Altexsoft

JANUARY 14, 2021

Thanks to the capability of data warehouses to get all data in one place, they serve as a valuable business intelligence (BI) tool, helping companies gain business insights and map out future strategies. At the moment, cloud-based data warehouse architectures provide the most effective employment of data warehousing resources.

Backup 115

Backup Azure Software Review Architecture 115

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 best data engineers view their responsibilities through business and technical lenses. . Architect for scalability. Plan for failure.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Perficient

DECEMBER 7, 2023

Getting started in the “Headless BI” (Business Intelligence) world can be an exciting and transformative journey for any organization. These range from cloud-based solutions like AWS, Google Cloud, and Azure to specific BI tools like Tableau, Power BI, Pyramid Analytics, and Looker.

How To 52

How To Analytics Scalability Google Cloud 52

Altexsoft

JANUARY 22, 2020

A complete guide to business intelligence and analytics. The role of business intelligence developer. When we talk about traditional analytics, we mean business intelligence (BI) methods and technical infrastructure. BI is a practice of supporting data-driven business decision-making.

Analytics 20

Analytics Data IoT Analysis 20

Datavail

JULY 7, 2022

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Agility and scalability.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Openxcell

JANUARY 6, 2023

Instead of making substantial investments in databases, software, and hardware, businesses prefer to access their computing power over the internet or in the cloud. Just a few of the existing cloud services include servers, storage, databases, networking, software, analytics, and business intelligence. ServerSpace.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

APRIL 26, 2022

Not long ago setting up a data warehouse — a central information repository enabling business intelligence and analytics — meant purchasing expensive, purpose-built hardware appliances and running a local data center. This demand gave birth to cloud data warehouses that offer flexibility, scalability, and high performance.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

DataRobot

SEPTEMBER 14, 2021

Ensuring you can harness the power of your data, wherever it lives, you can implement DataRobot with major cloud providers including AWS , Google Cloud , and Azure. A Broad Set of Users: Integrate your preferred business intelligence partners and enterprise applications seamlessly to unite technical and non-technical users. “Our

Data Center 52

Data Center Cloud Google Cloud Analytics 52

Altexsoft

MARCH 30, 2023

Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others. Databricks lakehouse platform architecture.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. A subscriber is a receiving program such as an end-user app or business intelligence tool. Scalability. Scalability is one of Kafka’s key selling points. It links to the broker to be aware of and fetch certain updates.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Mobilunity

DECEMBER 9, 2024

Google Professional Machine Learning Engineer implies developers knowledge of design, building, and deployment of ML models using Google Cloud tools. Developers working in environments that apply Google Cloud for their intelligent solutions would benefit the most from it. AI solutions architect.

Engineering 52

Engineering Artificial Inteligence Machine Learning Artificial Intelligence 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Data Virtualization

SEPTEMBER 23, 2021

Organizations are increasingly turning to the cloud to take advantage of scalable yet elastic computing and storage resources. The availability and economics of the cloud for flexible and scalable high-performance environments has radically changed the way information architects envision the.

Cloud 52

Cloud Data Scalability Virtualization 52

Strategy Driven

MAY 26, 2021

Large corporations such as Amazon, Microsoft, and Google apply their own machine learning tools to their own business and have developed consumer-level AI suites for use by other businesses that don’t require knowledge of complicated AI programming and can be used for specific data analysis and modeling. Google Cloud AI.

Artificial Inteligence 34

Artificial Inteligence Machine Learning Tools Azure 34

Datavail

JULY 31, 2019

Hadoop was first released in 2011, when the big data landscape was significantly more challenging in terms of network latency and scalability. According to a 2018 survey by Cloud Foundry, use of container technology in production is now at 38 percent of companies and rising. From Hadoop to Kubernetes. Since version 2.6

Development 8

Development Big Data Open Source Google Cloud 8

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

Existek

NOVEMBER 22, 2021

Web apps have proven themselves as good performing, quickly responding, scalable, and easy to maintain. Web development is suitable for any business size, but the larger the company is, the more the application’s complexity grows. First of all, enterprise solutions have to be highly scalable and perform well. Cloud Platforms.

Web Development 52

Web Development UI/UX Weak Development Team Enterprise 52

Altexsoft

SEPTEMBER 21, 2023

By understanding these core concepts, you can better appreciate the scalability, robustness, and speed that Elasticsearch brings to data search and analytics. Elasticsearch advantages There are quite a few compelling benefits that Elasticsearch brings to the table, particularly regarding scalability, rich query language, and documentation.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

JULY 19, 2022

Through all these shifts, data mesh is called to solve the problems of centralized data platforms by giving more flexibility and independence, agility and scalability, cost-effectiveness, and cross-functionality. Data mesh can be utilized as an element of an enterprise data strategy and can be described through four interacting principles.

Architecture 52

Architecture Data Analytics Data Engineering 52

Existek

JANUARY 27, 2023

Scalability is also a significant challenge for financial services software development. Analytics and business intelligence (BI) systems are commonly used in the financial services industry to analyze large amounts of data and generate insights for informed business decisions. Contact us to get a free consultation.

Software Development 52

Software Development Trends Technology Software 52

Openxcell

DECEMBER 27, 2024

The company began its AI journey by collaborating with Google Cloud and played a crucial role in Formula 1. The team also has the skills and expertise to develop scalable, secure, and reliable AI solutions. The company aims to allow enterprises and businesses to reach the next level by adopting AI and data-driven solutions.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 40

O'Reilly Media - Ideas

JANUARY 14, 2025

SQL, the common language of all database work, is up 3.2%; Power BI was up 3.0%, along with the more general (and much smaller) topic Business Intelligence (up 5.0%). Its a good bet that many enterprises are trying to integrate AI into their systems or update legacy systems that are no longer scalable or maintainable.

Trends 131

Trends Technology Security Artificial Inteligence 131

Altexsoft

JULY 29, 2022

According to the study by the Business Application Research Center (BARC), Hadoop found intensive use as. Scalability. It lets you run MapReduce and Spark jobs on data kept in Google Cloud Storage (instead of HDFS); or. Oracle Big Data Service , offering customers a fully-managed Hadoop environment in the cloud.

Big Data 59

Big Data Data Google Cloud Open Source 59

Altexsoft

FEBRUARY 24, 2021

Google Cloud Healthcare API. Google introduced its Healthcare API in 2020 to enable seamless data exchange between existing health systems and apps hosted on Google Cloud. The Azure cloud services allow companies to create rich datasets and apply business intelligence tools.

Study 75

Study Survey Data Healthcare 75