across multiple environments (production, non-production) with disaster recovery and backup.

AWS 40

AWS Disaster Recovery Backup Data Center 40

Actian

MAY 28, 2019

One of the most important parts of the data warehouse is the set of analytics capabilities that it provides – this includes both traditional business intelligence and reporting solutions as well as modern technology, such as AI and Machine Learning. Scalability – Expand your storage footprint as you acquire more data.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

CTOvision

FEBRUARY 4, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. Information Builders helps organizations transform data into business value.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

InfoBest

JULY 18, 2018

MongoDB is currently the most popular NoSQL platform and it helps companies like Expedia, Forbes, MetLife or TheGuardian extend their services in areas like the Internet of Things or Business Intelligence. Also, NoSQL has become more and more popular when developing AGILE (quick iterations, no downtime).And CouchDB (Apache).

Engineering 61

Engineering Technical Review PHP Software Review 61

CTOvision

JANUARY 18, 2015

Dr. Daniel Duffy is head of the NASA Center for Climate Simulation (NCCS, Code 606.2), which provides high performance computing, storage, networking, and data systems designed to meet the specialized needs of the Earth science modeling communities. Information Builders helps organizations transform data into business value.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Altexsoft

APRIL 13, 2023

You can read the details on them in the linked articles, but in short, data warehouses are mostly used to store structured data and enable business intelligence , while data lakes support all types of data and fuel big data analytics and machine learning. into the digital twin.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Altexsoft

MARCH 16, 2023

Modern asset tracking systems allow business operators and managers to always be on top of their assets’ location, condition, maintenance status, and performance, having access to all collected data in centralized storage. So let’s dive deeper into the technicalities. But there are also other important aspects to decide on.

Technical Review 52

Technical Review Technology Software Review Systems Review 52

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account.

Government 103

Government Enterprise Strategy Data 103

Coforge

AUGUST 2, 2019

As Technology Operations Manager of the Securities Sales & Trading business unit of a global investment bank, I was forced to ponder over how agile we were in responding to the needs of the business. Local and regional regulations around data access, storage and management must be carefully analysed and taken into account.

Cloud 8

Cloud Infrastructure Agile Architecture 8

Hu's Place - HitachiVantara

APRIL 12, 2018

The key requirements for Data Center Modernization are an agile data infrastructure that is cloud aware and container integrated, data governance which ensures that data is continuously available and adheres to compliance objectives, operation intelligence to provide deeper insights, and automation to optimize and accelerate innovation.

Data Center 40

Data Center Storage Data Compliance 40

Kaseya

NOVEMBER 9, 2023

With the cloud, users and organizations can access the same files and applications from almost any device since the computing and storage take place on servers in a data center instead of locally on the user device or in-house servers. It enables organizations to operate efficiently without needing any extensive internal infrastructure.

Cloud 105

Cloud Disaster Recovery Artificial Inteligence Infrastructure 105

Cloudera

SEPTEMBER 23, 2022

The first is near unlimited storage. Leveraging cloud-based object storage frees analytics platforms from any storage constraints. Let’s dive into the characteristics of these PaaS deployments: Hardware (compute and storage) : With PaaS deployments, the data lakehouse will be provisioned within your cloud account.

Data 52

Data Storage Analytics Budget 52

Altexsoft

FEBRUARY 10, 2021

It covers the entire data analytics lifecycle, from data extraction to visualization and reporting, using Agile practices to speed up business results. How DataOps relates to Agile, DevOps, and MLOps. Seeking to speed up delivery of trustworthy data insights, DataOps takes the cue and incorporates Agile into data analytics.

Analytics 75

Analytics DevOps Development Software Review 75

Cloudera

JANUARY 21, 2021

With CDW, as an integrated service of CDP, your line of business gets immediate resources needed for faster application launches and expedited data access, all while protecting the company’s multi-year investment in centralized data management, security, and governance. Separate storage.

Analytics 93

Analytics Storage Technical Review Virtualization 93

Cloudera

OCTOBER 25, 2022

Cloud data lakehouses provide significant scaling, agility, and cost advantages compared to cloud data lakes and cloud data warehouses. The cloud data lakehouse brings multiple processing engines (SQL, Spark, and others) and modern analytical tools (ML, data engineering, and business intelligence) together in a unified analytical environment.

Cloud 52

Cloud Data Firewall AWS 52

Cloudera

OCTOBER 26, 2017

Become more agile with business intelligence and data analytics. Business intelligence (BI) and analytics in the cloud is an area that has gained the attention of many organizations looking to provide a better user experience for their data analysts and engineers. Published originally on O’Reilly.com.

Cloud 42

Cloud Data Storage Analytics 42

Protera

MAY 23, 2023

There are several quality cloud providers on the market, but you want to choose the one that best aligns with your unique business requirements and objectives. Other areas of focus to this end could include security, performance efficiency, scalability, and of course cost.

Cloud 52

Cloud Testing Data Center Systems Review 52

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Hybrid and Multi-cloud Benefits Hybrid and multi-cloud strategies offer flexibility, scalability, and agility by providing the freedom to choose where and how to deploy workloads, without the complexity and delays of acquiring and deploying infrastructure and operations resources.

Cloud 49

Cloud AWS Azure Data Center 49

Cloudera

DECEMBER 2, 2020

With more than 25TB ingested from over 200+ different data sources, Telkomsel knew an agile and cost-efficient infrastructure was key to pursuing a digital-first strategy. . To kick start its mission to become a digital telco company, it turned to Cloudera to enable more cost-effective data storage.

Data 64

Data Telecommunications Analytics Mobile 64

Altexsoft

JULY 19, 2022

This basic principle corresponds to that of agile software development or approaches such as DevOps, Domain-Driven Design, and Microservices: DevOps (development and operations) is a practice that aims at merging development, quality assurance, and operations (deployment and integration) into a single, continuous set of processes.

Architecture 52

Architecture Data Analytics Data Engineering 52