The Crazy Programmer

SEPTEMBER 25, 2023

is a highly popular JavaScript open-source server environment used by many developers across the world. is a most loved and well-known open-source server environment. It offers the most intuitive user interface & scalability choices. Till now, they have published over 240 packages for open-source collaboration.

Serverless 180

Serverless AWS Google Cloud Azure 180

Hacker Earth Developers Blog

JANUARY 22, 2020

Right from programming projects such as data mining and Machine Learning, Python is the most favored programming language. Machine Learning engineer. It is available for everyone as an open-source, free-to-use project. Machine Learning developers. Common job roles requiring Python. Tech leads.

Technical Review 216

Technical Review Machine Learning Artificial Inteligence Software Review 216

Perficient

FEBRUARY 13, 2024

It was developed by the creators of Apache Spark, an open-source big data processing framework. Dolly is an open-source Large Language Model (LLM) that generates text and follows natural language instructions. This is where Dolly comes into play. What is Dolly?

Artificial Inteligence 52

Artificial Inteligence Analytics Machine Learning Testing 52

Gorilla Logic

OCTOBER 21, 2022

In this blog post, we’ll cover Apache Airflow core concepts and components and then build and operate a simple data pipeline. It has been open source since the first commit and was announced as a top-level project by Apache in 2019. Scalable : the architecture uses a message queue system to run an arbitrary number of workers.

Scalability 52

Scalability Data Examples Lambda 52

Openxcell

JUNE 9, 2023

This blog explains all about Big Data Analytics, its trends, tools and more. It is an open-source framework that supports multiple platforms and is preferred by many corporate giants such as Microsoft, Facebook, Intel etc. Storm is an open-source big data computation system.

Big Data 52

Big Data Analytics Tools Data 52

Cloudera

JUNE 22, 2023

To modernize and integrate this patchwork of systems and data sets, financial services institutions must adopt a modern, hybrid data platform based on open-source technologies and open standards. Improved scalability and agility. Learn more about CDP and how Cloudera supports Financial Services Modernization.

Technical Review 65

Technical Review Data Open Source Systems Review 65

Xebia

AUGUST 29, 2023

It provides a powerful and scalable platform for executing large-scale batch jobs with minimal setup and management overhead. AWS ParallelCluster AWS ParallelCluster is an open-source cluster management tool that simplifies the creation and management of high-performance computing (HPC) clusters.

AWS 147

AWS Performance Storage Linux 147

AWS Machine Learning - AI

JANUARY 26, 2024

The goal of this post is to empower AI and machine learning (ML) engineers, data scientists, solutions architects, security teams, and other stakeholders to have a common mental model and framework to apply security best practices, allowing AI/ML teams to move fast without trading off security for speed.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Cloudera

FEBRUARY 4, 2021

Cloudera Data Platform (CDP) is an end-to-end data management, analytics, and machine learning platform that helps financial services manage their enterprise data. Highly Scalable. Open Source, Hybrid and Multi-Cloud. Open Source, Hybrid and Multi-Cloud. End-to-end Data Lifecycle.

Technical Review 86

Technical Review Marketing Technology Data 86

Prisma Clud

SEPTEMBER 21, 2023

In this blog post, we delve into Zero Trust and the best practices that exemplify it in cloud environments. Leveraging advanced machine learning, Prisma Cloud monitors normal network behavior in each customer's cloud environment and detects network anomalies and zero-day attacks with remarkable accuracy. Palo Alto Networks.

Cloud 105

Cloud Network Policies Machine Learning 105

Cloudera

JANUARY 19, 2022

We have been working hard to build our cloud-native data services on Cloudera Data Platform (CDP), which include CDP Data Warehouse, CDP Operational Database, CDP Machine Learning, CDP Data Engineering and CDP Data Flow. We were named a Visionary having a strong market understanding and a robust roadmap for the cloud DBMS market.

Report 87

Report Technical Advisors Cloud Analytics 87

Gorilla Logic

NOVEMBER 13, 2019

NET Core is an open-source, free, multi-platform framework from Microsoft; it replaces.NET Framework.NET Core 3.0 The open-source philosophy behind.NET Core, combined with its features, makes it increasingly popular with developers.NET Core is one of the faster frameworks in the market. was released in September 2019.

.Net 91

.Net Open Source Azure Scalability 91

Netflix Tech

MARCH 5, 2019

In the Security space, our data teams focus almost all our efforts on detecting suspicious or malicious activity using a collection of machine learning and statistical models. Security Events Platform See open source project such as StreamAlert and Siddhi to get some general ideas.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Cloudera

AUGUST 11, 2022

To drive these data use cases, the Department of Defense (DoD) communities and branches require a reliable, scalable data transport mechanism to deliver data (from any source) from origination through all points of consumption; at the edge, on-premise, and in the cloud in a simple, secure, universal, and scalable way.

Data 89

Data Transportation Architecture Scalability 89

CTOvision

FEBRUARY 20, 2015

This new feature will allow dynamic provisioning of HDP clusters on the Google Cloud Platform, providing scalability for enterprise-wide solutions employing HDP, as well as providing a means for rapidly setting up prototyping and development environments. Azure Machine Learning Aims to Convert Data to Information (technewsworld.com).

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

Cloudera

MAY 28, 2019

Gartner states that “By 2022, 75% of new end-user solutions leveraging machine learning (ML) and AI techniques will be built with commercial instead of open source platforms” ¹. Data management for ML/AI – what’s the big deal?

Compliance 48

Compliance Innovation Meeting Industry 48

CTOvision

JUNE 15, 2015

You know Spark, the free and open source complement to Apache Hadoop that gives enterprises better ability to field fast, unified applications that combine multiple workloads, including streaming over all your data. But Spark is also open source where large teams of developers are contributing to continuously improve the capability.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Openxcell

APRIL 7, 2023

Machine Learning has noticed rapid growth—resulting in the creation of numerous tools and platforms for creating, evaluating, and deploying Machine Learning Models. The most popular Machine Learning tools have earned wide adoption in different industry settings and have active user and contributor groups.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Tools Artificial Intelligence 52

InfoBest

APRIL 6, 2022

You might want dependability, scalability, or safety. Another of the many advantages of using Python is the huge and excellent open-source community always ready to help, and the number of resources available. . One of the most used programming languages in the world can be employed in machine learning systems as well. .

Programming 52

Programming Software Review Machine Learning Artificial Inteligence 52

Mobilunity

NOVEMBER 10, 2021

TensorFlow is an open-source, end-to-end platform used for machine learning. PyTorch is a machine learning framework that accelerates the journey from research to full production deployment. FastAI is a popular open-source library mostly used for learning and practising deep learning and machine learning.

Artificial Inteligence 52

Artificial Inteligence Engineering Machine Learning Weak Development Team 52

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. Blog Post, Nov-2016. Dr. Richard L. London – UK. Connier & M.

Artificial Inteligence 42

Artificial Inteligence Machine Learning Analytics Big Data 42

Cloudera

JANUARY 31, 2024

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. This is the first part of a two-blog series. Replication can be dynamically enabled for topics and consumer groups.

Policies 68

Policies Metrics Load Balancer Software Review 68

Cloudera

MARCH 27, 2019

In today’s digitally connected enterprises, data originates from the edge, streams into the data center, lands in an Enterprise Data Cloud for downstream processing including Machine Learning and then serves back to the edge for real-time prediction and action. NiFi can handle all types of data across any type of data source.

Artificial Inteligence 71

Artificial Inteligence IoT Machine Learning DevOps 71

IDC

DECEMBER 2, 2019

This blog lists the top 10 worldwide predictions for enterprise infrastructure. The next generation applications that help drive successful business transformation demand more performance, availability, scalability and agility that legacy storage infrastructure can provide, and many enterprises embark on infrastructure modernization projects.

Infrastructure 52

Infrastructure Enterprise Artificial Inteligence Hardware 52

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. Take a test drive of Airflow in Cloudera Data Engineering yourself today to learn about its benefits and how it could help you streamline complex data workflows.

Off-The-Shelf 95

Off-The-Shelf Data Engineering Virtualization Cloud 95

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Troubleshooting a session in Edgar When we started building Edgar four years ago, there were very few open-source distributed tracing systems that satisfied our needs. —?which is difficult when troubleshooting distributed systems.

Infrastructure 93

Infrastructure Microservices Systems Review Storage 93

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

High Scalability

JANUARY 11, 2019

I even wrote a blog post about it a while ago. The blog’s about linguistics specifically, but most of it applies to machine learning as well. Consume Explain the Cloud Like I'm 10 (35 nearly 5 star reviews). Dr. Rachael Tatman : My universal advice is to not get a Ph.D. I think that having a Ph.D.

Scalability 13

Scalability Internet Technical Review Open Source 13

Kentik

AUGUST 28, 2019

In this blog post, we will review the current state of streaming telemetry and its ecosystem, discuss our take on the value that streaming telemetry brings to the network analytics table, and outline Kentik’s approach to powering-up network teams by leveraging streaming telemetry. The Vendor Ecosystem. Arista - EOS. Nokia - SR OS.

Network 52

Network Analytics Metrics Technical Review 52

Cloudera

JUNE 7, 2022

We deliver cloud-native data analytics across the full data lifecycle – data distribution, data engineering, data warehousing, transactional data, streaming data, data science, and machine learning – that’s portable across infrastructures. The post The Future Is Hybrid Data, Embrace It appeared first on Cloudera Blog.

Data 108

Data Architecture Analytics Government 108

Altexsoft

JUNE 7, 2019

If your company is among them, you will need to label massive amounts of text, images, and/or videos to create production-grade training data for your machine learning (ML) models. That means you’ll need smart machines and skilled humans in the loop. Want to write an article for our blog? There is a third option.

Tools 88

Tools Data Technical Review Open Source 88

John Snow Labs

MAY 25, 2023

You can see the differences between the rule-based approach and Machine Learning (ML) approach in the figure below. Difference between rule-based and machine learning based sentiment analysis applications In this post, you will learn how to use Spark NLP to perform sentiment analysis using a rule-based approach.

Machine Learning 52

Machine Learning Artificial Inteligence Analysis Training 52

Instaclustr

JUNE 4, 2019

At Instaclustr, we constantly push ourselves to test the limits of the performance and scalability of the open source technologies our Managed Platform offers. Kafka is a good choice for fast scalable ingestion of streaming data. – Arthur C. Application Design.

Scalability 29

Scalability Open Source AWS Applications 29

Kentik

JULY 24, 2019

Gartner has coined the term “AIOps” to advance these techniques by applying machine learning (ML) and artificial intelligence (AI) to the problem in order to better address the challenge. They point out three main areas where AIOps can be applied, which I’ll dig into further in this blog post: Root Cause Analysis (RCA).

Artificial Inteligence 45

Artificial Inteligence Data Software Review Systems Review 45

Palo Alto Networks

SEPTEMBER 16, 2021

In short, Zero Trust for 5G presents an opportunity for service providers, enterprises and organizations to re-think how users, applications and infrastructure are secured in a way that is scalable and sustainable for modern cloud, SDN-based environments and open-sourced 5G networks. Please contact us when you’re ready to talk.

Firewall 80

Firewall IoT Artificial Inteligence Software Review 80

Mobilunity

MAY 13, 2023

It is based on open-source code. Knowledge in Machine Learning. Skills in coding of scalable applications. Programmers should have a clue of the requirements for the scalability and the most important performance metrics that should be used to achieve it. It is used for graphical and statistical computing.

Development 52

Development Analysis Programming Scalability 52

CloudSphere

OCTOBER 29, 2019

By migrating services, resources and applications to the cloud, companies are attaining greater agility, scalability, redundancy and cost savings. While Azure is beginning to support open source platforms, it is still a Windows dominated ecosphere. Machine learning and AI are strong motivators migrating workloads to the cloud.

Google Cloud 40

Google Cloud Cloud Azure AWS 40