Precisely

MARCH 3, 2025

Data and process automation used to be seen as luxury but those days are gone. Lets explore the top challenges to data and process automation adoption in more detail. Almost half of respondents (47%) reported a medium level of automation adoption, meaning they currently have a mix of automated and manual SAP processes.

Process 58

Process Government Data Finance 58

Engineering at Meta

JANUARY 21, 2025

Strobelight is also not a single profiler but an orchestrator of many different profilers (even ad-hoc ones) that runs on all production hosts at Meta, collecting detailed information about CPU usage, memory allocations, and other performance metrics from running processes. Event-based profilers for both native and non-native languages (e.g.,

Technology 116

Technology Metadata Utilities Engineering 116

Towards Data Science

FEBRUARY 18, 2024

How to Stream and Apply Real-Time Prediction Models on High-Throughput Time-Series Data Photo by JJ Ying on Unsplash Most of the stream processing libraries are not python friendly while the majority of machine learning and data mining libraries are python based. An event is generated by a producer (e.g. online dashboard).

Kafka 98

Kafka Python Process Google Cloud 98

Striim

MARCH 21, 2025

What is Real-Time Stream Processing? To access real-time data, organizations are turning to stream processing. To access real-time data, organizations are turning to stream processing. There are two main data processing paradigms: batch processing and stream processing.

Process 52

Process Data Warehouse Kafka Data Pipeline 52

Analytics Vidhya

JANUARY 30, 2023

Introduction Azure Functions is a serverless computing service provided by Azure that provides users a platform to write code without having to provision or manage infrastructure in response to a variety of events. Azure functions allow developers […] The post How to Develop Serverless Code Using Azure Functions?

Coding 245

Coding Database Management Process 245

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

Netflix Tech

MARCH 28, 2025

The impetus for constructing a foundational recommendation model is based on the paradigm shift in natural language processing (NLP) to large language models (LLMs). To harness this data effectively, we employ a process of interaction tokenization, ensuring meaningful events are identified and redundancies are minimized.

Metadata 85

Metadata Bytes Entertainment Data Mining 85

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

Snowflake

MARCH 19, 2025

These industry-specific virtual events are ideal for IT professionals and business leaders who want to bridge the gap between perception and reality, build robust data foundations and accelerate their AI initiatives. The events will also feature demos of key use cases and best practices. Why attend Accelerate Retail and Consumer Goods?

Retail 92

Retail Media Entertainment Unstructured Data 92

Snowflake

NOVEMBER 26, 2024

Processing some 90,000 tables per day, the team oversees the ingestion of more than 100 terabytes of data from upward of 8,500 events daily. With Snowpark, Nexon found processing speeds to be equally fast but more convenient and cost-effective since data never has to move off of Snowflake.

Data Warehouse 104

Data Warehouse Cloud PostgreSQL Hadoop 104

Netflix Tech

APRIL 8, 2025

FlowCollector , a backend service, collects flow logs from FlowExporter instances across the fleet, attributes the IP addresses, and sends these attributed flows to Netflixs Data Mesh for subsequent stream and batch processing. Additionally, event timestamps may be inaccurate depending on how they are captured.

AWS 75

AWS Kafka Cloud Programming 75

Snowflake

NOVEMBER 4, 2024

and Executive Chairman of LandingAI, Andrew Ng, has long been a leading proponent of AI agents and agentic workflows — the iterative processes of multiple AI agents collaborating to solve problems and ultimately carry out complex tasks automatically. Go in-depth on some of Snowflake’s most popular features, like Document AI.

Unstructured Data 105

Unstructured Data Python Machine Learning Data Pipeline 105

The Pragmatic Engineer

OCTOBER 31, 2023

” And an update inside the final hour and a half of the outage: “2:00 PM PDT Many AWS services are now fully recovered and marked Resolved on this event. Lambda is working to process these messages during the next few hours and during this time, we expect to see continued delays in the execution of asynchronous invocations.

AWS 290

AWS Google Cloud Cloud Engineering 290

The Pragmatic Engineer

MARCH 3, 2023

I asked Googlers the reason why these events have been canceled and one thing became clear: most of the program managers who worked on the coding competitions were recently let go in Google’s historic job cuts. In the beginning of February, Google announced the delays in the registration process.

Coding 218

Coding IT Software Engineer Software Engineering 218

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. Organize a “Glassdoor review event,” asking employees to leave honest reviews. 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

Snowflake

FEBRUARY 11, 2025

One of the major benefits of AI tools will be increased efficiency throughout the process of getting messages to consumers. This is where AI can really make a difference in optimizing the process and improving ROI for marketers. AI will clearly benefit advertisers by giving them more bang for their budget.

Entertainment 92

Entertainment Media Healthcare Technology 92

Engineering at Meta

JANUARY 22, 2025

This belief has led us to developing Privacy Aware Infrastructure (PAI) , which offers efficient and reliable first-class privacy constructs embedded in Meta infrastructure to address different privacy requirements, such as purpose limitation , which restricts the purposes for which data can be processed and used. Hack, C++, Python, etc.)

Data Warehouse 115

Data Warehouse SQL Programming Language Data 115

Edureka

APRIL 22, 2025

Enter Amazon EventBridge, a fully managed serverless event bus service that makes it easier to build event-driven applications using data from your AWS services, custom applications, or SaaS providers. It is a fully managed, serverless event bus service that allows applications to communicate with each other using events.

AWS 40

AWS Architecture Media Cloud 40

The Pragmatic Engineer

OCTOBER 17, 2024

Code and raw data repository:   Version control: GitHub Heavily using GitHub Actions for things like getting warehouse data from vendor APIs, starting cloud servers, running benchmarks, processing results, and cleaning up after tuns. Internal comms: Chat: Slack Coordination / project management: Linear 3.

Cloud 332

Cloud AWS Metadata Cloud Computing 332

Data Engineering Weekly

OCTOBER 27, 2024

Astasia Myers: The three components of the unstructured data stack LLMs and vector databases significantly improved the ability to process and understand unstructured data. The learning mostly involves understanding the data's nature, frequency of data processing, and awareness of the computing cost.

Data Engineering 57

Data Engineering Data Engineer Engineering Unstructured Data 57

Cloudera

DECEMBER 4, 2024

Ready Flows: Accelerate development with pre-built templates for common data integration and processing tasks, freeing up developers to focus on higher-value activities. Boosting Developer Productivity DataFlow 2.9 This reduces development time and enhances consistency. By simplifying development and promoting reusability, DataFlow 2.9

Data Pipeline 93

Data Pipeline Data Ingestion Data Preparation Architecture 93

Snowflake

JANUARY 30, 2025

Snowflake partner Accenture, for example, demonstrated how insurance claims professionals can leverage AI to process unstructured data including government IDs and reports to make document gathering, data validation, claims validation and claims letter generation more streamlined and efficient.

Unstructured Data 96

Unstructured Data Entertainment Healthcare Telecommunication 96

Snowflake

APRIL 9, 2025

KAWA Analytics Digital transformation is an admirable goal, but legacy systems and inefficient processes hold back many companies efforts. The app was pretrained using enormous quantities of security logs and is particularly focused on the pattern of events, including relative and absolute time.

Pharmaceutical 98

Pharmaceutical Manufacturing Data Ingestion SQL 98

Confluent

DECEMBER 23, 2024

Learn how data streaming platforms and event-driven architecture enable real-time, scalable AI solutions to power smarter, faster business decisions.

Architecture 78

Architecture Data Process 78

Data Engineering Podcast

DECEMBER 24, 2023

Summary Kafka has become a ubiquitous technology, offering a simple method for coordinating events and data across different systems. In the event of these different cluster errors, what are the strategies for mitigating and recovering from those failures? Operating it at scale, however, is notoriously challenging.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

The Pragmatic Engineer

NOVEMBER 21, 2023

Avoiding downtime was nerve-wracking, and the notion of a 'rollback' was as much a relief as a technical process.  After this zero-byte file was deployed to prod, the Apache web server processes slowly picked up the empty configuration file. Our deployments were initially manual. Apache started to log like a maniac.

Engineering 345

Engineering Bytes Cloud Computing AWS 345

Data Engineering Weekly

FEBRUARY 18, 2025

Fluss is a compelling new project in the realm of real-time data processing. Kafka is designed for streaming events, but Fluss is designed for streaming analytics. It excels in event-driven architectures and data pipelines. It works with streaming processing like Flink and Lakehouse formats like Iceberg and Paimon.

Kafka 73

Kafka Lambda Architecture SQL Architecture 73

The Pragmatic Engineer

JUNE 1, 2023

for the simulation engine Go on the backend PostgreSQL for the data layer React and TypeScript on the frontend Prometheus and Grafana for monitoring and observability And if you were wondering how all of this was built, Juraj documented his process in an incredible, 34-part blog series. You can read this here. Serving a web page.

Education 364

Education Project PostgreSQL Software Engineer 364

The Pragmatic Engineer

JULY 20, 2023

Venture funding is on a downward trend , and we seem to be at the start – or the middle – of a “startup purge” event. This news is hot off the press, publicly announced by Postman and by Akita yesterday, and you are among the early ones to hear about this event. On hiring Every startup hires differently.

Building 235

Building Programming Language Programming Python 235

Data Engineering Podcast

MAY 21, 2023

Proponents of the streaming paradigm argue that stream processing engines can easily handle batched workloads, but the reverse isn't true. Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools.

Data Lake 162

Data Lake Machine Learning Kafka Data Warehouse 162

Precisely

MARCH 18, 2025

There were many Gartner keynotes and analyst-led sessions that had titles like: Scale Data and Analytics on Your AI Journeys” What Everyone in D&A Needs to Know About (Generative) AI: The Foundations AI Governance: Design an Effective AI Governance Operating Model The advice offered during the event was relevant, valuable, and actionable.

Data Analytics 63

Data Analytics Data Governance Government Consulting 63

KDnuggets

DECEMBER 20, 2021

Many real-world datasets consist of records of events that occur at arbitrary and irregular intervals. These datasets then need to be processed into regular time series for further analysis. We will use the AI & Analytics Engine to illustrate how you can prepare your time-series data in just 1 step.

Engineering 157

Engineering Datasets Data Process 157

Zalando Engineering

NOVEMBER 8, 2023

Postgres Logical Replication at Zalando Builders at Zalando have access to a low-code solution that allows them to declare event streams that source from Postgres databases. At the time of writing, there are hundreds of these Postgres-sourced event streams out in the wild at Zalando. Simple, right?

PostgreSQL 139

PostgreSQL Java Database Bytes 139

Data Engineering Weekly

NOVEMBER 3, 2024

link] Event Alert: MLOps World/ Gen AI World - Austin, TX - Nov 7-8 The Gen AI Summit, consisting of a wider group of 20,000 Engineers, AI entrepreneurs, and Scientists, will host 1,000 AI teams in Austin, TX, November 7-8. Passes include app-brain-date networking, birds of a feature, post-event parties, etc.

Data Engineer 62

Data Engineer Data Engineering Engineering Pipeline-centric 62

Snowflake

JUNE 10, 2024

Discovering and surfacing telemetry traditionally can be a tedious and challenging process, especially when it comes to pinpointing specific issues for debugging. A default Event Table (public preview soon) is in the Snowflake database of every account, removing the need to create and manage your own custom event table.

Python 121

Python Java Hadoop Coding 121

databricks

FEBRUARY 24, 2025

Introduction Stateful stream processing refers to processing a continuous stream of events in real-time while maintaining state based on the events seen so far.

Process 120

Process 120

Data Engineering Podcast

MAY 28, 2023

Their SDKs make event streaming from any app or website easy, and their extensive library of integrations enable you to automatically send data to hundreds of downstream tools. When there is no internal data talent to assist with hiring, what are some of the problems that manifest in the hiring process?

Data Lake 162

Data Lake Machine Learning Data Warehouse Education 162