Apiumhub

JANUARY 26, 2022

But, understanding and interpreting data is just the final stage of a long journey, as the information goes from its raw format to visual analytical boards. Data engineers assess a wide range of requirements and apply relevant database techniques to create a robust architecture. Key Data Engineer responsibilities.

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

Kentik

AUGUST 28, 2019

Selecting a proper telemetry architecture can potentially remove many of the issues—such as security, scaling, polling gaps, resource utilization of the polled device, and so on—around sending and receiving streaming telemetry data. A highly-scalable architecture and framework with more data point granularity and superior performance.

Network 52

Network Analytics Metrics Technical Review 52

Capgemini

JUNE 14, 2023

In a more formal definition, RIC is an essential 5G network architecture element responsible for facilitating network intelligence, flexibility, and optimization. RIC employs real-time network data collection, analytics, and optimization algorithms to optimize the network dynamically. which ORAN specifications define.

Innovation 52

Innovation Engineering Energy Network 52

Data Virtualization

OCTOBER 27, 2023

Kafka is used when real-time data streaming and event-driven architectures with scalable data processing are essential. Reading Time: 3 minutes More and more companies are managing messages and events in real time using tools like Apache Kafka.

Meeting 52

Meeting Microservices Data Architecture 52

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Palo Alto Networks

MAY 18, 2023

Modernizing the industrial and operational technology (OT) environment has been challenging for customers in verticals like manufacturing, electric utilities, logistics and transportation. The solution is designed to be scalable and adaptable to meet the changing needs of the OT environment.

Network 44

Network Artificial Inteligence IoT Artificial Intelligence 44

Confluent

MARCH 19, 2019

Most contemporary software architectures are some mix of these two approaches. I will attempt to articulate in layman’s terms what an event-driven architecture (EDA) is and contrast it with service-oriented architecture (SOA). The message brokers nowadays can be analytical engines by their own right. Pun intended!

SOA 110

SOA Architecture Analytics Technical Review 110

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

O'Reilly Media - Data

JULY 23, 2018

The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Scalable Machine Learning for Data Cleaning. Over the last few years, many companies have begun rolling out data platforms for business intelligence and business analytics.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Datavail

JULY 14, 2022

Streaming analytics tools are emerging to respond to this gap in business intelligence. Traditional ‘extract, transform, and load’ processes (ETL) convert the data from its original format into one that is readable by traditional computer analytics programming. The process is fast, fault-tolerant, and scalable.

Data 52

Data AWS Analytics Programming 52

Cloudera

MAY 28, 2019

In recent technical advice on creating a data strategy for machine learning, Gartner concludes that “The data-preprocessing architecture that transports and integrates data for ML is the connective tissue of the data strategy. Create a Data Strategy for Machine Learning in Advanced Analytics Initiatives, Carlton Sapp, 10 May 2019.

Compliance 48

Compliance Innovation Meeting Industry 48

TIBCO - Connected Intelligence

SEPTEMBER 30, 2020

The TIBCO Responsive Application Mesh is a guide to modern application architecture. Thriving data-driven organizations need a flexible architecture to provide every kind of data required to run, understand, and govern the business. Hyperconverged Analytics: Accelerating Innovation with Data. We call it Hyperconverged Analytics.

Insurance 32

Insurance Software Review Agile Sustainability 32

Existek

OCTOBER 31, 2023

By optimizing the flow of materials, information, and funds, companies can minimize waste, lower production and transportation costs, and ultimately improve their profitability with AI introduction. Many companies manage to minimize waste, reduce emissions, and use sustainable sourcing and transportation methods.

How To 52

How To Artificial Inteligence Artificial Intelligence Transportation 52

Altexsoft

JANUARY 22, 2020

As a result, it became possible to provide real-time analytics by processing streamed data. Please note: this topic requires some general understanding of analytics and data engineering, so we suggest you read the following articles if you’re new to the topic: Data engineering overview. What are streaming or real-time analytics?

Analytics 20

Analytics Data IoT Analysis 20

Hu's Place - HitachiVantara

FEBRUARY 1, 2019

Today I will be covering the advances that we have made in the area of hybrid-core architecture and its application to Network Attached Storage. This hybrid-core architecture is a unique approach which we believe will position us for the future, not only for NAS but for the future of compute in general.

Hardware 49

Hardware Architecture Storage Systems Review 49

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Mobilunity

AUGUST 3, 2021

The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. That’s why traditional transportation methods for data can’t efficiently manage the flow of Big Data. Who is Big Data Engineer? Some of these include: .

Big Data 52

Big Data Data Engineering Engineering Data 52

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.), Optimization opportunities offered by analytics.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

AWS Machine Learning - AI

FEBRUARY 29, 2024

Proper handling of specialized terminology and concepts in different formats is essential to detect insights and ensure analytical integrity. You will not be paid for participation, but the study will reimburse expenses related to participation like transportation, parking, etc. Reimbursement amounts and process are provided.

Knowledge Base 110

Knowledge Base Artificial Inteligence Generative AI AWS 110

Kentik

AUGUST 28, 2019

Selecting a proper telemetry architecture can potentially remove many of the issues—such as security, scaling, polling gaps, resource utilization of the polled device, and so on—around sending and receiving streaming telemetry data. A highly-scalable architecture and framework with more data point granularity and superior performance.

Network 16

Network Analytics Metrics Technical Review 16

CIO

FEBRUARY 22, 2024

Applying concepts of solution architecture to truly solve the problem end to end is not really negotiable,” she says. For large organizations, the end-to-end data and technology solution will include your ERPs, data and analytics landscape, certainly AI, low- and no-code platforms, and a range of emerging tech.”

Software 245

Software Sustainability Report KPI 245

TechCrunch

DECEMBER 14, 2021

This is where Carto comes along with a product specialized on spatial analytics. “In the last three years, we have seen the rise of the data warehouse and we have gone from almost no architecture being based on a data warehouse to becoming the dominant implementation,” Carto CEO Luis Sanz told me.

Data 234

Data Telecommunications Transportation Analysis 234

Altexsoft

MAY 20, 2020

Source: IoT Analytics. IoT architecture layers. Namely, these layers are: perception layer (hardware components such as sensors, actuators, and devices; transport layer (networks and gateway); processing layer (middleware or IoT platforms); application layer (software solutions for end users). Source: IoT Analytics.

IoT 141

IoT Azure AWS Transportation 141

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. Let’s take the transportation industry for example.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

MARCH 30, 2020

The average cost of unplanned downtime in energy, manufacturing, transportation, and other industries runs at $250,000 per hour or $2 million per working day. You need large and scalable storage to aggregate both real-time data from sensors and historical data from a CMMS. Analytical solution with machine learning capabilities.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

Artificial Inteligence 109

Artificial Inteligence Generative AI AWS Load Balancer 109

Altexsoft

MARCH 18, 2021

ETL tools are used for data integration to meet the requirements of traditional data warehouses that are based on OLAP (online analytical processing) technologies and/or relational database management systems. ELT comes to the rescue. What is ELT? ELT is the acronym for extraction , loading , and transformation.

Systems Review 109

Systems Review Technical Review Software Review Compliance 109

Altexsoft

AUGUST 25, 2020

That’s why traditional data transportation methods can’t efficiently manage the big data flow. Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data. customizing and managing integration tools, databases, warehouses, and analytical systems.

Big Data 75

Big Data Data Engineering Engineering Data 75

Confluent

FEBRUARY 27, 2019

What is more, as the world adopts the event-driven streaming architecture, how does it fit with serverless? FaaS as part of the event-driven streaming architecture. All of the above principles hold true from an architecture perspective as well. Do they complement or compete? What is FaaS? Event-first FaaS? Next Steps.

Serverless 109

Serverless Lambda AWS Systems Review 109

Altexsoft

JANUARY 13, 2021

Freight Broker Software and How It Supports Transportation Intermediaries , Digital Transformation in Supply Chain Management: How Levi Strauss, PepsiCo, and GSF Boost Operations , Digital Transformation Stories: How UPS, Amazon, JD.com, Delta and Maersk Change Transportation and Logistics Industry. Driver’s app.

Software Review 71

Software Review Software Transportation Systems Review 71

Altexsoft

JULY 9, 2021

unlimited scalability. Terms “fog computing”, coined by Cisco, and “edge computing” are often used interchangeably as they both involve allocating processing and analytics resources closer to the points where data is generated. Edge computing architecture. If translated to business terms, this means.

IoT 59

IoT Azure Hardware USP 59

Altexsoft

JULY 29, 2022

Developed in 2006 by Doug Cutting and Mike Cafarella to run the web crawler Apache Nutch, it has become a standard for Big Data analytics. a suitable technology to implement data lake architecture. a suitable technology to implement data lake architecture. Apache Hadoop architecture. Source: Allied Market Research.

Big Data 59

Big Data Data Google Cloud Storage 59

Mobilunity

NOVEMBER 25, 2022

The basic logic (of the product), including the API and database, is typically referred to as the “backend” As a result, the product’s primary logic involves using a database and an API to transport data from and to the front end. Improving the scalability of project. Develop client-side and server-side architecture.

Technical Review 52

Technical Review Software Review Development UI/UX 52

Altexsoft

JUNE 25, 2019

The process of transporting data from sources into a warehouse. Contrarily, a DW uses simple queries with few tables to improve performance and analytics. DW simplifies data analyst’s job, allowing for manipulating all data from a single interface and derive analytics, visualizations, and statistics. Data warehouse architecture.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Confluent

MAY 22, 2019

In light of this, we’ll share an emerging machine-to-machine (M2M) architecture pattern in which MQTT, Apache Kafka ® , and Scylla all work together to provide an end-to-end IoT solution. This growth depends greatly on the overall reliability and scalability of IoT deployments. What role will analytics play in future?

IoT 96

IoT Google Cloud Scalability Microservices 96

Altexsoft

MARCH 10, 2021

So, to perform analytics, you don’t need to manually download and export it to the centralized repository. Example: connecting a legacy CRM system to a data warehouse or a transportation management system (TMS). Let’s look at existing technologies and architecture models that make the integration magic happen.

Systems Review 108

Systems Review System Software Review Technical Review 108

Altexsoft

JUNE 26, 2023

We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. It’s the first and essential stage of data-related activities and projects, including business intelligence , machine learning , and big data analytics. What is data collection? No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52