Knowledge Hut

FEBRUARY 1, 2024

Movie Recommendation System Architecture The movie recommendation system architecture is a complex process that utilizes various algorithms to suggest movies to users based on their preferences. Contextual Features: Contextual information like user demographics, location, or viewing device can enhance the recommendation process.

Systems 98

Systems Entertainment Algorithm Datasets 98

LinkedIn Engineering

OCTOBER 19, 2023

Authors: Bingfeng Xia and Xinyu Liu Background At LinkedIn, Apache Beam plays a pivotal role in stream processing infrastructures that process over 4 trillion events daily through more than 3,000 pipelines across multiple production data centers.

Process 119

Process Lambda Architecture Kafka Machine Learning 119

Knowledge Hut

JANUARY 2, 2024

The central processing unit of the system, the Prometheus servers, performs similar functions to the brain. How to Install & Setup Prometheus Monitoring on Kubernetes Cluster Installing Prometheus on Kubernetes By utilizing YAML files to describe rights, configuration, and services, you can configure Prometheus' monitoring processes.

Architecture 98

Architecture Metadata Utilities Data Collection 98

dbt Developer Hub

APRIL 20, 2025

With the dbt MCP server, LLMs can understand and query these metrics directly, ensuring that AI-generated analyses are consistent with your organization's definitions. For AI agent workflows : Autonomously run dbt processes in response to events. For human stakeholders : Request metrics using natural language.

Structured Data 98

Structured Data SQL BI Project 98

Cloudera

NOVEMBER 13, 2024

In today’s heterogeneous data ecosystems, integrating and analyzing data from multiple sources presents several obstacles: data often exists in various formats, with inconsistencies in definitions, structures, and quality standards.

Metadata 90

Metadata Management Data Governance Government 90

Christophe Blefari

MARCH 1, 2023

In a nutshell the dbt journey starts with sources definition on which you will define models that will transform these sources to something else you'll need in your downstream usage of the data. You can read dbt's official definitions. The documentation, as I said earlier, is top of the notch.

Data Warehouse 278

Data Warehouse SQL Metadata Raw Data 278

Netflix Tech

JANUARY 10, 2024

Future blogs will provide deeper dives into each service, sharing insights and lessons learned from this process. The Netflix video processing pipeline went live with the launch of our streaming service in 2007. The Netflix video processing pipeline went live with the launch of our streaming service in 2007.

Process 96

Process Pipeline-centric Media Metadata 96

The Pragmatic Engineer

JUNE 22, 2023

The press release: “Squarespace announced today it has entered into a definitive asset purchase agreement with Google, whereby Squarespace will acquire the assets associated with the Google Domains business, which will be winding down following a transition period. ” So what’s being sold, exactly?

Google Cloud 304

Google Cloud Media Cloud Engineering 304

Engineering at Meta

APRIL 28, 2025

Specifically, we have adopted a “shift-left” approach, integrating data schematization and annotations early in the product development process. However, conducting these processes outside of developer workflows presented challenges in terms of accuracy and timeliness.

Metadata 79

Metadata Data Utilities Data Warehouse 79

Towards Data Science

APRIL 30, 2024

Balancing correctness, latency, and cost in unbounded data processing Image created by the author. Intro Google Dataflow is a fully managed data processing service that provides serverless unified stream and batch data processing. It is the first choice Google would recommend when dealing with a stream processing workload.

Google Cloud 92

Google Cloud Process Cloud Lambda Architecture 92

Precisely

JANUARY 30, 2025

Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Align people, processes, and technology Successful data governance requires a holistic approach. Tools are important, but they need to complement your strategy.

Data Governance 102

Data Governance Government Metadata Data 102

Tweag

JUNE 7, 2023

The availability of deep learning frameworks like PyTorch or JAX has revolutionized array processing, regardless of whether one is working on machine learning tasks or other numerical algorithms. However, writing high-performance array processing code in Haskell is still a non-trivial endeavor. But let’s give it a try anyway.

Process 114

Process Coding Python Deep Learning 114

Knowledge Hut

NOVEMBER 25, 2024

Scrum is a quality-driven process for producing excellent business outcomes. Even if you are not planning to take the PSPO test (for whatever reason), you should nonetheless follow the processes outlined in the PSPO study guide and the PSPO Scrum Certification Guide before continuing.

Certification 97

Certification Business Analyst Consulting Education 97

The Pragmatic Engineer

OCTOBER 31, 2023

We are still working on processing the backlog of asynchronous Lambda invocations that accumulated during the event, including invocations from other AWS services (such as SQS and EventBridge). As of 3:37 PM PDT, the backlog was fully processed. We are continuing to work to fully recover all services.

AWS 290

AWS Google Cloud Cloud Engineering 290

The Pragmatic Engineer

APRIL 19, 2023

For "jargon architects," this tends to happen because engineers assume that as they don't understand the jargon, they must also not understand the thought process, so do not challenge them. If someone is telling you jargon terms, ask them to explain simply, and challenge them if they cannot do so.

Software Engineer 343

Software Engineer Software Engineering Engineering Media 343

The Pragmatic Engineer

MAY 25, 2023

Glassdoor could make the process a lot clearer by publishing a moderation log which details when and why it removed a review. However, there’s a definite and ongoing uptick since the mid-2021. This log could contain only the redacted parts of affected reviews to ensure the terms of service are not broken.

Software Engineer 354

Software Engineer Software Engineering AWS Engineering 354

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. Unlike neatly organized rows and columns in spreadsheets, unstructured data—such as text, images, videos, and audio—requires advanced processing techniques to derive meaningful insights.

Data Engineering 62

Data Engineering Data Engineer Unstructured Data Engineering 62

Engineering at Meta

MAY 5, 2025

Type-checkers validate these annotations, helping prevent bugs and improving IDE functions like autocomplete and jump-to-definition. Improved performance: By allowing multiple threads to execute Python code simultaneously, work can be effectively distributed across multiple threads inside a single process.

Python 65

Python Coding Programming Project 65

Monte Carlo

NOVEMBER 26, 2024

Process > Tooling (Barr) 3. Process > Tooling (Barr) A new tool is only as good as the process that supports it. And if Twitter has taught us anything, Sam Altman definitely has a lot to say.) 2025 data engineering trends incoming. Table of Contents 1. We’re living in a world without reason (Tomasz) 2.

Data Engineering 105

Data Engineering Data Engineer Engineering Unstructured Data 105

Engineering at Meta

FEBRUARY 4, 2025

In this context, an individual data log entry is a formatted version of a single row of data from Hive that has been processed to make the underlying data transparent and easy to understand. Once the batch has been queued for processing, we copy the list of user IDs who have made requests in that batch into a new Hive table.

Accessibility 85

Accessibility Accessible Raw Data Data Warehouse 85

Waitingforcode

FEBRUARY 3, 2023

It's a great way to reduce the data volume to be processed in the job. Watch out the definition of your predicate because from time to time, even though the pushdown predicate is supported by the data source, the predicate can still be executed by the Apache Spark job! However, there is one important gotcha.

IT 130

IT Process Data 130

Seattle Data Guy

MARCH 14, 2023

Photo by Lukas As you increase your analytical processes and abilities, you’ll unavoidably increase costs. But there are definite ways to avoid having your costs grow at an unsustainable rate. … Read more The post How To Scale Your Data Team’s Impact Without Scaling Costs appeared first on Seattle Data Guy.

Data Science 130

Data Science Data Engineering Data Engineer Data 130

Netflix Tech

JANUARY 6, 2025

This process involves: Identifying Stakeholders: Determine who is impacted by the issue and whose input is crucial for a successful resolution. While this is a critical business need and we definitely should solve it, its essential to evaluate how it stacks up against other priorities across different areas of the organization.

Metadata 88

Metadata Algorithm Systems Building 88

Jesse Anderson

AUGUST 28, 2024

The biggest and most ideal use of LLMs for data teams, data processing, is only used by 12% of teams and behind an API endpoint for 14%. I think data teams aren’t using LLMs because they may think they don’t have human-generated data, the cost associated with LLMs, or the long response times when processing large amounts of data.

Consulting 147

Consulting Data Big Data Data Engineering 147

Netflix Tech

FEBRUARY 14, 2025

It requires a state-of-the-art system that can track and process these impressions while maintaining a detailed history of each profiles exposure. In this multi-part blog series, we take you behind the scenes of our system that processes billions of impressions daily.

Kafka 66

Kafka Datasets Metadata Utilities 66

Netflix Tech

DECEMBER 3, 2022

Obviously not all tools are made with the same use case in mind, so we are planning to add more code samples for other (than classical batch ETL) data processing purposes, e.g. Machine Learning model building and scoring. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ???

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Snowflake

NOVEMBER 20, 2023

The real benefits emerge when it’s time to distribute updates and new releases: H2O’s template-based approach makes a potentially complex process much easier. This integration represents a significant advancement in machine learning and data processing that allows H2O to provide efficient, scalable, and user-friendly solutions.

Utilities 121

Utilities Machine Learning Coding AWS 121

Precisely

OCTOBER 31, 2024

While data products may have different definitions in different organizations, in general it is seen as data entity that contains data and metadata that has been curated for a specific business purpose.

Data Architecture 68

Data Architecture Architecture Metadata Government 68

Christophe Blefari

JANUARY 20, 2024

Every company out there has his own definition for the data engineer role. What is data engineering As I said it before data engineering is still a young discipline with many different definitions. Reddit r/dataengineering wiki a place where some data eng definitions are written. Who are the data engineers? This is not.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Monte Carlo

NOVEMBER 21, 2024

They’re basically architectural blueprints for moving and processing your data. You have to choose the right pattern for the job: use a batch processing pattern and you might save money but sacrifice speed; opt for real-time streaming and you’ll get instant insights but might need a bigger budget. Data Mesh Pattern 8.

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

The Pragmatic Engineer

AUGUST 3, 2023

Now after 7 years, Google has announced it will retire Firebase Dynamic Links, but with no definite successor lined up. A timeline of more than 12 months is generous, and by the time Google announces the definite sunset timeline in Q3 of this year, they will likely have given around 18 months’ notice.

Metadata 189

Metadata Engineering Building Technology 189

Ascend.io

NOVEMBER 14, 2024

But when data processes fail to match the increased demand for insights, organizations face bottlenecks and missed opportunities. Set Up Auto-Scaling: Configure auto-scaling for your data processing and storage resources. The ability to harness and analyze data effectively can make or break a company’s competitive edge.

Data Pipeline 52

Data Pipeline Amazon Web Services Data Integration Data 52

KDnuggets

FEBRUARY 15, 2023

Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know • Python Function Arguments: A Definitive Guide • Making Intelligent Document Processing Smarter: Part 1 • Optimizing Python Code Performance: A Deep Dive into Python Profilers

Python 108

Python Coding Process 108

The Pragmatic Engineer

MARCH 3, 2023

In the beginning of February, Google announced the delays in the registration process. Back then, hosting a competition and enticing software engineers with prizes, while building up a reputation for the competition as challenging but fun, was definitely a smart tactic. That was the first sign of trouble for Hash Code.

Coding 218

Coding IT Software Engineer Software Engineering 218

Data Engineering Podcast

MARCH 10, 2024

How does the inclusion of Nessie in a data lake influence the overall workflow of developing/deploying/evolving processing flows? How does the inclusion of Nessie in a data lake influence the overall workflow of developing/deploying/evolving processing flows? Article: What is Lakehouse Management?:

Data Lake 147

Data Lake High Quality Data Architecture Machine Learning 147

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. It works with streaming processing like Flink and Lakehouse formats like Iceberg and Paimon. Fluss focuses on storing streaming data and does not offer streaming processing capabilities. It excels in event-driven architectures and data pipelines.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

Snowflake

NOVEMBER 11, 2024

With Document AI (generally available on AWS and Microsoft Azure), a fully managed Snowflake workflow that transforms unstructured documents into structured tables using a built-in LLM, Arctic-TILT , you can process documents intelligently and at scale.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105