ProjectPro

JUNE 6, 2025

Little did anyone know, that this research paper would change, how we perceive and process data. And so spawned from this research paper, the big data legend - Hadoop and its capabilities for processing enormous amount of data. Hadoop is like a data warehousing system so its needs a library like MapReduce to actually process the data.

Hadoop 45

Hadoop IT Big Data Portfolio 45

KDnuggets

JUNE 13, 2025

Large datasets would slow this process down, and building a report was manual and repetitive. It has been used as a take-home assignment in the recruitment process for the data science position at Walmart. The past of Data Analytics Data Analytics was not as easy or fast as it is today. Here, SQL stepped in. This was the new standard.

Data Science 120

Data Science Datasets SQL Python 120

KDnuggets

JUNE 11, 2025

One notable recent release is Yambda-5B , a 5-billion-event dataset contributed by Yandex, based on data from its music streaming service, now available via Hugging Face. Yambda comes in 3 sizes (50M, 500M, 5B) and includes baselines to underscore accessibility and usability. However, it lacks long-term history and explicit feedback.

Datasets 125

Datasets Metadata Machine Learning Data Science 125

KDnuggets

JUNE 10, 2025

By Josep Ferrer , KDnuggets AI Content Specialist on June 10, 2025 in Python Image by Author DuckDB is a fast, in-process analytical database designed for modern data analysis. DuckDB is a free, open-source, in-process OLAP database built for fast, local analytics. Let’s dive in! What Is DuckDB?

Python 111

Python SQL Data Science Machine Learning 111

KDnuggets

JUNE 9, 2025

Kill any existing Ollama processes pkill ollama # Clear GPU memory sudo fuser -v /dev/nvidia* # Restart Ollama service CUDA_VISIBLE_DEVICES="" ollama serve Once the model is running, you can interact with it via Open Web UI. Storage: Ensure you have at least 200GB of free disk space for the model and its dependencies.

Telecommunication 128

Telecommunication Machine Learning Data Science Python 128

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.

Data Warehouse 116

Data Warehouse SQL Programming Language Data 116

Tweag

NOVEMBER 20, 2024

If you take a look at htop , you’ll notice wasm32-wasi-ghc spawns a node child process. That’s the “external interpreter” process that runs our Template Haskell (TH) splice code as well as ghci bytecode. The Linux binaries are statically linked so they should work across a wide range of Linux distros. ghci > import Language.

Coding 138

Coding Programming Project Process 138

The Pragmatic Engineer

APRIL 21, 2024

Other shipped things include  DALL·E 3  (image generation,)  GPT-4  (an advanced model,) and the  OpenAI API  which developers and companies use to integrate AI into their processes. See a longer version of this article here: Scaling ChatGPT: Five Real-World Engineering Challenges. Tokenization.  We

Software Engineer 363

Software Engineer Software Engineering Engineering Programming 363

KDnuggets

JUNE 12, 2025

It will be used to extract the text from PDF files LangChain: A framework to build context-aware applications with language models (we’ll use it to process and chain document tasks). It will be used to process and organize the text properly. They’re super common, but working with them is not as easy as it looks.

Building 104

Building Metadata Raw Data Data Science 104

KDnuggets

JUNE 13, 2025

The company offers a comprehensive ecosystem that automates the entire development process, including building, testing, debugging, deploying, and monitoring applications. It can autonomously handle complex, multi-hour tasks, maintaining focus and delivering exceptional results over thousands of steps.

Telecommunication 122

Telecommunication Data Science Machine Learning Python 122

KDnuggets

JUNE 9, 2025

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 9, 2025 in Python Image by Author | Ideogram Have you ever spent several hours on repetitive tasks that leave you feeling bored and… unproductive? I totally get it. But you can automate most of this boring stuff with Python. Let’s get started.

Python 103

Python Project Media Data Science 103

Monte Carlo

NOVEMBER 12, 2024

A data engineering architecture is the structural framework that determines how data flows through an organization – from collection and storage to processing and analysis. And who better to learn from than the tech giants who process more data before breakfast than most companies see in a year?

Architecture 96

Architecture Data Engineering Data Engineer Engineering 96

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.  In this article, we cover thee out of nine topics from today’s subscriber-only issue: The Past and Future of Modern Backend Practices. To get full issues twice a week, subscribe here.

Engineering 334

Engineering Bytes Cloud Computing AWS 334

ProjectPro

JUNE 6, 2025

These frameworks simplify the process of humanizing machines with supremacy through accurate large-scale complex deep learning models. The reason for having computational graphs is to achieve parallelism and speed up the training process. ” and PyTorch in this paper "Automatic Differentiation in PyTorch." vs Tensorflow 2.x

Deep Learning 97

Deep Learning Machine Learning Programming Language Python 97

Netflix Tech

NOVEMBER 12, 2024

Introducing sufficient jitter to the flush process can further reduce contention. By creating multiple topic partitions and hashing the counter key to a specific partition, we ensure that the same set of counters are processed by the same set of consumers. This setup simplifies facilitating idempotency checks and resetting counts.

Datasets 104

Datasets Computer Science Systems Kafka 104

Snowflake

JUNE 10, 2025

Dynamic Tables updates Dynamic Tables provides a declarative processing framework for batch and streaming pipelines. This approach simplifies pipeline configuration, offering automatic orchestration and continuous, incremental data processing. This democratized approach helps ensure a strong and adaptable foundation.

Data Pipeline 92

Data Pipeline SQL Python Building 92

KDnuggets

JUNE 12, 2025

Understanding this process helps you diagnose training problems and tune hyperparameters effectively. I hope you find this helpful. Part 1: Statistics and Probability Statistics isnt optional in data science. Its essentially how you separate signal from noise and make claims you can defend. Probability comes next.

Data Science 104

Data Science Algorithm Machine Learning Datasets 104

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. Spare Cores attempts to make it easier to compare prices across cloud providers. Source: Spare Cores.

Cloud 330

Cloud Metadata AWS Cloud Computing 330

Snowflake

NOVEMBER 6, 2024

But getting a handle on all the emails, calls and support tickets had historically been a tedious and largely manual process. For years, companies have operated under the prevailing notion that AI is reserved only for the corporate giants — the ones with the resources to make it work for them.

Hospitality 97

Hospitality Medical Government Software Engineer 97

Simon Späti

MARCH 11, 2025

Therefore, you’ve probably come across terms like OLAP (Online Analytical Processing) systems, data warehouses, and, more recently, real-time analytical databases. Postgres is powerful, reliable, and flexible enough to handle both transactional and basic analytical workloads.

Database 130

Database Data Warehouse Data Engineering Data Engineer 130

ProjectPro

JUNE 6, 2025

Apache Kafka and RabbitMQ are messaging systems used in distributed computing to handle big data streams– read, write, processing, etc. Since protocol methods (messages) sent are not guaranteed to reach the peer or be successfully processed by it, both publishers and consumers need a mechanism for delivery and processing confirmation.

Kafka 72

Kafka Java Big Data Architecture 72

The Pragmatic Engineer

MAY 25, 2023

In this issue, we cover one out of six topics from today’s subscriber-only The Scoop issue. To get full articles twice a week, subscribe here. I got a message from a software engineer working at a company which laid off 30% of staff in December 2022. Also, there is business sense in doing this for reputational reasons.

Software Engineer 352

Software Engineer Software Engineering AWS Engineering 352

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. Incremental progress.

Education 364

Education Project PostgreSQL Software Engineering 364

KDnuggets

JUNE 11, 2025

In this article, we’ll break down RAG. Starting with the academic article that introduced it and how it’s now used to cut costs when working with large language models (LLMs). But first, let’s cover the basics. What is Retrieval-Augmented Generation (RAG)? Patrick Lewis first introduced RAG in this academic article first in 2020. It cost 123 tokens.

Data Science 97

Data Science Machine Learning Python SQL 97

KDnuggets

JUNE 6, 2025

Error Aggregation for Batch Processing When processing multiple items (e.g., in a loop), you might want to continue processing even if some items fail, then report all errors at the end. Example: Processing a list of user records. Master these 5 Python patterns that handle failures like a pro! I believe not.

Python 93

Python Data Science Machine Learning Database 93

Snowflake

MARCH 31, 2025

For image data, running distributed PyTorch on Snowflake ML also with standard settings resulted in over 10x faster processing for a 50,000-image dataset when compared to the same managed Spark solution. Snowflake has continuously focused on making it easier and faster for customers to bring advanced models into production.

Healthcare 96

Healthcare Medical Government Electronics 96

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. We’re living in a world without reason (Tomasz) 2. AI is driving ROI—but not revenue (Tomasz) 4. AI adoption is slower than expected—but leaders are biding their time (Tomasz) 6.

Data Engineering 105

Data Engineering Data Engineer Engineering Unstructured Data 105

Christophe Blefari

JANUARY 11, 2025

Some personal news: I will be in Amsterdam for the DuckCon on Jan 31, I'll give a 5 minutes talk about yato , if you're also going or living there, reach out so we can chat! We announced the AI Product Day , a 1-day conference that will take place in Paris on March 31. We are looking for sponsors and the ticketing is open.

Data 130

Data Data Warehouse Programming Language Coding 130

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. 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. million in cost savings annually.

Data Warehouse 105

Data Warehouse Cloud PostgreSQL Data Lake 105

Jesse Anderson

FEBRUARY 11, 2025

Discover the insights he gained from academia and industry, his perspective on the future of data processing and the story behind building a next-generation graph database. Semih explains how Kuzu addresses the challenges of large graph analytics, the benefits of embeddability, and its potential for applications in AI and beyond.

Computer Science 130

Computer Science Database Design Software Engineering Software Engineer 130

Snowflake

JANUARY 6, 2025

It has inspired original equipment manufacturers (OEMs) to innovate their systems, designs and development processes, using data to achieve unprecedented levels of automation. Enabling OEMs to scale data storage and processing capabilities, cloud computing also facilitates collaboration across teams globally.

Manufacturing 95

Manufacturing Cloud Computing Data Storage Technology 95