CIO

JANUARY 12, 2023

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. This allows teams to receive and review business intelligence and make changes in near-real-time rather than waiting hours or days to glean insights from data. [2]

Technical Review 189

Technical Review Technology Innovation Data Center 189

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

InnovationM

MAY 14, 2023

Demystifying Data Lakes Data lakes serve as flexible storage repositories, enabling organizations to store raw and diverse data types, breaking away from the constraints of traditional data warehouses. These systems ensure high availability and facilitate the storage of massive data volumes.

Data 52

Data Storage Construction Business Intelligence 52

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

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 90

Data Analytics Open Source Architecture 90

InfoBest

JULY 18, 2018

List of top NoSQL Database Engines. Choosing the right database technology is not an easy job and as an application architect you should have a very clear overview on the database engines (with their advantages and disadvantages) available out there. List of top NoSQL Database Engines. Conclusions. #1. A quick introduction.

Engineering 61

Engineering Technical Review PHP Software Review 61

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.

Machine Learning 155

Machine Learning Artificial Inteligence Company Case Study 155

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. Feel free to enjoy it. Feel free to enjoy it.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

DECEMBER 10, 2020

Some data warehousing solutions such as appliances and engineered systems have attempted to overcome these problems, but with limited success. . Recently, cloud-native data warehouses changed the data warehousing and business intelligence landscape. 150 for storage use = $15 / TB / month x 10 TB.

Data 98

Data Technical Review Storage Systems Review 98

Apps Associates

MAY 18, 2021

Performing analytics on the data was possible but took a long time and was mostly done in batch (using map reduce routines written in Java). However, from an analytics perspective there was no integration between the data warehouse platform and the data lake. Spark is a unified analytics engine for large-scale data processing.

Cloud 98

Cloud Data Azure Analytics 98

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 80

Data Analytics Cloud Technical Review 80

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

CTOvision

FEBRUARY 4, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 134

Fractional CTO Technical Review Big Data Analytics 134

Altexsoft

AUGUST 19, 2022

In our blog, we’ve been talking a lot about the importance of business intelligence (BI), data analytics, and data-driven culture for any company. Multiple studies continuously demonstrate the superiority of analytics-based organizations (e.g., You get 10GB of cloud storage and can upload 1GB of data at a time.

Weak Development Team 52

Weak Development Team Data Azure Analytics 52

Altexsoft

JANUARY 22, 2020

With the uprise of internet-of-things (IoT) devices, overall data volume increase, and engineering advancements in this field led to new ways of collecting, processing, and analysing data. As a result, it became possible to provide real-time analytics by processing streamed data. A complete guide to business intelligence and analytics.

Analytics 20

Analytics Data IoT Analysis 20

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. It often includes three main components like the database schema, database application, and data engine. Business Intelligence Services.

Big Data 52

Big Data Data Development Business Intelligence 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.

Architecture 52

Architecture Cloud Storage Google Cloud 52

CTOvision

JANUARY 18, 2015

This popular gathering is designed to enable dialogue about business and technical strategies to leverage today’s big data platforms and applications to your advantage. Big data and its effect on the transformative power of data analytics are undeniable. Enabling Business Results with Big Data. Register here. 7:30 – 8:00 AM.

Fractional CTO 113

Fractional CTO Program Management Programming Big Data 113

Apiumhub

APRIL 22, 2021

Data modeling tools become critical here because they enable organizations to make data-driven decisions and meet varied business goals. Data modeling is the process of visualizing and representing data for storage in a data warehouse. Improve communication between developers and business intelligence teams.

Tools 59

Tools Data Business Intelligence Analytics 59

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

Datavail

APRIL 13, 2022

The fields of business intelligence and analytics depend on a reliable, consistent ETL pipeline that continually gives users access to fresh, up-to-the-minute information. Not enough resources: If your ETL system is lacking in computing resources such as memory or storage, your workloads can slow down dramatically.

Data 52

Data How To Case Study Storage 52

Altexsoft

SEPTEMBER 9, 2022

These are important for SEO purposes because search engines use them to “understand” what the page is about and how it has to be displayed and ranked in search results. Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. Metadata storage.

Tools 59

Tools Technical Review Software Review Systems Review 59

Altexsoft

MARCH 30, 2021

A fuel management system is a subdivision of a fleet management system that uses telematics -based tools and analytical software to capture fuel consumption data and improve fuel economy. A fuel management system uses data from different sources to create comprehensive analytics. In the US, it’s expressed as miles per gallon (MPG).

Systems Review 72

Systems Review System Travel Analytics 72

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

Kentik

JULY 18, 2016

At Kentik, we believe deeply in the power of post-Hadoop Big Data to address those limitations, making rich data readily accessible not only to engineering and operations, but also to wider areas of the organization. Data-driven insights can boost user satisfaction, make a business more competitive, and increase profits.

Big Data 40

Big Data Network Analytics Data 40

Apiumhub

FEBRUARY 25, 2021

Data science is a multidisciplinary blend of data inference, algorithmm development, and technology in order to solve analytically complex problems, extracting knowledge and insights from many structural and unstructured data. Tesla, Ford and Volkswagen are all implementing predictive analytics in their new wave of autonomous vehicles.

Tools 72

Tools Data Machine Learning Artificial Inteligence 72

Actian

MAY 28, 2019

Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes. Most companies use multiple databases to store data at various levels of refinement, from raw source data to highly curated analytics and reports.

Data 40

Data Analytics Machine Learning Artificial Inteligence 40

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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

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

Mentormate

NOVEMBER 1, 2018

More and more people are interested in what the product has to offer and whether it’s a good fit for their business needs. In this blog, we’ll examine what Power BI is as well as how to tell if it’s right for your business. Power BI operates using a storage and a formula engine. What is Power BI?

Report 64

Report Business Intelligence Storage Analysis 64

Altexsoft

JUNE 14, 2021

On top of that, the company uses big data analytics to quantify losses and predict risks by placing the client into a risk group and quoting a relevant premium. You can start investing in data infrastructure and analytical pipelines to automate data collection and analysis mechanisms. You’ll need a data engineering team for that.

Insurance 88

Insurance Machine Learning Artificial Inteligence Policies 88

Bernd Rucker

MAY 25, 2022

For example, Camunda Operate (the Cockpit equivalent in Camunda 8) helps you to understand what’s going on in your workflow engine, especially when you are new and start developing. Optimize Optimize is hard to replace because it goes quite deep into process-based analytics, which is hard to build on your own.

Open Source 98

Open Source Software Review Development Team Review Technical Review 98

Altexsoft

OCTOBER 29, 2020

Here, we introduce you to ETL testing – checking that the data safely traveled from its source to its destination and guaranteeing its high quality before it enters your Business Intelligence reports. What is Data Engineering: Explaining the Data Pipeline, Data Warehouse, and Data Engineer Role. Generate test data.

Testing 63

Testing Tools Software Review Technical Review 63

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? To help her, Banon developed a search engine for her recipe collection. What is Elasticsearch? The Elastic (ELK) stack.

Weak Development Team 52

Weak Development Team Analytics Engineering Development Team Review 52

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. So, along with data scientists who create algorithms, there are data engineers, the architects of data platforms. What is a data engineer? The role of data engineer.

Data Engineering 69

Data Engineering Engineering Artificial Inteligence Data 69