Data Engineering Weekly

FEBRUARY 19, 2023

Netflix: Scaling Media Machine Learning at Netflix Netflix writes about media machine learning infrastructure and media-focused ML infrastructure to reduce the time from ideation to productization for media ML practitioners. The blog mostly focuses on how it optimizes the batch pipeline using Airflow and BigQuery.

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Data Engineering Weekly

MARCH 19, 2023

link] Uber: Setting Uber’s Transactional Data Lake in Motion with Incremental ETL Using Apache Hudi Uber writes a comprehensive guide on running incremental ETL using Apache Hudi. The blog discusses implementing Type-2 SCD modeling and strategies to generate surrogate keys and bridge tables to handle many-to-many relationships.

Data Engineering 57

Data Engineering Data Engineer Engineering Media 57

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. Distributed tracing has been key for helping us create a clear understanding of how applications are related to each other. Distributed tracing with Zipkin.

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Netflix Tech

OCTOBER 28, 2021

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.

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Data Engineering Podcast

APRIL 19, 2020

Eventador is a managed platform designed to let you focus on using the data that you collect, without worrying about how to make it reliable. This was an interesting inside look at building a business on top of open source stream processing frameworks and how to reduce the burden on end users.

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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.),

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Knowledge Hut

DECEMBER 27, 2023

Software developers are the great mastermind behind video games with amazing graphics or mobile and web applications that you use smoothly. Software developers design and develop applications for various technologies using several tools and talents. So, if you have the right skills, this might be the right career option for you.

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Medical Programming Language Amazon Web Services Entertainment 98

Knowledge Hut

MARCH 28, 2024

In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. They use many data storage, computation, and analytics technologies to develop scalable and robust data pipelines. Data science has become one of the most trending fields today. Data engineering is one of them.

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Knowledge Hut

FEBRUARY 16, 2023

This blog helps you understand more about the data engineer salary in US. Using data, a typical data engineer helps machines to perform their duties. How Much Do Data Engineers Make in the US? Let's look at data engineer salaries in US. On average, a data engineer in USA earns over $1,14,435.

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Rockset

JANUARY 23, 2020

Because one of the most common use cases of the new databases is storing data that is generated by high-throughput sources, it is important that the store engine is able to handle write-intensive workloads, all while offering acceptable read performance. The advantages of RocksDB over other store engines are: Technical design.

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ProjectPro

JUNE 18, 2021

This blog aims to answer all questions on how Java vs Python compare for data science and which should be the programming language of your choice for doing data science in 2021. According to Popularity of Programming Languages (PYPL) , Python and Java are two of the most popular programming languages in use as of June 2021.

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Databand.ai

DECEMBER 13, 2022

Joseph also manages the Start Data Engineering newsletter, which features tutorials, data design patterns, open-source tools, and techniques used by data-driven companies to help others become better data engineers and land their dream data engineering job. And one of the best places to do just that? Happy following!

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Data Engineering Weekly

MARCH 31, 2024

Intuit: How Intuit data analysts write SQL 2x faster with the internal GenAI tool The productivity increase with GenAI is undeniable, and several startups are trying to solve the Text2SQL generation problem. The blog further emphasizes its increased investment in Data Mesh and clean data.

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Netflix Tech

AUGUST 1, 2022

A Data Movement and Processing Platform @ Netflix By Bo Lei , Guilherme Pires , James Shao , Kasturi Chatterjee , Sujay Jain , Vlad Sydorenko Background Realtime processing technologies (A.K.A stream processing) is one of the key factors that enable Netflix to maintain its leading position in the competition of entertaining our users.

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Process Transportation Kafka Entertainment 108

Knowledge Hut

JANUARY 16, 2024

In this comprehensive blog, we delve into the foundational aspects and intricacies of the machine learning landscape. From Netflix recommendations to online stores, machine learning crafts personalized suggestions by delving into your history, ratings, and preferences. What Is Machine Learning?

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Machine Learning Engineering Programming Language Algorithm 98

Rockset

MARCH 18, 2024

It powers steam processing at many companies including Uber, Netflix, and Linkedin. Rockset customers using Flink often share how challenging it is to self-manage Flink for streaming transformations. Today, Confluent announced the general availability of its serverless Apache Flink service. What is RAG?

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Netflix Tech

MARCH 10, 2023

By Burak Bacioglu , Meenakshi Jindal Asset Management at Netflix At Netflix, all of our digital media assets (images, videos, text, etc.) Amsterdam service utilizes various solutions such as Cassandra , Kafka , Zookeeper , EvCache etc. The first layer, Cassandra , is the source of truth for us. Net, Ruby, Perl etc.).

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ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks. Why use PySpark? Why use PySpark?

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Data Engineering Weekly

NOVEMBER 13, 2022

Vicki Boykis: How I learn machine learning Adopting a new skill is always challenging, but that is where we grow as a programmer. Vicki Boykis: How I learn machine learning Adopting a new skill is always challenging, but that is where we grow as a programmer. I'm a software engineer; how can I transition to a Machine Learning engineer?

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Data Engineering Weekly

JANUARY 15, 2023

I write about how Data Catalogs are failing with the recent article Data Catalog - A Broken Promise. Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools.

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AltexSoft

OCTOBER 21, 2022

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka? How Apache Kafka streams relate to Franz Kafka’s books. What Kafka is used for.

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Data Engineering Weekly

DECEMBER 4, 2022

Jack Pullikottil: Reinventing Data Models: Keystone for Modern Data Platforms What is the role of data models in modern data platforms, and how have they changed in recent years? The cost optimization favors more generalized than specialized, so it will be interesting to see how it will turn out. You still require cleaning it up.

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ProjectPro

AUGUST 24, 2021

Most of us have observed that data scientist is usually labeled the hottest job of the 21st century, but is it the only most desirable job? And, out of these professions, this blog will discuss the data engineering job role. Within no time, most of them are either data scientists already or have set a clear goal to become one.

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Big Data Tools

SEPTEMBER 6, 2021

How cool is that? rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! August is usually a quiet month, with vacations taking their toll. But data engineering never stops. Here’s what’s happening in data engineering right now.

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DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Continuous Deployment.

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Big Data Tools

SEPTEMBER 6, 2021

How cool is that? rc0 – If you like to try new releases of popular products, the time has come to test Kafka 3 and report any issues you find on your staging environment! August is usually a quiet month, with vacations taking their toll. But data engineering never stops. Here’s what’s happening in data engineering right now.

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Data Engineering Data Engineer Engineering Big Data Tools 40

ProjectPro

JUNE 29, 2021

Your search for Apache Kafka interview questions ends right here! Let us now dive directly into the Apache Kafka interview questions and answers and help you get started with your Big Data interview preparation! How to study for Kafka interview? What is Kafka used for? What are main APIs of Kafka?

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Kafka Bytes Big Data Java 40

AltexSoft

MAY 14, 2021

Not only does Big Data apply to the huge volumes of continuously growing data that come in different formats, but it also refers to the range of processes, tools, and approaches used to gain insights from that data. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

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ProjectPro

NOVEMBER 15, 2021

Anyone can freely use, study, modify and improve the project, enhancing it for good. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects?

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U-Next

AUGUST 10, 2022

How much is it in your city? This deluge of knowledge is only a luxury when we use it wisely for our benefit and objectives. For continual progress, one should understand all the whats, whys, and how’s of the facts or material next to us. Read more to know! Introduction. The idea of a Data Engineer is now relevant.

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Data Engineering Data Engineer Engineering Data Science 52

Netflix Tech

NOVEMBER 3, 2023

Democratizing Stream Processing @ Netflix By Guil Pires , Mark Cho , Mingliang Liu , Sujay Jain Data powers much of what we do at Netflix. On the Data Platform team, we build the infrastructure used across the company to process data at scale. The Processors themselves are implemented as Flink jobs that use the DataStream API.

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SQL Pipeline-centric Kafka Data 106

Cloudera

NOVEMBER 27, 2023

This blog is a summary of what we observed there for anyone who was unable to attend or just wants to stay on top of what’s happening in streaming. This blog is a summary of what we observed there for anyone who was unable to attend or just wants to stay on top of what’s happening in streaming. Takeaway No. Takeaway No.

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Data Engineering Weekly

FEBRUARY 5, 2023

The blog is an excellent overview of problems with floating points and integer data types. The blog walkthrough how with a single CLI command, users can create their own Ray cluster with preinstalled ML tools, ready-to-run notebook tutorials, VS Code server for in-browser editing, and SSH access.

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