Pinterest Engineering

JANUARY 18, 2024

In particular, our machine learning powered ads ranking systems are trying to understand users’ engagement and conversion intent and promote the right ads to the right user at the right time. Specifically, such discrepancies unfold into the following scenarios: Bug-free scenario : Our ads ranking system is working bug-free.

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Systems Machine Learning Data Mining Algorithm 78

Data Science Blog: Data Engineering

SEPTEMBER 19, 2023

In the contemporary age of Big Data, Data Warehouse Systems and Data Science Analytics Infrastructures have become an essential component for organizations to store, analyze, and make data-driven decisions. So why using IaC for Cloud Data Infrastructures?

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Data Warehouse Coding Systems Cloud 52

Knowledge Hut

MARCH 28, 2024

The modern tech-driven landscape is ideal for System Administrators. As computers continue to permeate every aspect of the economy, the need for skilled System Administrators is expected to grow exponentially. Who Is a System Administrator?

Systems 52

Systems Computer Science Certification Recruitment 52

Lyft Engineering

APRIL 21, 2023

Building a large scale unsupervised model anomaly detection system — Part 1 Distributed Profiling of Model Inference Logs By Anindya Saha , Han Wang , Rajeev Prabhakar Introduction LyftLearn is Lyft’s ML Platform. In a previous blog post , we explored the architecture and challenges of the platform. The data is skewed.

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Systems Building Machine Learning Datasets 105

Uber Engineering

SEPTEMBER 9, 2021

Uber deploys a few storage technologies to store business data based on their application model.

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Systems Data Technology Engineering 126

Knowledge Hut

JANUARY 3, 2024

A major computer system component is its operating system (OS). It manages the hardware and software communication, allocates memory, controls data flow, provides security, and detects and corrects errors. A computer would be a little more than a useless computer without an operating system. What is Operating System (OS)?

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Systems Programming Python Accessible 52

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

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Machine Learning Data Preparation Government Data Analytics 52

Knowledge Hut

JANUARY 18, 2024

CISSP stands for Certified Information Systems Security Professional, and it is a certification in cyber security. This professional certification is developed and offered by (ISC)2, also known as International Information Systems Security Certification Consortium. This blog will help you understand the question “what is CISSP?

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Systems Certification Consulting Education 52

Lyft Engineering

APRIL 25, 2023

Building a large scale unsupervised model anomaly detection system — Part 2 Building ML Models with Observability at Scale By Rajeev Prabhakar , Han Wang , Anindya Saha Photo by Octavian Rosca on Unsplash In our previous blog we discussed the different challenges we faced for model monitoring and our strategy for addressing some of these problems.

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Systems Building Machine Learning Datasets 75

Rockset

DECEMBER 19, 2023

From his early days at Quora to leading projects at Facebook and his current venture at Fennel (a real-time feature store for ML), Nikhil has traversed the evolving landscape of machine learning engineering and machine learning infrastructure specifically in the context of recommendation systems.

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Knowledge Hut

JULY 26, 2023

But what precisely is operating system virtualization? This blog will provide you all the information about the Operating System virtualization along with AWS Solution Architect syllabus. What is Operating System Virtualization? Uses of Operating System Virtualization?

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Systems Cloud Computing Utilities Cloud 52

Data Engineering Weekly

MAY 12, 2024

This year, we added some additional features to bring the data community together. Gloss Genius: How We Migrated From dbt Cloud and Scaled Our Data Development Gloss Genius describes its migration journey from dbt cloud to Airflow + custom Github actions. At scale, it becomes impossible to enrich the data assets manually.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

LinkedIn Engineering

DECEMBER 6, 2022

With a reasonably sizable footprint of servers in data centers, LinkedIn is responsible for ensuring that these hosts are always on an operating system (OS) version deemed the ���latest and greatest��� for all intents and purposes. The existing solution had challenges with its maintainability, scalability, and high availability.

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Systems Metadata Datasets Designing 55

DataKitchen

MAY 10, 2024

Harnessing Data Observability Across Five Key Use Cases The ability to monitor, validate, and ensure data accuracy across its lifecycle is not just a luxury—it’s a necessity. Data Evaluation Before new data sets are introduced into production environments, they must be thoroughly evaluated and cleaned.

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Data Ingestion Datasets Data Coding 56

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. My key highlight is that Excellent data documentation and “clean data” improve results.

Data Engineering 62

Data Engineering Data Engineer Engineering Scala 62

Data Engineering Podcast

FEBRUARY 18, 2019

Summary Distributed storage systems are the foundational layer of any big data stack. Alluxio is a distributed virtual filesystem which integrates with multiple persistent storage systems to provide a scalable, in-memory storage layer for scaling computational workloads independent of the size of your data.

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Systems Java Media Algorithm 100

The Pragmatic Engineer

JUNE 1, 2023

Juraj included system monitoring parts which monitor the server’s capacity he runs the app on: The monitoring page on the Rides app And it doesn’t end here. Juraj created a systems design explainer on how he built this project, and the technologies used: The systems design diagram for the Rides application The app uses: Node.js

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Education Project PostgreSQL Software Engineer 363

Data Engineering Podcast

MARCH 10, 2024

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. Data lakes are notoriously complex. Join us at the top event for the global data community, Data Council Austin.

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Data Lake High Quality Data Data Pipeline Architecture 147

Pinterest Engineering

JANUARY 10, 2023

Liang Ma | Software Engineer, Core Eng; Wei Zhu | Software Engineer, Observability In early 2020, during a critical iOS out of memory incident (we have a blogpost for that), we realized that we didn’t have much visibility of how the app is running or a good system to look up for monitoring and troubleshooting.

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Systems Building Software Engineer Software Engineering 54

Palantir

APRIL 10, 2023

Our customers who rely on legacy code and infrastructure frequently face the following challenges: Modernizing is disruptive: Too often, the only options presented for modernization are highly disruptive — data lakes, code base overhauls, and multi-year roadmaps. Fuse disparate data to quickly produce new analyses.

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Systems Engineering Data Lake Coding 52

Christophe Blefari

NOVEMBER 18, 2023

Still I've accumulated a lot of articles that I think should fit in the Data News so this week might be a huge recap of content that has been produce in the last month. LLM-powered data classification for data entities at scale — Grab explains how you can use LLMs to do classification, in this case identifying PII in the database.

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Food Data Data Lake Retail 147

Jesse Anderson

SEPTEMBER 14, 2023

There has been quite a bit of writing covering GPT and LLMs from data science and business perspectives. I haven’t seen much from the data engineering side. Let me share my perspective, having been in data and AI for a while and using LLMs before they became popular. that summarizes blog posts using LLMs.

Data Engineering 147

Data Engineering Data Engineer Engineering NoSQL 147

Christophe Blefari

MARCH 31, 2023

We are slowly approaching the 2-years anniversary of the blog and the newsletter. To be honest time flies and I’d have preferred to do more for the blog in the start of the year but my freelancing activities and my laziness took me so much. Thanks to this we will be able to read LookML data from Tableau.

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Bytes Data Google Cloud Education 130

Uber Engineering

APRIL 5, 2018

Three years ago, Uber Engineering adopted Hadoop as the storage ( HDFS ) and compute ( YARN ) infrastructure for our organization’s big data analysis.

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Hadoop Systems Big Data Data Analysis 109

Scott Logic

NOVEMBER 15, 2023

Until now, you’ve probably expected all your tests to pass, but what happens when you test systems with inherent inbuilt randomness? You may think this will require you to run many tests, but this blog will give you a method for ensuring that we extract statistically valid results and how to do it quickly. The data is continuous.

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Systems Architecture IT Data 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process is critical as it ensures data quality from the onset.

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Data Ingestion Transportation High Quality Data Data Schemas 52

Data Engineering Weekly

APRIL 28, 2024

Intuit: The Data Mesh Strategy Behind Intuit’s Global Financial Technology Platform The Data Product Builder platform is becoming increasingly important in enterprise data engineering. It offers more targeted and customized data asset building than the general-purpose data stack.

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Data Engineering Data Engineer Engineering Hospitality 52

Data Engineering Weekly

MARCH 3, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: Chennai, India Meetup - March-08 Update We are thankful to Ideas2IT to host our first Data Hero’s meetup.

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Data Engineering Data Engineer Pipeline-centric Engineering 67

Rockset

SEPTEMBER 2, 2022

I recently had the good fortune to host a small-group discussion on personalization and recommendation systems with two technical experts with years of experience at FAANG and other web-scale companies. Prabhu has also worked in search and data engineering roles at Twitter, Google, and Microsoft. View the blog summary and video here.

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Systems Building Machine Learning NoSQL 52

Data Engineering Weekly

NOVEMBER 11, 2022

Not too long ago, I worked for a famous messaging platform; You may be typing on it as you read this blog. I took a break from data engineering and focused on system monitoring and observability for some time. As the famous saying goes; Once a data engineer, always a data engineer. The Data Ninjas: Is it 2010?

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Systems High Quality Data Consulting Metadata 40

Data Engineering Weekly

FEBRUARY 25, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Editor’s Note: DEWCon Europe Update & Data Hero’s Chennai Chapter Meetup Last week, we asked our readers if we should bring DEWCon to Europe.

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Data Engineering Data Engineer Engineering Kafka 62

Data Engineering Weekly

DECEMBER 10, 2023

RudderStack, one of the leading alternatives to Segment , is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Lackluster AI/ML results often stem from poor data quality. Visit rudderstack.com to learn more.

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Data Engineering Data Engineer Engineering Metadata 76

Pinterest Engineering

MAY 13, 2024

The subsequent blog post will delve into how we looked into our specific needs, evaluated multiple candidates and decided on the adoption of a new database technology. At its peak usage, we had around 50 clusters, 9000 AWS EC2 instances, and over 6 PBs of data.

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NoSQL MySQL Database Systems 69

Data Engineering Weekly

FEBRUARY 4, 2024

RudderStack is the Warehouse Native CDP, built to help data teams deliver value across the entire data activation lifecycle, from collection to unification and activation. Joe Reis: Definition of Data Modeling & What Data Modeling Is not Joe raised a very fundamental question in data engineering.

Data Engineering 62

Data Engineering Data Engineer Engineering PostgreSQL 62

Towards Data Science

MAY 19, 2023

Data Entropy — More Data, More Problems? How to navigate and embrace complexity in a modern data organisation. Webster’s dictionary defines Entropy in thermodynamics as a measure of the unavailable energy in a closed thermodynamic system that is also usually considered to be a measure of the system’s disorder.

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Pipeline-centric Data Software Engineer Software Engineering 105

U-Next

OCTOBER 27, 2022

An MIS ( Management Information Systems ) executive is responsible for the management of an organization’s computer systems, applications, and networks. An MIS executive also develops policies to ensure that data is secure and compliant with industry regulations. . MIS Executive Roles and Responsibilities .

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Systems Management Telecommunication Technology 52

Knowledge Hut

APRIL 25, 2024

Big data in information technology is used to improve operations, provide better customer service, develop customized marketing campaigns, and take other actions to increase revenue and profits. It is especially true in the world of big data. It is especially true in the world of big data. What Are Big Data T echnologies?

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Big Data Technology NoSQL Hadoop 98