KDnuggets

NOVEMBER 12, 2024

In this tutorial, we’ll explore when and how SQL functionality can be integrated within the Pandas framework, as well as its limitations.

SQL 147

SQL Data Analysis Data IT 147

Simon Späti

NOVEMBER 12, 2024

From Fortune 500 companies processing trillions of security records to innovative startups building interactive data tools, DuckDB is revolutionizing how organizations handle analytical workloads. Building on our exploration of DuckDB’s core capabilities in Part 1 , this guide showcases production implementations and promising experimental applications across five key categories.

Architecture 130

Architecture Project Building Process 130

databricks

NOVEMBER 12, 2024

Monolithic to Modular The proof of concept (POC) of any new technology often starts with large, monolithic units that are difficult to characterize.

Systems 122

Systems Engineering Technology Data 122

Netflix Tech

NOVEMBER 12, 2024

By: Rajiv Shringi , Oleksii Tkachuk , Kartik Sathyanarayanan Introduction In our previous blog post, we introduced Netflix’s TimeSeries Abstraction , a distributed service designed to store and query large volumes of temporal event data with low millisecond latencies. Today, we’re excited to present the Distributed Counter Abstraction. This counting service, built on top of the TimeSeries Abstraction, enables distributed counting at scale while maintaining similar low latency performance.

Datasets 101

Datasets Computer Science Systems Kafka 101

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Whether you’re creating complex dashboards or fine-tuning large language models, your data must be extracted, transformed, and loaded. ETL and ELT pipelines form the foundation of any data product, and Airflow is the open-source data orchestrator specifically designed for moving and transforming data in ETL and ELT pipelines. This eBook covers: An overview of ETL vs.

Architecture

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. It’s the big blueprint we data engineers follow in order to transform raw data into valuable insights. Before building your own data architecture from scratch though, why not steal – er, learn from – what industry leaders have already figured out?

Architecture 96

Architecture Data Engineer Data Engineering Engineering 96

KDnuggets

NOVEMBER 12, 2024

The fastest and simplest route to becoming a software engineer with little cost.

Software Engineer 98

Software Engineer Software Engineering Engineering 98

databricks

NOVEMBER 12, 2024

The most recent wave of artificial intelligence (AI), spearheaded by the advent and mass adoption of large language models (LLM), showed the potential.

Data 89

Data 89

Snowflake

NOVEMBER 12, 2024

Getting different teams, business units and even companies to work together toward a common goal not only maximizes efficiency, but drives innovation. Effective collaboration on data and AI has never been more closely tied to success. At Snowflake, we’re removing the barriers that prevent productive cooperation while building the connections to make working together easier than ever.

AWS 74

AWS Cloud Programming Language High Quality Data 74

Cloudyard

NOVEMBER 12, 2024

Read Time: 2 Minute, 32 Second Triggered tasks in Snowflake offer a key advantage: they only execute when new data arrives, eliminating the need to run a warehouse or cloud service constantly and reducing associated costs. By leveraging Snowflake’s stream processing and trigger-based task scheduling , we ensure data is loaded and validated as soon as it arrives, allowing for near real-time processing.

Data Ingestion 52

Data Ingestion Cloud Process Building 52

Snowflake

NOVEMBER 12, 2024

Today we're thrilled to announce the general availability of Hybrid Tables in all AWS commercial regions (with a few exceptions ). As part of Snowflake Unistore , Hybrid Tables unify both transactional and analytical workloads on a single database to simplify architectures as well as governance and security. Since launching the public preview of Hybrid Tables this year, we have seen adoption across industries from customers such as Siemens , Panther, Mutual of Omaha, PowerSchool , MarketWise and

Food 75

Food Metadata Education AWS 75

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

Data

Confluent

NOVEMBER 12, 2024

Read our latest Confluent Champion post to learn how security engineering manager Tejal Adsul is honing her leadership skills at Confluent.

Engineering 52

Engineering Management 52

Picnic Engineering

NOVEMBER 12, 2024

Solving the most complex task of grocery shoppingmealplanning Were all familiar with grocery shopping. You venture into your nearby supermarket, walk down all the aisles and start filling your basket with the things you need (and sometimes dont need). But what you might not be aware of is that grocery shopping is a task which requires you to make a myriad of smaller decisions, ranging from easy to extremely difficult ones that leave you wandering aisles for much longer than youd ideally liketo.

Designing 40

Designing Utilities Engineering Process 40

Seattle Data Guy

NOVEMBER 12, 2024

A key responsibility for any data team is to understand the core metrics driving their business. Starting from the top, these metrics often include figures like gross revenue and expenses. However, these high-level metrics can feel too far removed and abstract from the actual business. Many companies, therefore, break down these top-line metrics into more… Read more The post How Data Teams Drive Business Success by Understanding Core Metrics appeared first on Seattle Data Guy.

Data 130

Data Data Science 130