Remove Architecture Remove Data Engineering Remove IoT Remove Retail
article thumbnail

Register With 20% Discount Code for San Jose Strata Hadoop World

CTOvision

This is the place to dive deep into the latest on Big Data, Analytics, Artificial Intelligence, IoT, and the massive cybersecurity issues in all those topics. Speakers have a laser-sharp focus on the data issues shaping all aspects of business, including verticals such as finance, media, retail and transportation, and government.

article thumbnail

Supply Chain Control Tower: Enhancing Visibility and Resilience

Altexsoft

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. Data siloes.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Data Mesh Architecture: Concept, Main Principles, and Implementation

Altexsoft

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. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

article thumbnail

What is Streaming Analytics: Data Streaming, Stream Processing, and Real-time Analytics

Altexsoft

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.

article thumbnail

Supply Chain Analytics: Opportunities in Data Analysis and Business Intelligence

Altexsoft

Machine learning techniques analyze big data from various sources, identify hidden patterns and unobvious relationships between variables, and create complex models that can be retrained to automatically adapt to changing conditions. Comparison between traditional and machine learning approaches to demand forecasting. Cost control.

article thumbnail

Data Virtualization: Process, Components, Benefits, and Available Tools

Altexsoft

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. What is data virtualization?

article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

Altexsoft

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Following this logic, any other writer with a short and memorable name — say, Gogol, Orwell, or Tolkien — could have become a symbol of endless data streams. Kafka architecture. Kafka cluster architecture.