Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

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. A complete guide to business intelligence and analytics. The role of business intelligence developer. Stream processing.

Analytics 20

Analytics Data IoT Analysis 20

Altexsoft

NOVEMBER 10, 2021

A data lakehouse , as the name suggests, is a new data architecture that merges data warehouse and data lake into a single whole, aiming at addressing each one’s limitations. In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. What is a data lakehouse?

Architecture 52

Architecture Data Storage Machine Learning 52

Altexsoft

SEPTEMBER 23, 2021

Evidently, common storage solutions fail to provide a unified data view and meet the needs of companies for seamless data flow. This article explains the main concepts of a data hub, its architecture, and how it differs from data warehouses and data lakes. A data warehouse (DW) is a unified storage for all corporate data.

Architecture 52

Architecture Data Storage IoT 52

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. They are: domain-oriented decentralized data ownership and architecture, data as a product, self-serve data infrastructure as a service, and.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

OCTOBER 24, 2019

While our brain is both the processor and the storage, companies need multiple tools to work with data. The focus of this material is to provide information about the business value of each architectural and conceptual approach to building a warehouse. Similar to humans companies generate and collect tons of data about the past.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

MARCH 31, 2020

And, as is common, to transform it before loading to another storage system. A data pipeline is a set of tools and activities for moving data from one system, with its method of data storage and processing, to another system in which it can be stored and managed differently. We’ll get back to the types of storages a bit later.

Data 76

Data Storage Analytics Data Center 76

Altexsoft

JULY 18, 2023

This article will expose Apache Spark architecture, assess its advantages and disadvantages, compare it with other big data technologies, and provide you with the path to learning this impactful instrument. With the rise of IoT and real-time data needs, Apache Spark’s streaming component has gained prominence. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Machine Learning 52

Altexsoft

FEBRUARY 22, 2022

Such an approach requires a great deal of investment since a whole ecosystem has to be created, including IoT sensors installation, acquiring specialized software, creating and maintaining machine learning (ML) models, engaging IT and data science specialists , and so on. Collecting data from connected sensors and external sources.

Software Review 52

Software Review Technical Review Software Technology 52

Altexsoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Set up data storage technology. From here, you’ll have to take the next steps. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Altexsoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. But to understand why Kafka is omnipresent we have to look at how it works — in other words, to get familiar with its concepts and architecture.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

Hu's Place - HitachiVantara

FEBRUARY 15, 2019

Operational policies and methods are different and aggregation of data across multiple clouds boundaries makes it difficult for governance, analytics, and business intelligence. There are three major areas of support Cloud gate way for block, file and object storage with HNAS and HCP.

Cloud 49

Cloud AWS Azure Data Center 49

Altexsoft

OCTOBER 2, 2020

If your business generates tons of data and you’re looking for ways to organize it for storage and further use, you’re at the right place. Read the article to learn what components data management consists of and how to implement a data management strategy in your business. Data is a valuable source that needs management.

Database Administration 64

Database Administration Strategy Data Technical Review 64

Altexsoft

JUNE 20, 2019

Due to the integrated structure and data storage system, SQL databases don’t require much engineering effort to make them well-protected. Also, consider applying MySQL for the same reason if you’re building a business intelligence tool. For instance, GIS support suggests smooth coordinates storage and location data query.

Systems Review 85

Systems Review System Software Review Open Source 85

Altexsoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Data storage and processing. Hadoop architecture layers. Key Big Data characteristics. Apache Hadoop.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

FEBRUARY 24, 2023

Each pod, in turn, holds a container or several containers with common storage and networking resources which together make a single microservice. Learn more about Docker architecture, advantages, and alternatives from our article The Good and the Bad of Docker Containers. Framework Programming The Good and the Bad of Node.js

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

CIO

JANUARY 20, 2023

2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security. It’s About the Data For companies that have succeeded in an AI and analytics deployment, data availability is a key performance indicator, according to a Harvard Business Review report. [3]

Analytics 336

Analytics Artificial Inteligence Artificial Intelligence Hardware 336

Altexsoft

OCTOBER 17, 2019

Low-quality data can also impede and slow down the integration of business intelligence and ML-powered predictive analytics. Data custodian – manages the technical environment of data maintenance and storage. Source: Business Intelligence. A surgeon used organs from a donor with an incompatible blood type.

Tools 16

Tools Data Technical Advisors Technical Review 16

Altexsoft

SEPTEMBER 19, 2019

Then to move data to single storage, explore and visualize it, defining interconnections between events and data points. That’s what business intelligence (BI) is about. What is business intelligence and what tools does it need? What is business intelligence and what tools does it need?

Business Intelligence 13

Business Intelligence Tools Data Azure 13

Altexsoft

DECEMBER 9, 2020

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Data warehouse architecture. Ground level of analytics.

Analytics 102

Analytics Technical Review Technology Applications 102

Altexsoft

MARCH 14, 2023

Known as the Modern Data Stack (MDS) , this suite of tools and technologies has transformed how businesses approach data management and analysis. A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture. What is a modern data stack?

Data 59

Data Technical Review Software Review Artificial Inteligence 59