Datavail

JULY 7, 2022

The trends are clear: more and more companies are adopting cloud analytics to satisfy their increasing need for cutting-edge business insights. For example, the global cloud analytics market size was $19.04 There are many explanations for why businesses of all sizes and industries are shifting to cloud analytics.

Analytics 52

Analytics Artificial Inteligence Cloud Artificial Intelligence 52

Datavail

AUGUST 2, 2022

Considering a move to cloud analytics? You’re not alone—and if you’re like many businesses, your IT budget is a major reason why. Before you dive in headfirst, however, it’s important to understand what a cloud analytics migration will mean for your IT expenses. What are the Costs of Cloud Analytics? Analytics compute.

Analytics 52

Analytics Cloud Artificial Inteligence How To 52

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. This is where Carto comes along with a product specialized on spatial analytics. Companies use products like Amazon Redshift, Google BigQuery or Snowflake.

Data 234

Data Telecommunications Transportation Analysis 234

RapidValue

JUNE 26, 2020

Analytics is all about meaningful information at your fingertips. 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. Leveraging OAC & OADW for Agile Analytics.

Analytics 72

Analytics Cloud Technical Review Data 72

Altexsoft

DECEMBER 9, 2020

Still, today, according to Deloitte research, insight-driven companies are fewer than those not using an analytical approach to decision-making, even though the majority agrees on its importance. What is analytics maturity model? They also serve as a guide in the analytics transformation process. Stages of analytics maturity.

Analytics 102

Analytics Technical Review Technology Applications 102

CIO

JANUARY 26, 2023

Bob Cournoyer, senior director of data strategy, BI, and analytics at Richmond, Va.-based I make a lot of my budgeting decisions based on revenue value — what value will get added to the business by investing in a particular technology,” he says. What storage do we have?’ We obviously won’t cut investments here.

Budget 332

Budget Fractional CTO Off-The-Shelf Tourism 332

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

TechCrunch

APRIL 27, 2021

CEO and founder Ajay Khanna says the company is attempting to marry two technologies that have traditionally lived in silos: business intelligence and artificial intelligence. Today’s investment brings the total raised to $17 million, according to the company.

Artificial Inteligence 212

Artificial Inteligence Tools Machine Learning Artificial Intelligence 212

Altexsoft

AUGUST 13, 2020

Data analytics is one of the key directions for digital transformation in various industries, travel included. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets. As business grows, these become impossible to analyze and keep track of manually or using spreadsheets.

Business Intelligence 59

Business Intelligence Hotels Technical Review Technology 59

Altexsoft

SEPTEMBER 21, 2023

What if we told you that one of the world’s most powerful search and analytics engines started with the humble goal of organizing a culinary enthusiast’s growing list of recipes? First publicly introduced in 2010, Elasticsearch is an advanced, open-source search and analytics engine that also functions as a NoSQL database.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

TechCrunch

OCTOBER 14, 2021

.” He noted that while there has been tremendous progress in AI in the last decade, there is still a wide gap between taking that progress and building intelligent software. The fiber infrastructure got built up but actually connecting it to your house took a long time. Image Credits: SpiceAI.

Applications 243

Applications Development Azure Business Intelligence 243

Altexsoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. What is Big Data analytics? Traditional approach.

Big Data 78

Big Data Analytics Tools Applications 78

KitelyTech

AUGUST 13, 2023

Setting up and managing large amounts of business data includes multiple elements, such as data storage and the organization and management of data within a data warehouse. However, the more data they have, the more robust their analytical systems need to be. Simply put, companies need ways of analyzing data.

Big Data 52

Big Data Data How To Analytics 52

Datavail

JUNE 15, 2023

The Microsoft Fabric announcement at Microsoft Build 2023 has caused quite a stir in the data and analytics world. Microsoft Fabric is an all-in-one analytics solution that brings together seven Azure services on a shared SaaS foundation, in a unified experience combined with AI.

Azure 52

Azure Analytics Storage Generative AI 52

Datavail

AUGUST 6, 2020

Analytics is the process of turning raw data into valuable business insights through quantitative and statistical methods. There are three ways of classifying business analytics methods according to their use case: Descriptive methods examine historical data to identify meaningful trends and patterns.

Analytics 52

Analytics Cloud Disaster Recovery Business Analytics 52

Kentik

FEBRUARY 14, 2023

With software architectures increasingly adopting distributed, cloud-based models , network infrastructures have become complex webs of virtual and physical devices. With storage metadata, data platforms offer engineers opportunities for additional insights into data access, resource allotment and capacity, performance, and more.

Network 52

Network Data Artificial Inteligence Analysis 52

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. Only after these actions can you analyze data with dedicated software (a so-called online analytical processing or OLAP system). You need to have infrastructure, hardware and/or software, that will allow you to do that. But how do you move data?

Data 76

Data Storage Analytics Data Center 76

Altexsoft

APRIL 22, 2020

But, understanding and interpreting data is just a final stage in a long way, as the information goes from its raw format to the fancy analytical boards. The data can be further applied to provide value for machine learning , data stream analysis , business intelligence , or any other type of analytics.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69

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). The need for scaleout and streaming infrastructure can often be traced back to the importance of text, temporal data, and graphs. Visualization, Design, and UX sessions.

Machine Learning 159

Machine Learning Artificial Inteligence Company Case Study 159

Altexsoft

NOVEMBER 9, 2021

In this article, we’ll explain what procurement analytics is, highlight the main difficulties within the purchasing process, and look at how analytics can address them. Procurement is a set of operations related to finding, acquiring, and paying for goods and supplies for business needs. Main components of procurement analytics.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Openxcell

JANUARY 6, 2023

Cloud computing has emerged as the optimal method of delivering enterprise software for businesses introducing new technologies or expanding their infrastructure. Many new technologies now begin in the cloud as services, which is very enticing to business customers who are aware of the possible competitive benefits of early adoption.

Architecture 52

Architecture Cloud Storage Google Cloud 52

Altexsoft

FEBRUARY 11, 2023

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect? Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Protera

SEPTEMBER 13, 2022

Enterprise managed services are becoming essential to large companies in every industry as IT infrastructures and technology in general evolve and advance at a rapid pace. Cloud migration, data intelligence, IT security and digital transformation are just some of the many IT priorities companies are balancing today.

Enterprise 52

Enterprise Business Intelligence Cloud Infrastructure 52

Altexsoft

SEPTEMBER 23, 2021

Yet, more than often, businesses can’t make use of their most valuable asset — information. Because it is scattered across disparate systems, hardly available for analytical apps. Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. What is Data Hub?

Architecture 52

Architecture Data Storage IoT 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. within a single, centralized location for analytics and reporting. Each node has its own disk storage.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Sunflower Lab

MARCH 18, 2024

Enabling Financial Leaders to Propel Success with Power BI Service Why do people and leading companies across the industries continue to choose and utilize Power BI service for thier business intelligence? These features establish it as a top-tier platform for data analytics. Need to discover a one-shot to data success?

Banking 52

Banking Compliance Technical Review Business Intelligence 52

Altexsoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. The relatively new storage architecture powering Databricks is called a data lakehouse. Let’s see what exactly Databricks has to offer. Delta Lake integrations.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Altexsoft

MAY 20, 2020

Source: IoT Analytics. Day by day, the IoT sees wider adoption, opening new opportunities and driving more value to both businesses and their clients. IoT infrastructure contains several key layers, with an IoT platform acting as a bridge between physical world and business processes. Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

Sunflower Lab

MARCH 13, 2024

Core Features of Power BI for Supply Chain Analytics From seamless data connectivity to intuitive visualization capabilities and seamless integration with other Microsoft products, Power BI emerges as a vital asset in optimizing supply chain operations.

Transportation 52

Transportation Weak Development Team Metrics Healthcare 52

Apiumhub

MARCH 4, 2021

Businesses across the globe highlight DaaS not only as a unique revenue channel but also a path to reshape the business world through competitive intelligence. Increasing importance of data and analytics is driving the importance of data as a service. Business intelligence. What is DaaS?

Trends 72

Trends Data Analytics Business Intelligence 72

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

Altexsoft

NOVEMBER 28, 2019

But, as a business, you might be interested in extracting value of this information instead of just collecting it. Business intelligence (BI) is a set of technologies and practices to transform business information into actionable reports and visualizations. Who is a business intelligence developer?

Business Intelligence 22

Business Intelligence Technical Review Development Storage 22

Trigent

JUNE 20, 2022

McDonald deployed and implemented business intelligence and analytics systems to overcome most challenges for decision support. Data must be consolidated, cleansed, and structured for proper use in analytics applications. The larger businesses have complex analytics architecture and may require more data engineers.

Data Engineering 52

Data Engineering Engineering Data Strategy 52

Flexagon

MARCH 1, 2022

We have a combined 100+ years of experience dealing with the complexity of enterprise software development and operations across infrastructure, database, middleware, and applications. The six founders of Flexagon worked for years in the trenches of enterprise software platforms. Fast forward to 2022. Vast Toolchain Integration Library.

UI/UX 78

UI/UX DevOps Business Intelligence Azure 78

Cloudera

AUGUST 31, 2021

Data warehousing is the backbone of every data driven organization , providing mission critical analytics. Today, modern data warehousing has evolved to meet the intensive demands of the newest analytics required for a business to be data driven. Are you looking to include log, semi-structured, or sensor data in your analytics?

Data 82

Data Analytics Cloud Technical Review 82

Xebia

JANUARY 19, 2023

The following quotes date back to those years: Data Engineers set up and operate the organization’s data infrastructure, preparing it for further analysis by data analysts and scientist. This means knowing the trade-offs with design patterns, technologies, and tools in source systems, ingestion, storage, transformation, and serving data.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130