Waitingforcode

JANUARY 15, 2025

A few months ago I wrote a blog post about event skew and how dangerous it is for a stateful streaming job. Since it was a high-level explanation, I didn't cover Apache Spark Structured Streaming deeply at that moment. Now the watermark topic is back to my learning backlog and it's a good opportunity to return to the event skew topic and see the dangers it brings for Structured Streaming stateful jobs.

IT 130

IT 130

KDnuggets

JANUARY 14, 2025

Looking for extra income? Here are 7 creative ways to use large language models for passive earnings!

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Christophe Blefari

JANUARY 11, 2025

HNY 2025 ( credits ) Happy new year ✨ I wish you the best for 2025. There are multiple ways to start a new year, either with new projects, new ideas, new resolutions or by just keeping doing the same music. I hope you will enjoy 2025. The Data News are here to stay, the format might vary during the year, but here we are for another year. Thank you so much for your support through the years.

Data 130

Data Data Warehouse Coding Programming Language 130

Confessions of a Data Guy

JANUARY 10, 2025

Every once in a great while, the question comes up: “How do I test my Databricks codebase?” It’s a fair question, and if you’re new to testing your code, it can seem a little overwhelming on the surface. However, I assure you the opposite is the case. Testing your Databricks codebase is no different than […] The post Testing and Development for Databricks Environment and Code. appeared first on Confessions of a Data Guy.

Coding 114

Coding IT Data 114

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With over 30 million monthly downloads, Apache Airflow is the tool of choice for programmatically authoring, scheduling, and monitoring data pipelines. Airflow enables you to define workflows as Python code, allowing for dynamic and scalable pipelines suitable to any use case from ETL/ELT to running ML/AI operations in production. This introductory tutorial provides a crash course for writing and deploying your first Airflow pipeline.

Cloud

ArcGIS

JANUARY 14, 2025

Mix colors to build a theme for the new multidimensional Global Wind Atlas that's now available in ArcGIS Living Atlas.

Building 115

Building 115

databricks

JANUARY 10, 2025

SELECT 'Hello world!' COLLATE UNICODE, 'Zdravo svete!' COLLATE SR, ' , !' COLLATE EL, ', !' COLLATE RU, ', !' COLLATE ZH, 'Bonjour.

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90

KDnuggets

JANUARY 13, 2025

Ive been programming with Python for over 6 years now. But if I could start over, heres how Id go about learning Python in 2025.

Python 118

Python Programming 118

Confessions of a Data Guy

JANUARY 17, 2025

A Deep Dive into Databricks Labs’ DQX: The Data Quality Game Changer for PySpark DataFrames Recently, a LinkedIn announcement caught my eyeand honestly, it had me on the edge of my seat. Databricks Labs has unveiled DQX, a Python-based Data Quality framework explicitly designed for PySpark DataFrames. Finally, a Dedicated Data Quality Tool for PySpark […] The post PySpark Data Quality on Databricks with DQX. appeared first on Confessions of a Data Guy.

Python 100

Python Data Designing IT 100

ArcGIS

JANUARY 14, 2025

Learn how to use spatial components to help with various spatial statistics workflows.

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109

Snowflake

JANUARY 15, 2025

Over the last three geospatial-centric blog posts, weve covered the basics of what geospatial data is, how it works in the broader world of data and how it specifically works in Snowflake based on our native support for GEOGRAPHY , GEOMETRY and H3. Those articles are great for dipping your toe in, getting a feel for the water and maybe even wading into the shallow end of the pool.

Transportation 74

Transportation BI Database-centric Metadata 74

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

Engineering at Meta

JANUARY 16, 2025

Do types actually make developers more productive? Or is it just more typing on the keyboard? To answer that question were revisiting Diff Authoring Time (DAT) how Meta measures how long it takes to submit changes to a codebase. DAT is just one of the ways e measure developer productivity and this latest episode of the Meta Tech Podcast takes a look at two concrete use cases for DAT, including a type-safe mocking framework in Hack.

Engineering 101

Engineering IT 101

KDnuggets

JANUARY 10, 2025

This guide highlights the importance of container monitoring, key metrics to track, and tools ranging from Docker's built-in commands to comprehensive systems like Prometheus and Grafana.

Systems 109

Systems 109

Data Engineering Weekly

JANUARY 15, 2025

The Critical Role of AI Data Engineers in a Data-Driven World How does a chatbot seamlessly interpret your questions? How does a self-driving car understand a chaotic street scene? 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 63

Data Engineering Data Engineer Unstructured Data Engineering 63

ArcGIS

JANUARY 14, 2025

Master the Spatial Analyst Fill tool to eliminate sinks and extract better hydrologic information from your elevation data

Data 100

Data 100

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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

Cloud

Snowflake

JANUARY 15, 2025

Y Combinator founder Paul Graham advises startup founders to live in the future, then build whats missing. I had the privilege of glimpsing the future through a series of interviews with investors on the bleeding edge of the AI landscape. Insights from these candid conversations laid the foundation for Startup 2025: Building a Business in the Age of AI, the AI startup report that Snowflake is publishing today.

Programming 81

Programming Building Cloud Management 81

databricks

JANUARY 14, 2025

Electronic products are evolving at lightning speed, driven by an insatiable demand for new consumer devices, energy, transport, robotics, connectivity, data and beyond.

Electronics 72

Electronics Designing Transportation Manufacturing 72

KDnuggets

JANUARY 15, 2025

Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.

Python 107

Python Programming Language Programming Systems 107

ThoughtSpot

JANUARY 15, 2025

With the ever-growing focus on GenAI, many legacy BI tools have failed to invest in the analyst. By focusing solely on AI experiences for business teams, theyve alienated data teams, relegating analysts to disjointed tools and data silos. When in reality, businesses still need people who can help decision-makers assess messy data to diagnose and evaluate business problems.

BI 64

BI SQL Data Warehouse Datasets 64

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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

Business Intelligence

Confluent

JANUARY 14, 2025

PodPrep AI, an AI-powered research assistant, leverages EDA and real-time streaming data using Confluent and Flink, in order to help its author with podcast preparation.

Kafka 69

Kafka Building IT Data 69

Snowflake

JANUARY 16, 2025

Large language models (LLMs) are at the heart of generative AI transformations, driving solutions across industries from efficient customer support to simplified data analysis. Enterprises need performant, cost-effective and low-latency inference to scale their gen AI solutions. Yet, the complexity and computational demands of LLM inference present a challenge.

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Algorithm Data Analysis Building Process 70

ArcGIS

JANUARY 17, 2025

Use this dictionary renderer symbology to display clear and concise status information for locations of interest.

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62

KDnuggets

JANUARY 16, 2025

Want to become an NLP pro by 2025? Check out these top free courses and learn from experts whove shaped the future of language models.

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96

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Pinterest Engineering

JANUARY 13, 2025

Angel Vargas | Software Engineer, API Platform; Swati Kumar | Software Engineer, API Platform; Chris Bunting | Engineering Manager, APIPlatform The inside of the Pinterest lobby in Mexico City, showing a patterned ceiling, a receptionist deck with a plant on it, a light above it, and a gallery of images of pins youd find on Pinterest, behind it. To the left, a glowing Pinterest P sign hovers in front of a glasswall.

Management 67

Management Bytes Python Software Engineer 67

Cloudyard

JANUARY 15, 2025

Read Time: 2 Minute, 33 Second Snowflakes PARSE_DOCUMENT function revolutionizes how unstructured data, such as PDF files, is processed within the Snowflake ecosystem. Traditionally, this function is used within SQL to extract structured content from documents. However, Ive taken this a step further, leveraging Snowpark to extend its capabilities and build a complete data extraction process.

Data Cleanse 52

Data Cleanse Insurance Raw Data Unstructured Data 52

Monte Carlo

JANUARY 13, 2025

Twenty years ago, data was little more than fuel for forecasting. A few marketing insights here. A couple financial reports there. Today, data doesnt simply support your productsmore often than not, it is the product. In the age of AI, data isnt just another cost centerits a value creator. Data teams arent service providerstheyre essential technology partners.

Data 52

Data Datasets Government Machine Learning 52

ArcGIS

JANUARY 10, 2025

Address spatial confounding with Create Spatial Component Explanatory Variables in ArcGIS Pro 3.

Machine Learning 62

Machine Learning 62

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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

KDnuggets

JANUARY 14, 2025

What are essential commands for data analysis in SQL? This article will answer this question by mentioning 10 SQL commands. As a bonus, well add some other SQL commands that are not that common but will certainly add flexibility to your analyses.

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Data Analysis SQL Data 89

DareData

JANUARY 15, 2025

DareData will close 2024 with a 5% revenue growth compared to 2023. At first glance, given the rapid growth in our market, one might be tempted to classify this year as underwhelming. However, 2024 has been a transformative year for us. We started the year as a 100% consulting business. Consulting is highly dependent on people, and in small boutique firms like ours, this often means being heavily reliant on the partners.

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Consulting Finance Data Science Project 52

Towards Data Science

JANUARY 14, 2025

Learn how to create a simple, yet powerful REST API with FastAPI, DynamoDB, and AWS Lambda Functions.

AWS 57

AWS Python Building Data Science 57

Monte Carlo

JANUARY 14, 2025

When data engineers tell scary stories around a campfire, its usually a cautionary tale about the cost of poor data quality. Data downtime can occur suddenly at any timeand often not when or where youre looking for it. And its cost is the scariest part of all. But just how much can data downtime actually cost your business? In this article, well learn from a real-life data downtime horror story to understand the cost of bad data, its impacts, and how to prevent it.

Data 52

Data Data Engineering Data Engineer Media 52

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

Manufacturing