Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way.

Artificial Inteligence 107

Artificial Inteligence Machine Learning Scalability Data Engineering 107

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. It’s also used to deploy machine learning models, data streaming platforms, and databases. Every machine learning model is underpinned by data.

Artificial Inteligence 174

Artificial Inteligence Strategy Data Machine Learning 174

Agile Engine

DECEMBER 2, 2019

In addition to covering the broader software development industry, the company also has lists that narrow down on specific domains like IoT, blockchain, and AI. AgileEngine is a collective of 400+ software developers, QAs, designers, data engineers, and managers working with 50+ companies on more than 70 digital products.

Software 19

Software Company Blockchain Software Development 19

CIO

JULY 5, 2023

Among them are cybersecurity experts, technicians, people in legal, auditing or compliance, as well as those with a high degree of specialization in AI where data scientists and data engineers predominate. We must provide the necessary resources, both financial and human, to those projects with the most potential.”

Artificial Inteligence 158

Artificial Inteligence Energy Generative AI Strategic Planning 158

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. As data and analytics are embedded into the fabric of business and society –from popular apps to the Internet of Things (IoT) –Spark brings essential advances to large-scale data processing.

Open Source 117

Open Source Artificial Inteligence Machine Learning Big Data 117

Capgemini

MARCH 16, 2022

makes it possible to consider obstacles as key elements to unlock scalability and initiate the Factory of the Future. technologies (AI & analytics, cloud and edge computing, cybersecurity, 5G, IoT, and data engineering) are converging at speed. Industry 4.0 Accelerate the digitalization journey.

Industry 98

Industry IoT Technical Review Automotive 98

Kentik

JANUARY 3, 2018

Looking into Network Monitoring in an IoT enabled network. As part of the movement, organizations are also looking to benefit from the Internet of Things (IoT). IoT infrastructure represents a broad diversity of technology. So, how can digital businesses cope with these challenges without giving up on IoT?

IoT 40

IoT Network Tools Big Data 40

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 148

Technical Advisors Artificial Inteligence Generative AI How To 148

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.

Analytics 20

Analytics Data IoT Analysis 20

Apiumhub

SEPTEMBER 20, 2023

Tech Conferences Compass Tech Summit – October 5-6 Compass Tech Summit is a remarkable 5-in-1 tech conference, encompassing topics such as engineering leadership, AI, product management, UX, and data engineering that will take place on October 5-6 at the Hungarian Railway Museum in Budapest, Hungary.

Conference 97

Conference Artificial Inteligence UI/UX Machine Learning 97

Cloudera

MAY 18, 2021

Infrastructure cost optimization by enabling container-based scalability for compute resources based on processing load and by leveraging object storage that has lower price point than compute-attached storage. Experience configuration / use case deployment: At the data lifecycle experience level (e.g.,

Cloud 86

Cloud Technical Review Storage Backup 86

Altexsoft

DECEMBER 4, 2020

Three types of data migration tools. Automation scripts can be written by data engineers or ETL developers in charge of your migration project. This makes sense when you move a relatively small amount of data and deal with simple requirements. Use cases: moving data from on-premises to cloud or between cloud environments.

Software Review 69

Software Review Software Data Technical Review 69

Altexsoft

FEBRUARY 8, 2021

Manufacturing is typically characterized by producing a lot of various disparate data that is hard to organize and analyze, especially with the spread of Internet of Things (IoT) devices. Data engineers work with technologies, setting up and managing data pipelines to extract, store, and transform data for further usage.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence.

Software Review 52

Software Review Software Technical Review Artificial Inteligence 52

Hu's Place - HitachiVantara

MARCH 18, 2019

City of Istanbul Governorship: Safe, Smart Campus The challenge was to secure the governorship campus and include multiple existing video and IoT systems. Tupras had no unified/scalable way to discover the (sliced content) on open TSDB and no framework for data science and no way to operationalize data science.

Healthcare 61

Healthcare Tourism Systems Review Energy 61

Altexsoft

MAY 14, 2021

To understand Big Data, you need to get acquainted with its attributes known as the four V’s: Volume is what hides in the “big” part of Big Data. This relates to terabytes to petabytes of information coming from a range of sources such as IoT devices, social media, text files, business transactions, etc. Apache Kafka.

Big Data 78

Big Data Analytics Tools Applications 78

Altexsoft

OCTOBER 21, 2022

It offers high throughput, low latency, and scalability that meets the requirements of Big Data. The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. Still, it’s the number one choice for data-driven companies, and here’re some reasons why. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Open Source 93

Agile Engine

DECEMBER 27, 2023

Case study: leveraging AgileEngine as a data solutions vendor 11. Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8

Big Data 52

Big Data Analytics Data Analysis 52

ParkMyCloud

JANUARY 17, 2020

Individuals in an associate solutions architect role have 1+ years of experience designing available, fault-tolerant, scalable, and most importantly cost-efficient, distributed systems on AWS. Must prove knowledge of deploying, operating and managing highly available, scalable and fault-tolerant systems on AWS. GCP Certifications.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

DECEMBER 23, 2022

Whether your goal is data analytics or machine learning , success relies on what data pipelines you build and how you do it. But even for experienced data engineers, designing a new data pipeline is a unique journey each time. Data engineering in 14 minutes. Scalability. Data availability.

Tools 52

Tools Software Review Systems Review Testing 52

Mobilunity

MAY 8, 2023

Key zones of an Enterprise Data Lake Architecture typically include ingestion zone, storage zone, processing zone, analytics zone, and governance zone. Ingestion zone is where data is collected from various sources and ingested into the data lake. Storage zone is where the raw data is stored in its original format.

Engineering 52

Engineering Data Storage Data Engineering 52

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). Python is unarguably the most broadly used programming language throughout the data science community. IoT Empowered Assembly Lines: Predictive Maintenance. Native Python Support for Snowpark.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

Altexsoft

OCTOBER 2, 2020

Data integration and interoperability: consolidating data into a single view. Specialist responsible for the area: data architect, data engineer, ETL developer. Scattered across different storages in various formats, data values don’t talk to each other. Cloudera Data Platform capabilities.

Strategy 64

Strategy Database Administration Data Technical Review 64

Altexsoft

JUNE 7, 2021

scalability. No real-time data processing. MapReduce performs batch processing only and doesn’t fit time-sensitive data or real-time analytics jobs. Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. versatility.

Big Data 98

Big Data Tools Data Storage 98

Mobilunity

DECEMBER 27, 2024

” Cyril Samovskiy, Founder of Mobilunity Tech Stack Proficiency AI-proficient engineers must write clean, efficient, and scalable code, ensuring their AI frameworks run effectively in various environments.

Artificial Inteligence 52

Artificial Inteligence Technical Review Engineering Artificial Intelligence 52

Kentik

MAY 31, 2023

For many enterprises, applications represent only a portion of a much larger reliability mandate, including offices, robotics, hardware, and IoT, and the complex networking, data, and observability infrastructure required to facilitate such a mandate. This is no small feat and can lead to significant overhead and resource consumption.

Network 52

Network Cloud Load Balancer Systems Review 52

Altexsoft

NOVEMBER 23, 2021

If the transformation step comes after loading (for example, when data is consolidated in a data lake or a data lakehouse ), the process is known as ELT. You can learn more about how such data pipelines are built in our video about data engineering. Identify your consumers.

Virtualization 69

Virtualization Tools Data Architecture 69

Datavail

SEPTEMBER 8, 2022

According to an IDG survey , companies now use an average of more than 400 different data sources for their business intelligence and analytics processes. What’s more, 20 percent of these companies are using 1,000 or more sources, far too many to be properly managed by human data engineers. Conclusion.

Data 40

Data Nonprofit Quality Assurance Education 40

Altexsoft

OCTOBER 24, 2019

An enterprise data warehouse is a unified repository for all corporate business data ever occurring in the organization. Reflects the source data. EDW sources data from its original storages like Google Analytics, CRMs, IoT devices, whatever these can be. Subject-oriented data. IBM Db2 / Pricing page.

Architecture 50

Architecture Enterprise Data Technical Review 50

Altexsoft

JULY 19, 2022

The infrastructural shift means going from a fragmented platform with separate operational and analytical planes to an integrated infrastructure for both operational and data systems. Data mesh can be utilized as an element of an enterprise data strategy and can be described through four interacting principles.

Architecture 52

Architecture Data Analytics Data Engineering 52

Altexsoft

AUGUST 29, 2023

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. This article explains what a data lake is, its architecture, and diverse use cases. Watch our video explaining how data engineering works.

Architecture 52

Architecture Data Storage Artificial Inteligence 52

Altexsoft

MARCH 14, 2023

In recent years, cloud-based data warehouses have revolutionized data processing with their advanced massively parallel processing (MPP) capabilities and SQL support. This development has paved the way for a suite of cloud-native data tools that are user-friendly, scalable, and affordable. What is a modern data stack?

Data 59

Data Technical Review Software Review Open Source 59

Altexsoft

JULY 18, 2023

Its flexibility allows it to operate on single-node machines and large clusters, serving as a multi-language platform for executing data engineering , data science , and machine learning tasks. Before diving into the world of Spark, we suggest you get acquainted with data engineering in general. Stream processing.

Weak Development Team 52

Weak Development Team Big Data Data Artificial Inteligence 52

Kentik

DECEMBER 15, 2016

By creating a distributed big data backend that’s purpose-built for the scale and speed of today’s network traffic. Called Kentik Data Engine (KDE), this datastore enables us to capture in real time — and keep for months without summarization — all of the details of network traffic data (flow records, BGP, GeoIP, etc.).

UI/UX 40

UI/UX Innovation Big Data Network 40

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. Scalability.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Openxcell

DECEMBER 27, 2024

In addition to AI consulting, the company has expertise in delivering a wide range of AI development services , such as Generative AI services, Custom LLM development , AI App Development, Data Engineering, RAG As A Service , GPT Integration, and more. The platform helps with predictive maintenance and optimized asset management.

Artificial Inteligence 40

Artificial Inteligence Company Generative AI Machine Learning 40

Existek

JANUARY 11, 2022

And companies that have completed it emphasize gained advantages like accessibility, scalability, cost-effectiveness, etc. . Along with meeting customer needs for computing and storage, they continued extending services by presenting products dealing with analytics, Big Data, and IoT. Read the article.

Azure 52

Azure AWS Cloud How To 52