Knowledge Hut

NOVEMBER 20, 2023

But on the other side, TestSigma is a comprehensive AI-driven testing automation system that uses artificial intelligence to reduce the technical intricacy of test automation. Containerization solutions also aid distribution by ensuring uniformity between development, testing, operational, and staging systems.

Utilities 97

Utilities Programming Coding Designing 97

Towards Data Science

MARCH 5, 2024

The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google. BigQuery separates storage and compute with Google’s Jupiter network in-between to utilize 1 Petabit/sec of total bisection bandwidth.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

The Pragmatic Engineer

AUGUST 1, 2023

Amazon’s SDE3 definition is closer to what is considered a “team lead” or “tech lead” role at many companies, and so I view this SDE3 role as being at the upper end of a senior engineer definition. Address systemic issues. Reduce support costs by addressing systemic issues.

Software Engineering 246

Software Engineering Software Engineer Engineering Designing 246

Knowledge Hut

JANUARY 3, 2024

An operating system that allows multiple programmes to run simultaneously on a single processor machine is known as a multiprogramming operating system. Imagine that I/O is a part of the process that is currently running (which, by definition, does not need the CPU to be accomplished). context switching).

Systems 98

Systems Utilities Programming Language Programming 98

Precisely

JANUARY 9, 2025

The simple idea was, hey how can we get more value from the transactional data in our operational systems spanning finance, sales, customer relationship management, and other siloed functions. But those end users werent always clear on which data they should use for which reports, as the data definitions were often unclear or conflicting.

Data Integration 119

Data Integration Hadoop Data Warehouse Data Lake 119

Knowledge Hut

MAY 6, 2024

Applying systems thinking views a system as a set of interconnected and interdependent components defined by its limits and more than the sum of their parts (subsystems). When one component of a system is altered, the effects frequently spread across the entire system. are the main objectives of systems thinking.

Systems 98

Systems Transportation Certification Healthcare 98

Netflix Tech

DECEMBER 17, 2024

Analytics Engineers deliver these insights by establishing deep business and product partnerships; translating business challenges into solutions that unblock critical decisions; and designing, building, and maintaining end-to-end analytical systems. DJ acts as a central store where metric definitions can live and evolve.

Engineering 84

Engineering Entertainment Amazon Web Services Utilities 84

Knowledge Hut

JANUARY 2, 2024

You will learn how to build up Kube-state-metrics system, pull and collect metrics, deploy a Prometheus server and metrics exporters, configure alerts with Alertmanager, and create Grafana dashboards. Metric Endpoint: The systems you want Prometheus to monitor should disclose their metrics on an endpoint called /metrics.

Architecture 98

Architecture Metadata Utilities Data Collection 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

Netflix Tech

JANUARY 6, 2025

In this case, the main stakeholders are: - Title Launch Operators Role: Responsible for setting up the title and its metadata into our systems. In this context, were focused on developing systems that ensure successful title launches, build trust between content creators and our brand, and reduce engineering operational overhead.

Metadata 87

Metadata Algorithm Systems Building 87

Engineering at Meta

APRIL 28, 2025

Meta’s vast and diverse systems make it particularly challenging to comprehend its structure, meaning, and context at scale. We discovered that a flexible and incremental approach was necessary to onboard the wide variety of systems and languages used in building Metas products. We believe that privacy drives product innovation.

Metadata 64

Metadata Data Utilities Data Warehouse 64

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.

Systems 98

Systems Machine Learning Data Mining Algorithm 98

The Pragmatic Engineer

APRIL 19, 2023

ChatGPT can be an unexpectedly useful to break down jargon terms: just don't forget to verify its definition, as ChatGPT can make things up. I was sceptical that any system would automatically reject resumes, because I never saw this as a hiring manager. Otherwise, understand the jargon in simple terms, yourself.

Software Engineering 343

Software Engineering Software Engineer Engineering Media 343

Snowflake

APRIL 2, 2025

The data warehouse solved for performance and scale but, much like the databases that preceded it, relied on proprietary formats to build vertically integrated systems. Traditional databases excelled at structured data and transactional workloads but struggled with performance at scale as data volumes grew.

Data Lake 97

Data Lake Cloud Storage Metadata Data Warehouse 97

Data Engineering Podcast

FEBRUARY 18, 2024

To start, can you share your definition of what constitutes a "Data Lakehouse"? What are the pain points that are still prevalent in lakehouse architectures as compared to warehouse or vertically integrated systems? To start, can you share your definition of what constitutes a "Data Lakehouse"?

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Engineering at Meta

JUNE 19, 2024

We’re introducing parameter vulnerability factor (PVF) , a novel metric for understanding and measuring AI systems’ vulnerability against silent data corruptions (SDCs) in model parameters. But the growing complexity and diversity of AI hardware systems also brings an increased risk of hardware faults such as bit flips.

Systems 83

Systems Deep Learning Manufacturing Architecture 83

Data Engineering Weekly

JANUARY 15, 2025

The answer lies in unstructured data processing—a field that powers modern artificial intelligence (AI) systems. To address these challenges, AI Data Engineers have emerged as key players, designing scalable data workflows that fuel the next generation of AI systems. How does a self-driving car understand a chaotic street scene?

Data Engineer 63

Data Engineer Data Engineering Unstructured Data Engineering 63

The Pragmatic Engineer

OCTOBER 10, 2023

I wrote code for drivers on Windows, and started to put a basic observability system in place. EC2 had no observability system back then: people would spin up EC2 instances but have no idea whether or not they worked. With my team, we built the basics of what is now called AWS Systems Manager.

Software Engineer 327

Software Engineer Software Engineering Architecture Media 327

Snowflake

MARCH 12, 2025

For example, ticketing, merchandise, fantasy engagement and game viewership data often reside in separate systems (or with separate entities), making it a challenge to bring together a cohesive view of each fan. Technology implementation is "a part of," but not the definition of," its approach.

Media 80

Media Cloud Data Collection Programming 80

The Pragmatic Engineer

AUGUST 10, 2023

Ayhan visualized this data and observed a definite fall in all metrics: page views, visits, questions asked, votes. Q&A activity is definitely down: the company is aware of this metric taking a dive, and said they’re actively working to address it. Booking.com says a systems migration is the reason for the delay.

Retail 207

Retail Utilities Software Engineer Software Engineering 207

The Pragmatic Engineer

SEPTEMBER 26, 2023

CDE vendors: a definite trend With more than 20 players in this space, let’s begin with a timeline of when the products launched. It’s also possible to posit that the “spark” which ignited this confluence of factors was the Covid-19 pandemic of 2020-21, and the accompanying rise of remote work.

Cloud 316

Cloud Software Engineering Software Engineer Cloud Computing 316

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 Utilities Metadata 66

Engineering at Meta

FEBRUARY 4, 2025

Here we explore initial system designs we considered, an overview of the current architecture, and some important principles Meta takes into account in making data accessible and easy to understand. We also considered caching data logs in an online system capable of supporting a range of indexed per-user queries. What are data logs?

Accessibility 80

Accessibility Accessible Raw Data Data Warehouse 80

Netflix Tech

DECEMBER 19, 2024

Many of these projects are under constant development by dedicated teams with their own business goals and development best practices, such as the system that supports our content decision makers , or the system that ranks which language subtitles are most valuable for a specific piece ofcontent. cluster=sandbox, workflow.id=demo.branch_demox.EXP_01.training

Machine Learning 81

Machine Learning Project Data Warehouse Coding 81

Monte Carlo

APRIL 28, 2025

This basically means the tool updates itself by pulling in changes to data structures from your systems. Its definitely not feature-rich, but if you’re just starting out and want something fast and free, its way better than nothing. You dont want to dig through endless tabs or outdated spreadsheets. Its simple, but it works.

Metadata 52

Metadata Hadoop Data SQL 52

Precisely

OCTOBER 31, 2024

With data volumes skyrocketing, and complexities increasing in variety and platforms, traditional centralized data management systems often struggle to keep up. As data management grows increasingly complex, you need modern solutions that allow you to integrate and access your data seamlessly.

Data Architecture 69

Data Architecture Architecture Metadata Government 69

The Pragmatic Engineer

NOVEMBER 9, 2023

She asked the Director of Engineering if he could help take a known set of FAFSA application data and use it to artificially augment a much larger set of anonymous data tht her systems had collected over time. The engineering director’s next step?

Software Engineering 290

Software Engineering Software Engineer Engineering Coding 290

Data Engineering Podcast

DECEMBER 21, 2021

Summary One of the perennial challenges of data analytics is having a consistent set of definitions, along with a flexible and performant API endpoint for querying them. What is your overarching design philosophy for the API of the Cube system? What are some of the data modeling steps that are needed in the source systems?

Data Analytics 130

Data Analytics BI Computer Science SQL 130

Netflix Tech

APRIL 8, 2025

Delays and failures are inevitable in distributed systems, which may delay IP address change events from reaching FlowCollector. FlowCollector consumes a stream of IP address change events from Sonar and uses this information to attribute flow IP addresses in real-time.

AWS 75

AWS Kafka Cloud Programming 75

The Pragmatic Engineer

APRIL 13, 2023

” My take is that in the way Covid-19 was an unforeseen ‘black swan’ event, so was the boom in tech and in VC-funding in 2021, which was definitely impacted by the pandemic, thanks to businesses and consumers shifting to digital, as a result of the lockdowns making in-person activities difficult and non-practical.

Finance 235

Finance Media Software Engineer Software Engineering 235

Data Engineering Weekly

APRIL 20, 2025

[link] Alex Miller: Decomposing Transactional Systems I was re-reading Jack Vanlightly's excellent series on understanding the consistency model of various lakehouse formats when I stumbled upon the blog on decomposing transaction systems. Apache Hudi, for example, introduces an indexing technique to Lakehouse.

Data Engineer 68

Data Engineer Data Engineering Engineering Kafka 68

Netflix Tech

DECEMBER 3, 2022

Thanks to the Netflix internal lineage system (built by Girish Lingappa ) Dataflow migration can then help you identify downstream usage of the table in question. Workflow Definitions Below you can see a typical file structure of a sample workflow package written in SparkSQL. ??? backfill.sch.yaml ??? daily.sch.yaml ???

Data Pipeline 144

Data Pipeline Scala Metadata Food 144

Data Engineering Podcast

FEBRUARY 26, 2023

What are the technical systems that you are relying on to power the different data domains? What is your philosophy on enforcing uniformity in technical systems vs. relying on interface definitions as the unit of consistency? What are the technical systems that you are relying on to power the different data domains?

Building 147

Building Machine Learning Metadata Data Integration 147

Pinterest Engineering

MARCH 26, 2025

Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins. Unified Logging System: We implemented comprehensive engagement tracking that helps us understand how users interact with gift content differently from standardPins.

Building 59

Building Engineering Algorithm Systems 59

Tweag

NOVEMBER 1, 2023

The last important remaining piece to explore is the merge system. In this post, we’ll see how to use the Nickel merge system to write reusable configuration modules, and why the merge approach seems to be more adapted for modular configurations than plain functions, despite Nickel being a functional language.

Metadata 117

Metadata Programming Programming Language Coding 117

Data Engineering Podcast

MARCH 3, 2024

What are the skills and systems that need to be in place to effectively execute on an AI program? "AI" What are some of the useful clarifying/scoping questions to address when deciding the path to deployment for different definitions of "AI"? "AI" has grown to be an even more overloaded term than it already was.

Programming 162

Programming Data Lake High Quality Data Machine Learning 162

Monte Carlo

NOVEMBER 21, 2024

This approach is super cost-efficient because you’re not running your systems constantly. Sure, it might cost more to keep systems running 24/7, but when you need instant insights, nothing else will do. You’re basically running two systems in parallel – one for batch processing and one for streaming. The downside?

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52