Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

Netflix Tech

JUNE 7, 2021

By collecting, accessing and analyzing network data from a variety of sources like VPC Flow Logs , ELB Access Logs, eBPF flow logs on the instances, etc, we can provide network insight to users and central teams through multiple data visualization techniques like Lumen , Atlas , etc. What is BPF?

Network 130

Network IPv6 Transportation AWS 130

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. First Steps in Data Analysis , July 22.

Course 68

Course Training Artificial Inteligence Software Review 68

Apiumhub

MARCH 9, 2023

Working with an outsourcing partner can help mitigate the risks associated with your project, such as underestimating timescales and lack of scalability. Apiumhub is a software partner with years of experience applying best practices that help technical teams deliver robust, scalable, and better-performing working software on time.

Software Review 77

Software Review Technical Review Software Software Development 77

O'Reilly Media - Ideas

JANUARY 2, 2019

Artificial Intelligence for Big Data , February 26-27. Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , January 15. Python Data Handling - A Deeper Dive , January 22. Practical Data Science with Python , January 22-23. SQL Fundamentals for Data , February 19-20.

Course 60

Course Artificial Inteligence Training Blockchain 60

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Programming with Data: Advanced Python and Pandas , July 9. Understanding Data Science Algorithms in R: Regression , July 12. Cleaning Data at Scale , July 15. First Steps in Data Analysis , July 22.

Course 50

Course Training Artificial Inteligence Software Review 50

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.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

Netflix Tech

MAY 4, 2023

When undertaking system migrations, one of the main challenges is establishing confidence and seamlessly transitioning the traffic to the upgraded architecture without adversely impacting the customer experience. This blog series will examine the tools, techniques, and strategies we have utilized to achieve this goal.

Comparison 135

Comparison Testing Metrics Analysis 135

CircleCI

NOVEMBER 18, 2021

IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. But as the demands on software teams continue to grow, it has become apparent that adding more staff is not a scalable solution. AIOps uses machine learning and big data to assist IT operations.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

O'Reilly Media - Ideas

APRIL 3, 2019

Data science and data tools. Apache Hadoop, Spark, and Big Data Foundations , April 22. Data Structures in Java , May 1. Cleaning Data at Scale , May 13. Big Data Modeling , May 13-14. Fundamentals of Data Architecture , May 20-21. Analyzing Software Architecture , April 16.

Course 48

Course Artificial Inteligence Training Google Cloud 48

Gorilla Logic

MAY 19, 2021

Not surprisingly, the skill sets companies need to drive significant enterprise software builds, such as big data and analytics, cybersecurity, and AI/ML, are among the most competitive. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more. Skill shortages can delay project kickoffs and delivery.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Confluent

JUNE 26, 2019

Microservices have a symbiotic relationship with domain-driven design (DDD)—a design approach where the business domain is carefully modeled in software and evolved over time, independently of the plumbing that makes the system work. In these projects, microservice architectures use Kafka as an event streaming platform.

Microservices 109

Microservices Software Review Technical Review Architecture 109

OTS Solutions

AUGUST 16, 2023

This process includes making changes to the app architecture, features, design, and infrastructure to optimize performance, usability, and security. It can also help organizations better understand their data and make data-driven decisions. What is an example of application modernization?

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

OTS Solutions

AUGUST 16, 2023

This process includes making changes to the app architecture, features, design, and infrastructure to optimize performance, usability, and security. It can also help organizations better understand their data and make data-driven decisions. What is an example of application modernization?

Artificial Inteligence 130

Artificial Inteligence Applications Artificial Intelligence Machine Learning 130

Trigent

APRIL 14, 2022

Enterprise software also has disaggregated from a monolithic form split into microservices (via containers) where code, debugger, utilities, and algorithms may be contained within the container and control routed appropriately to the parent code block as required. This way, they are deployed agnostic to the target environment. Drop us a line.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Apiumhub

DECEMBER 20, 2018

Also, as its name suggests, Scala is an acronym of scalable and language, it is designed to grow with the demand. This blog covers software architecture and software development topics. Alejandro Lujan is having fun with Big Data at Shopify and leads ScalaQuest, the game to learn Scala. Apiumhub Scala Blog. Scala Days.

Programming 42

Programming Conference Software Development Scalability 42

G2 Crowd Software

DECEMBER 5, 2017

Scalability. Data Manipulation. Teradata is a powerhouse when it comes to hosting a large data warehouse with greater storage and faster processing power” — Teradata Review. Features include database server, analytics and microservice architecture. “As Scalability. Data Manipulation. Scalability.

Open Source 61

Open Source Software Review Software Technical Review 61

CTOvision

SEPTEMBER 9, 2016

Zoomdata is the next generation data visualization system that easily allows companies and people to understand data visually in realtime. Zoomdata develops the world’s fastest visual analytics solution for big data. They are an In-Q-Tel company and a strategic investment in Zoomdata was announced on 8 Sep 2016.

Big Data 60

Big Data Data Analytics Business Intelligence 60

CTOvision

SEPTEMBER 9, 2016

Zoomdata develops the world’s fastest visual analytics solution for big data. Using patented data sharpening and micro-query technologies, Zoomdata empowers business users to visually consume data in seconds, even across billions of rows of data.

Big Data 60

Big Data Data Analytics Scalability 60

Trigent

MARCH 29, 2023

Rather it requires a conscious effort to design and develop an architecture that delivers an integrated experience regardless of the distribution partners. This allows InsurTechs to take advantage of additional data available with the distribution partner to personalize the coverage and premiums.

Insurance 95

Insurance Strategy Serverless Big Data 95

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Data science and data tools. Business Data Analytics Using Python , February 27. Designing and Implementing Big Data Solutions with Azure , March 11-12. Cleaning Data at Scale , March 19.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

Confluent

FEBRUARY 13, 2019

Part 1 of this series discussed why you need to embrace event-first thinking, while this article builds a rationale for different styles of event-driven architectures and compares and contrasts scaling, persistence and runtime models. In this way, we don’t think about solution architecture in just one dimension.

Architecture 90

Architecture Programming Microservices Serverless 90

Apiumhub

OCTOBER 18, 2022

On October 3-4 we organized and hosted the Global Software Architecture Summit in Barcelona. This year the event was focused on Software Architecture Metrics as they are key to the maintainability and architectural quality of a software project. Attendees Profiles.

Software Review 52

Software Review Architecture Technical Review Software 52

Confluent

SEPTEMBER 26, 2019

Leveraging Rockset , a scalable SQL search and analytics engine based on RocksDB , and in conjunction with BI and analytics tools, we’ll examine a solution that performs interactive, real-time analytics on top of Apache Kafka and also show a live monitoring dashboard example with Redash. In the most critical use cases, every seconds counts.

Analytics 21

Analytics Serverless Blockchain Microservices 21

Exadel

DECEMBER 4, 2019

CrossKube is a packaged solution that gives organizations the ability to deploy everything that is needed for a highly scalable, cloud-based application, including application best-practice templates for Kubernetes, microservices, containerization, application discovery, database connectivity, front-end application structure and automated testing.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

Confluent

MAY 21, 2019

When you build microservices architectures, one of the concerns you need to address is that of communication between the microservices. An example can be the backend architecture for an insurance product. This leads us to event streaming microservices patterns.

Microservices 110

Microservices Architecture Software Review Insurance 110

AWS Machine Learning - AI

FEBRUARY 1, 2024

Scalability – How many vectors can the system hold? High availability and disaster recovery – Embedding vectors are valuable data, and recreating them can be expensive. Use a microservices approach to isolate other components from these less mature frameworks. He also holds an MBA from Colorado State University.

Generative AI 108

Generative AI Disaster Recovery Artificial Inteligence AWS 108

O'Reilly Media - Ideas

MARCH 12, 2019

O’Reilly Radar is a process that assimilates signals and data to track, map, and name technology trends that impact many aspects of modern business and living. Next Architecture. Analysis of the O’Reilly online learning platform shows growing engagement with cloud, orchestration, and microservices topics. Why the change?

Artificial Inteligence 11

Artificial Inteligence Blockchain Artificial Intelligence Architecture 11

Datavail

JUNE 9, 2020

By moving to the cloud, organizations of all sizes and industries have cut costs, improved their flexibility and scalability, ensured business continuity, and reduced their maintenance obligations. The platform also has a separate module Oracle GoldenGate for Big Data , which supports replication into many big data NoSQL targets.

Innovation 59

Innovation Microservices Azure Big Data 59

Altexsoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. process data in real time and run streaming analytics. Scalability.

Weak Development Team 93

Weak Development Team Technical Review Systems Review Software Review 93

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. An end-to-end architecture for the Internet of Things.

IoT 97

IoT Google Cloud Scalability Microservices 97

OpenCredo

MAY 14, 2020

A significant factor in this journey has been the ability to automate infrastructure delivery – and as complexity has grown with the adoption of microservices, big data and IOT, this automation has evolved to become more sophisticated. presents a strong challenge to the idea that humans can easily be automated away.

System 52

System Weak Development Team Microservices Off-The-Shelf 52

Netflix Tech

OCTOBER 27, 2020

Data scientists and engineers collect this data from our subscribers and videos, and implement data analytics models to discover customer behaviour with the goal of maximizing user joy. The processed data is typically stored as data warehouse tables in AWS S3. Moving data with Bulldozer at Netflix.

Data 97

Data Microservices Storage Examples 97

Existek

JANUARY 27, 2023

Financial services companies handle sensitive customer data, and a data breach can have severe consequences for the company and its customers. Scalability is also a significant challenge for financial services software development. The Existek team has vast experience in creating robust and scalable solutions for fintech.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

MARCH 30, 2020

Historical data accumulated over the years creates a solid foundation for accurate predictions. Example of a CMMS dashboard with data on maintenance KPIs. Central data storage. You need large and scalable storage to aggregate both real-time data from sensors and historical data from a CMMS. Source: IAMTech.

Artificial Inteligence 72

Artificial Inteligence Machine Learning Technical Review IoT 72

Altexsoft

DECEMBER 14, 2022

delivering microservice-based and cloud-native applications; standardized continuous integration and delivery ( CI/CD ) processes for applications; isolation of multiple parallel applications on a host system; faster application development; software migration; and. Docker architecture core components. Docker Architecture.

Weak Development Team 52

Weak Development Team Linux Operating System Virtualization 52

Cloudera

FEBRUARY 4, 2019

One of the most promising technology areas in this merger that already had a high growth potential and is poised for even more growth is the Data-in-Motion platform called Hortonworks DataFlow (HDF). Dinesh’s areas of expertise include IoT, Application/Data integration, BPM, Analytics, B2B, API management, Microservices, and Mobility.

IoT 73

IoT Open Source Analytics Retail 73