Big Data, eCommerce, Machine Learning and Storage

Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

Openxcell

MARCH 30, 2023

From human genome mapping to Big Data Analytics, Artificial Intelligence (AI),Machine Learning, Blockchain, Mobile digital Platforms (Digital Streets, towns and villages),Social Networks and Business, Virtual reality and so much more. What is Machine Learning? Machine Learning delivers on this need.

Artificial Inteligence

Artificial Inteligence Machine Learning IoT Internet

The Good and the Bad of Apache Spark Big Data Processing

Altexsoft

JULY 18, 2023

These seemingly unrelated terms unite within the sphere of big data, representing a processing engine that is both enduring and powerfully effective — Apache Spark. Maintained by the Apache Software Foundation, Apache Spark is an open-source, unified engine designed for large-scale data analytics. Big data processing.

Weak Development Team

Weak Development Team Big Data Data Machine Learning

Big Data Engineer: Role, Responsibilities, and Job Description

Altexsoft

AUGUST 25, 2020

Big data can be quite a confusing concept to grasp. What to consider big data and what is not so big data? Big data is still data, of course. Big data is tons of mixed, unstructured information that keeps piling up at high speed. Data engineering vs big data engineering.

Big Data

Big Data Data Engineering Engineering Data

Webinars

How to Easily Navigate Crypto Accounting in the Web3 Era

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Machine Learning Pipeline: Architecture of ML Platform in Production

Altexsoft

MAY 27, 2020

Machine learning (ML) history can be traced back to the 1950s, when the first neural networks and ML algorithms appeared. Analysis of more than 16.000 papers on data science by MIT technologies shows the exponential growth of machine learning during the last 20 years pumped by big data and deep learning advancements.

Machine Learning

Machine Learning Artificial Inteligence Architecture Training

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Altexsoft

JUNE 26, 2023

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

Machine Learning

Machine Learning Artificial Inteligence Data Systems Review

Big Data Analytics: How It Works, Tools, and Real-Life Applications

Altexsoft

MAY 14, 2021

Big Data enjoys the hype around it and for a reason. But the understanding of the essence of Big Data and ways to analyze it is still blurred. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics. Key Big Data characteristics.

Big Data

Big Data Analytics Tools Applications

Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

APRIL 25, 2023

Read this and learn the trends in Software Development for eCommerce to stay competitive in 2023 —and the upcoming years. Take Note of The Trends To Speed up With Modern eCommerce Digital transformation is the integration of digital technologies in an organization in order to drive greater productivity, efficiency, and sustainability.

Trends

Trends eCommerce Artificial Inteligence Software

Improve Your Business: Discover Interesting Software Trends for Upcoming Years

MagmaLabs

APRIL 25, 2023

Read this and learn the trends in Software Development for eCommerce to stay competitive in 2023 —and the upcoming years. Take Note of The Trends To Speed up With Modern eCommerce Digital transformation is the integration of digital technologies in an organization in order to drive greater productivity, efficiency, and sustainability.

Trends

Trends eCommerce Artificial Inteligence Software

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

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. Who needs a data lake?

Architecture

Architecture Data Storage Machine Learning

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Altexsoft

MARCH 14, 2023

Data sources The first component of the MDS architecture is a place, or in most cases, places where your data originates from. Data may come from hundreds (or sometimes thousands) of different sources, including computers, smartphones, websites, social media networks, eCommerce platforms, and IoT devices.

Data

Data Technical Review Software Review Artificial Inteligence

Hire a Cloud Engineer in Ukraine

Mobilunity

MAY 20, 2021

For example, everyone has cloud storage available on their smartphones or connected to their Google account. There are 175 different services available, and it also incorporates AI, machine learning, and 5G. One of the main advantages is that it works great with open-source software and incorporates machine learning.

Engineering

Engineering Cloud Google Cloud Azure

5 Ways AI Will Transform the Logistics Industry

Altexsoft

NOVEMBER 2, 2018

As the world’s logistical requirements continue to become even more complex, big-data driven applications have already stepped in to streamline logistics on a global scale. Meanwhile, the system’s Local Clearance Procedure (LCP) is a similar option for the storage of goods before they are released through customs procedures.

Industry

Industry Artificial Inteligence Blockchain Technical Review

Azure vs AWS: How to Choose the Cloud Service Provider?

Existek

JANUARY 11, 2022

They provided a few services like computing, Azure Bob storage, SQL Azure, and Azure Service Bus. Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT.

Azure

Azure AWS Cloud How To

Atlanta Technology Startup Ecosystem: Venture Capital Providers, Educational Programs and Rising Stars to Learn From

Altexsoft

APRIL 7, 2020

Kabbage is an Atlanta-based financial service data and technology unicorn. Kabbage was founded in Atlanta in 2009 and was among the first to use big data analytics to approve and control loans. It connects warehouses with unused space to businesses requiring storage and distribution.

Technical Review

Technical Review Education Programming Security

Data Quality Management: Roles, Processes, Tools

Altexsoft

OCTOBER 17, 2019

Data steward can also advise on how to improve existing data governance practices and may share responsibilities with a data custodian. . Data custodian – manages the technical environment of data maintenance and storage. Data quality management: how to implement and how it works.

Tools

Tools Data Technical Advisors Technical Review

CTO Universe

Machine Learning In Internet Of Things (IoT) – The next big IT revolution in the making

The Good and the Bad of Apache Spark Big Data Processing

Webinars

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Big Data Engineer: Role, Responsibilities, and Job Description

Webinars

Machine Learning Pipeline: Architecture of ML Platform in Production

Data Collection for Machine Learning: Steps, Methods, and Best Practices

Big Data Analytics: How It Works, Tools, and Real-Life Applications

Improve Your Business: Discover Interesting Software Trends for Upcoming Years

Improve Your Business: Discover Interesting Software Trends for Upcoming Years

Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

The Modern Data Stack: What It Is, How It Works, Use Cases, and Ways to Implement

Hire a Cloud Engineer in Ukraine

5 Ways AI Will Transform the Logistics Industry

Azure vs AWS: How to Choose the Cloud Service Provider?

Atlanta Technology Startup Ecosystem: Venture Capital Providers, Educational Programs and Rising Stars to Learn From

Data Quality Management: Roles, Processes, Tools

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