Netflix Tech

NOVEMBER 11, 2022

By Vi Iyengar , Keila Fong , Hossein Taghavi , Andy Yao , Kelli Griggs , Boris Chen , Cristina Segalin , Apurva Kansara , Grace Tang , Billur Engin , Amir Ziai , James Ray , Jonathan Solorzano-Hamilton Welcome to the first post in our multi-part series on how Netflix is developing and using machine learning (ML) to help creators make better media?—?

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LinkedIn Engineering

MARCH 21, 2023

One of the most exciting parts of our work is that we get to play a part in helping progress a skills-first labor market through our team’s ongoing engineering work in building our Skills Graph. This dual approach helps grow the taxonomy at scale while ensuring the skills data meets our required quality and standards.

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Building Recruitment Machine Learning Deep Learning 85

Netflix Tech

OCTOBER 19, 2020

a Netflix member via Twitter This is an example of a question our on-call engineers need to answer to help resolve a member issue?—?which In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. We needed to increase engineering productivity via distributed request tracing.

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Cloudera

DECEMBER 21, 2020

In this blog we will take you through a persona-based data adventure, with short demos attached, to show you the A-Z data worker workflow expedited and made easier through self-service, seamless integration, and cloud-native technologies. In our data adventure we assume the following: . The Data Scientist.

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Netflix Tech

JANUARY 25, 2023

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. Annotations Sometimes people describe annotations as tags but that is a limited definition. Teams should be able to define their data model for annotation.

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Netflix Tech

APRIL 27, 2023

Engineers want their alerting system to be realtime, reliable, and actionable. A few years ago, we were paged by our SRE team due to our Metrics Alerting System falling behind — critical application health alerts reached engineers 45 minutes late! Data expressions define what data needs to be sourced in order to evaluate a query.

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Pinterest Engineering

JULY 18, 2023

Brian Overstreet | Software Engineer, Observability; Humsheen Geo | Software Engineer, Observability Time series is a critical part of Observability at Pinterest, powering 60,000 alerts and 5,000 dashboards. This blog post describes TScript and how we use it at Pinterest. This causes issues when performing analysis on the data.

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Knowledge Hut

JANUARY 2, 2024

Businesses can reach a wider audience and improve their standing in the marketplace by leveraging several digital marketing platforms, including search engine optimization (SEO), social media, and email marketing. For instance, Adobe's website is made to highlight the business's experience in the creative software sector.

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Netflix Tech

OCTOBER 27, 2023

How Netflix’s Container Platform Connects Linux Kernel Panics to Kubernetes Pods By Kyle Anderson With a recent effort to reduce customer (engineers, not end users) pain on our container platform Titus , I started investigating “orphaned” pods. ", Just making a place to put this data is a great start. Where are they going, exactly?

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Metadata Cloud Coding Engineering 91

Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. If you hand a book to a new data engineer, what wisdom would you add to it? Can you start by describing what you are building at Audio Analytic?

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DareData

NOVEMBER 28, 2023

In today's data-driven world, machine learning has emerged as a transformative force, empowering organizations to extract valuable insights from vast amounts of data. As the scope of the models and the data continues to scale, the role of a Data Scientist has evolved accordingly in the last years. But that is not all!

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Knowledge Hut

JANUARY 12, 2024

Well, in a technologically advanced world, Cloud refers to a place where you can store and manage data on a device. Mostly, all companies have started using the Cloud for storing and managing data. Data centers and warehouses typically operate cloud computing systems of databases and software. What is Cloud Computing?

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AltexSoft

AUGUST 25, 2021

Internet search engines are wonderfully helpful when auto-filling our queries, language translation has never been more seamless and correct, and advanced grammar checks save our reputation when we’re sending emails. Specifics of data used in NLP. Another way to handle unstructured text data using NLP is information extraction (IE).

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Ripple Engineering

MARCH 30, 2023

This blog outlines Ripple’s general design and approach for machine learning model lifecycle management using Databricks. Tracking models and all associated data is helpful in tracking performance over time, backtesting experiments and A/B testing. Each cluster has a service account that has access to the requisite data.

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ProjectPro

JULY 21, 2021

In this blog, explore a diverse list of interesting NLP projects ideas, from simple NLP projects for beginners to advanced NLP projects for professionals that will help master NLP skills. Utilize natural language data to draw insightful conclusions that can lead to business growth. Design NLP-based applications to solve customer needs.

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ProjectPro

SEPTEMBER 29, 2021

The application of this technology encompasses everything from advanced web search engines like Google, the recommendations systems used by Amazon, Netflix, Youtube, virtual assistants like Alexa or Siri, the self-driving Tesla cars, and so on. Recommended Reading: How to Become an MLOps Engineer? What is Natural Language Processing?

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Knowledge Hut

OCTOBER 27, 2023

Whether you are a student or a working professional, the journey to be an industry-ready Data Scientist would never be fulfilled unless there is a good portfolio of projects considerably demonstrated in the resume. Choosing the right project is crucial as it could set you apart from the other Data Scientists. to detect anomalies.

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Data Science Python Project Manufacturing 52

Cloudera

JUNE 15, 2021

This blog will walk through how to deploy a Private Cloud Base cluster, with security, with a minimum of human interaction. We can run the quickstart environment, which is a Docker container we can run locally or within a pipeline, or we can install the dependencies on a Linux machine in our data center infrastructure.

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Cloud AWS Kafka Management 82

Knowledge Hut

APRIL 20, 2023

Businesses can reach a wider audience and improve their standing in the marketplace by leveraging several digital marketing platforms, including search engine optimization (SEO), social media, and email marketing. For instance, Adobe's website is made to highlight the business's experience in the creative software sector.

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Media Designing Accessible Accessibility 52

phData: Data Engineering

OCTOBER 12, 2022

In this blog post, we’ll dive into six of the most powerful dbt Cloud features and many others that you probably don’t know about. This documentation can give different users insight into where data came from, what the profile of the data is, what the SQL looked like, and the DAG to know where the data is being used.

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Cloud Metadata SQL Data Warehouse 52

ProjectPro

FEBRUARY 21, 2023

This blog will explore the need for image-processing and various python image processing libraries available to computer vision engineers for different use cases. stars and more than 994k users on GitHub indicates how popular it is among data science enthusiasts. Data scientists can use it to turn each pixel into a greyscale.

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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.

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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. . That way, the data can continue generating actionable insights. . technologies.

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Scott Logic

NOVEMBER 9, 2023

An offshoot from the Linux Foundation founded in 2021, GSF focuses on making software engineering more sustainable. There are also projects in an incubation status that are worth following, like the Impact Engine Framework , which aims to aid in the estimation of emissions using standardised models.

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Knowledge Hut

SEPTEMBER 27, 2023

Moreover, Azure's global presence, with data centers strategically located worldwide, ensures low-latency access and high availability, catering to a global user base. Additionally, its unwavering dedication to modern data protection standards underscores its focus on security, privacy, and compliance.

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Knowledge Hut

SEPTEMBER 29, 2023

In today's business world, the power of data is undeniable. Big data, in particular, is growing rapidly, and experts predict it could be worth a whopping $273.4 This growth is creating a strong demand for data experts, especially Azure data engineers. But who are Azure data engineers, and what do they do?

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Certification Data Engineering Data Engineer Engineering 52

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

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Knowledge Hut

MARCH 19, 2024

In this blog, I will explore the new possibilities that come with AWS for Wordpress, which can help you charge your digital presence with full performance and functioning. On the following screens, click Next, Then Add Storage, and so on: Tag Instance. Choose AWS as your cloud provider and select your preferred data center.

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Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

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Knowledge Hut

MARCH 28, 2024

Please consider this blog as a guide to 10 famous projects that failed. The group of engineers hired for the project attempted to build a system that can operate at a 100-200 times greater speed compared to its nearest competitor. Their primary objective was to attach bar-coded tags to baggage in order to fully automate the process.

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Cloudera

APRIL 30, 2021

Cloudera Data Engineering (CDE) is a cloud-native service purpose-built for enterprise data engineering teams. To deploy this example, follow these steps – Get the base image name & tag from the Cloudera docker repository. image-engine="spark2". Try out Cloudera Data Engineering today!

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Python Data Engineering Data Engineer Engineering 61

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

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Data Ingestion Data Engineering Data Engineer Engineering 52

Cloudera

SEPTEMBER 11, 2020

In this blog post, we are going to take a look at some of the OpDB related security features of a CDP Private Cloud Base deployment. Data-at-rest encryption. Transparent data-at-rest encryption is available through the Transparent Data Encryption (TDE) feature in HDFS. . Mature key lifecycle management features.

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Database Big Data Ecosystem Transportation SQL 65

Knowledge Hut

DECEMBER 28, 2023

Imagine having a framework capable of handling large amounts of data with reliability, scalability, and cost-effectiveness. In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. That's where Hadoop comes into the picture.

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Hadoop Project Datasets Big Data 52

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. With that background information in mind, we’re ready to take a look at some actual tools and properly uncover what’s the best data catalog for your business. Where is your metadata stored?

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Monte Carlo

JUNE 22, 2023

At our latest IMPACT summit, Roche shared their data mesh strategy for creating reliable data products. The goal of the Roche data team is to maximize the outcomes of customers and patients through data and analytics products. So they agreed to leverage Data Vault 2.0 It became clear they had to shake things up.

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Building Data Ingestion Data Business Analyst 52

Pinterest Engineering

OCTOBER 31, 2023

In this article, we discuss the PinCompute primitives, architecture, control plane and data plane capabilities, and showcase the value that PinCompute has delivered for innovation and efficiency at Pinterest. For example, removing managed fields will reduce up to 50% data size for PinCompute API calls.

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