Cloudera

SEPTEMBER 30, 2022

Cloudera DataFlow for the Public Cloud (CDF-PC) is a cloud-native service for Apache NiFi within the Cloudera Data Platform (CDP). Since its initial release in 2021, CDF-PC has been helping customers solve their data distribution use cases that need high throughput and low latency requiring always-running clusters.

Serverless 75

Serverless Microservices Lambda IoT 75

Prisma Clud

JANUARY 24, 2023

Kubernetes doesn’t exist in a vacuum; in most cases, it leverages infrastructure as code (IaC) and is part of a continuous integration/continuous delivery (CI/CD) pipeline that DevOps teams use to deliver software. Secrets scanning tools are the key to checking for sensitive data like passwords and access keys inside source code.

DevOps 52

DevOps Software Review Systems Review Infrastructure 52

Perficient

FEBRUARY 13, 2024

Databricks is a cloud-based data processing and data warehousing platform that has gained immense popularity in recent years. It was developed by the creators of Apache Spark, an open-source big data processing framework. When combined with Databricks, Dolly unlocks a whole new level of data analytics potential.

Artificial Inteligence 52

Artificial Inteligence Analytics Machine Learning Testing 52

Hacker Earth Developers Blog

JANUARY 16, 2023

Thus, they may opt to deploy funds from the pay budget to finance current assets to increase liquidity. For instance, you can check your existing hiring metrics and data to know what area to focus on to improve the hiring process. Build your employer’s brand. Build Candidate Relationships.

Recruiting 143

Recruiting Technical Review Weak Development Team Budget 143

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. It forms a foundational element for building robust and reliable distributed architectures.

Policies 71

Policies Metrics Load Balancer Software Review 71

Cloudera

OCTOBER 13, 2020

On September 24, 2019, Cloudera launched CDP Public Cloud (CDP-PC) as the first step in delivering the industry’s first Enterprise Data Cloud. CDP Machine Learning: a kubernetes-based service that allows data scientists to deploy collaborative workspaces with secure, self-service access to enterprise data. That Was Then.

Cloud 98

Cloud Machine Learning Artificial Inteligence Azure 98

Netflix Tech

AUGUST 30, 2021

In this blog post, we will focus on the latter feature set. The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. In particular, the Kafka integration is the most relevant for this blog post.

Software Review 85

Software Review Systems Review Windows Testing 85

CircleCI

APRIL 4, 2022

Automation goes beyond just building solutions to replace complex or time-consuming manual processes. For example, deploying updates to applications can and should be automated. I will guide you through implementing a continuous deployment (CD) pipeline to release updates to an application as soon as changes are pushed.

Construction 52

Construction Quality Assurance Testing Applications 52

The Citus Data

OCTOBER 1, 2021

Starting today, you can deploy Postgres 14 in many Hyperscale (Citus) regions. In this blog post, you’ll first get a glimpse into some of our favorite features in Postgres 14. PostgreSQL 14 brings new improvements across performance, data types, database administration, replication, and security.

Azure 130

Azure Software Review Testing Open Source 130

Cloudera

JULY 18, 2022

In part 1 of this blog we discussed how Cloudera DataFlow for the Public Cloud (CDF-PC), the universal data distribution service powered by Apache NiFi, can make it easy to acquire data from wherever it originates and move it efficiently to make it available to other applications in a streaming fashion. Data decays!

Analytics 92

Analytics Data Applications System 92

Cloudera

SEPTEMBER 29, 2022

Data teams have the impossible task of delivering everything (data and workloads) everywhere (on premise and in all clouds) all at once (with little to no latency). Each of these trends claim to be complete models for their data architectures to solve the “everything everywhere all at once” problem. Data mesh defined.

Architecture 76

Architecture Trends Data Data Center 76

Cloudera

FEBRUARY 22, 2023

Cloudera’s SQL Stream Builder (SSB) is a versatile platform for data analytics using SQL. SQL has been around for a long time, and it is a very well understood language for querying data. The SQL standard has had time to mature, and thus it provides a complete set of tools for querying and analyzing data.

Analytics 86

Analytics Examples Data Programming 86

CircleCI

MARCH 21, 2022

Deploying the app to Heroku using scheduled pipelines. Database backup protects your data by creating a copy of your database locally, or remotely on a backup server. This tutorial is a companion to Automating database cleanup with scheduled pipelines. This tutorial covers: Setting up a MongoDB backup for a Node.js

Backup 52

Backup Applications Azure Storage 52

CircleCI

JUNE 9, 2021

In this blog post, we cover the what, why, and how of CircleCI orbs, and leave you with some guidance on how to implement orbs into your own CI/CD practice. Using orbs in your pipelines can save a lot of time. Enterprise customers have hundreds of thousands of CI/CD pipelines and that means configuration files to match.

Testing 59

Testing Open Source Scalability Applications 59

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

Data 113

Data Architecture Analytics Government 113

Confluent

MARCH 26, 2019

Apache-Kafka ® -based applications stand out for their ability to decouple producers and consumers using an event log as an intermediate layer. One result of this is that producers and consumers don’t know about each other, as there is no direct communication between them. The transport component is used to ingest tracing data.

Applications 111

Applications Transportation Architecture Open Source 111

Mobilunity

DECEMBER 21, 2022

One of the essential goals of sourcing and using data is to help businesses make better decisions, so they can be at the top of their industries. To do this effectively, many businesses employ data scientists. These experts help to collect, visualize, and make sense of all kinds of data correctly. Agriculture.

Data 52

Data How To Machine Learning Artificial Inteligence 52

Honeycomb

DECEMBER 20, 2021

Getting started with observability can be time consuming. Attendees had the opportunity to learn via plenty of hands-on exercises, from sending trace data to Honeycomb using OpenTelemetry, to identifying performance issues using Honeycomb features. . Missed signing up for this workshop and experiencing FOMO? All in under 10 minutes.

Development 52

Development Metrics Exercises Enterprise 52

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. It requires rethinking the data lifecycle itself. .

Innovation 90

Innovation Artificial Inteligence Data IoT 90

O'Reilly Media - Ideas

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. Specific prompts seem to “unlock” training data. Generative AI Has a Plagiarism Problem ChatGPT, for example, doesn’t memorize its training data, per se. This is the basis of The New York Times lawsuit against OpenAI.

ChatGPT 117

ChatGPT Artificial Inteligence Generative AI Technical Review 117

Honeycomb

JUNE 22, 2022

Among some of the issues are visualizations, and the time it takes to be able to query data. This data can be very useful to understand the usage of your site. Which specific URLs in my app, deployed using AppService, are slow? And we’re now done setting up the Logs pipeline. What are HTTP Access Logs? Let’s get started.

Azure 63

Azure Load Balancer Linux Software Review 63

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Data 110

Data Artificial Inteligence Analytics Machine Learning 110

Openxcell

JULY 27, 2023

In this blog, we will discuss the trends to follow to stay relevant in the industry and the top SaaS companies to watch in 2023. Almost all customer data is stored in a cloud environment. In this way, customers do not require data center-based or in-house applications. What are SaaS companies?

Company 52

Company Software Review Mobile Trends 52

Mobilunity

DECEMBER 14, 2023

Data and algorithms are the fundamental building elements of an AI system, which acts as a conductor for a complex system of interdependent parts. The Fundamental Components: Data and Algorithms In the realm of AI, data is the lifeblood, coursing through the veins of machine intelligence.

Artificial Inteligence 52

Artificial Inteligence How To Technical Review Artificial Intelligence 52

Datavail

DECEMBER 9, 2021

Over time, as software vendors retool and reinvent their products, they also build in a ‘support services sunset date’ for their earlier program versions. For example, developers can build a safe-to-deploy container by securing the individual elements that make up its contents and the systems in which it will work.

Organization 52

Organization Technical Review Systems Review Software Review 52

Netflix Tech

OCTOBER 7, 2021

However, Netflix is available for streaming on thousands of types of devices and it is powered by hundreds of micro-services which are deployed independently, making it extremely challenging to comprehensively test internally. At Netflix, we have significant investments in ensuring new versions of our applications are well tested.

Applications 79

Applications Metrics Testing Analysis 79

Altexsoft

SEPTEMBER 30, 2022

Microservice architectures are well known for their modern application-building strategy that allows you to reuse and redesign specific areas based on your requirements. Containers have become the mainstream for developers and enterprises to build cloud-native applications. Containerization.

Applications 52

Applications Cloud Software Review Microservices 52

Confluent

APRIL 18, 2019

Frehse and his team are using Confluent Cloud and associated IoT technologies to build a data-driven food value chain for all their partners from farm to fork. By capturing data throughout the chain, BAADER can give factories the ability to improve animal welfare, track trucks and identify machines that need maintenance.

IoT 81

IoT Industry Cloud Retail 81

Mobilunity

JANUARY 4, 2024

In this guide, we look at how long does it take to build an app that can match the caliber of industry giants, including: Airbnb This app transformed the hospitality industry by allowing individuals to rent out their homes or spare rooms to travelers. Evaluating the intricacy of your app concept is essential to establish realistic timelines.

UI/UX 52

UI/UX Recruiting Quality Assurance Minimum Viable Product 52

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Should you build software in-house or outsource it? At the top of the CEO agenda?: • Launch new products and services that improve customer experience.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Cloudera

SEPTEMBER 2, 2021

The shift to cloud has been accelerating, and with it, a push to modernize data pipelines that fuel key applications. At Cloudera, we introduced Cloudera Data Engineering (CDE) as part of our Enterprise Data Cloud product — Cloudera Data Platform (CDP) — to meet these challenges. fixed sized clusters).

Data Engineering 86

Data Engineering Performance Engineering Data 86

Netflix Tech

SEPTEMBER 8, 2020

We went from an essentially serverless model in a monolithic service, to deploying and maintaining a new microservice that hosted our app backend endpoints. This allowed Android engineers to have much more control and observability over how we get our data.

Microservices 93

Microservices Video Software Review Metrics 93

Cloud That

NOVEMBER 23, 2022

Storing data with Blob Storage & Cosmos DB. Also, if you don’t have any experience deploying ARM templates in Azure and want to learn from scratch the following tutorial will give you a step-by-step guidance:? So, everybody wants a shot at deploying their apps through containers instead of Virtual. TABLE OF CONTENT.

Case Study 71

Case Study Azure Study How To 71

Instaclustr

JUNE 4, 2019

In the past few months, our Technology Evangelist, Paul Brebner has been relentlessly testing the limits of massive-scale deployment of a data pipeline consisting of Apache Kafka and Apache Cassandra on the Instaclustr Managed Platform in conjunction with an example Anomaly detection application running on a Kubernetes cluster deployed on AWS EKS.

Scalability 29

Scalability Open Source AWS Applications 29

Netflix Tech

OCTOBER 15, 2019

Part I: Overview Andreas Andreakis , Falguni Jhaveri , Ioannis Papapanagiotou , Mark Cho , Poorna Reddy , Tongliang Liu Overview It is a commonly observed pattern for applications to utilize multiple datastores where each is used to serve a specific need such as storing the canonical form of data (MySQL etc.), caching (Memcached etc.),

Data 77

Data Microservices Transportation Systems Review 77

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

Datavail

AUGUST 16, 2022

They’re all caused by app vulnerabilities that either allow entry by suspect data or users to corporate data stores, or open wide doors to ambitious but nefarious 21-year-old hackers. million payout from Colonial Pipeline by using a compromised password to shut down one of the largest fuel transports in the country.

Weak Development Team 40

Weak Development Team Quality Assurance Airlines Budget 40