Towards Data Science

MARCH 15, 2023

Systematically resolve data issues in production Continue reading on Towards Data Science »

Data Engineering 98

Data Engineering Data Engineer Building Engineering 98

The Pragmatic Engineer

MARCH 16, 2023

Comments

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333

Analytics Vidhya

MARCH 14, 2023

Introduction In today’s world, technology has increased tremendously, and many people are using the internet. This results in the generation of so much data daily. This generated data is stored in the database and will maintain it. SQL is a structured query language used to read and write these databases. In simple words, SQL is used […] The post Top 5 SQL Interview Questions With Implementation appeared first on Analytics Vidhya.

SQL 204

SQL Database Technology Data 204

KDnuggets

MARCH 17, 2023

These curated papers would step up your machine-learning knowledge.

Machine Learning 160

Machine Learning 160

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In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate

Data Pipeline

Tweag

MARCH 13, 2023

It is a truth universally acknowledged that the Python packaging ecosystem is in need of a good dependency checker. In the least, it’s our hope to convince you that Tweag’s new dependency checker, FawltyDeps, can help you maintain an environment that is minimal and reproducible for your Python project, by ensuring that required dependencies are explicitly declared and detecting unused dependencies.

Python 145

Python Coding Project Systems 145

The Pragmatic Engineer

MARCH 13, 2023

It’s been a wild weekend, starting Friday. In case you somehow missed it: we went through the fastest bank run in history, in an event that impacted about half of all VC-funded startups in the US and UK. On Friday night, Silicon Valley Bank (SVB) was shut down by regulators, triggering a weekend of fear and uncertainty for many people and businesses with questions like: “can we make payroll next week?

Banking 243

Banking Insurance Portfolio Media 243

KDnuggets

MARCH 15, 2023

A new model by OpenAI with improved natural language generation and understanding capabilities.

Process 160

Process 160

Snowflake

MARCH 16, 2023

ServiceNow, Inc. offers a well-known SaaS application, with companies in multiple industries using it to help manage digital workloads for a variety of departments and operations. What if it was as easy as just a few clicks to get ServiceNow data directly into your Snowflake account so you could combine it with other data sources, including ERPs, HRs, and CRMs?

Hospitality 136

Hospitality BI Finance Government 136

Waitingforcode

MARCH 17, 2023

If you need to go back in time and analyze your past Apache Spark applications, you can use the native Apache Spark History server. However, it can also be an infrastructure problem because of the continuously increasing historical logs for streaming applications. In this blog post we'll try to understand this component and to see different configuration options.

IT 130

IT 130

Christophe Blefari

MARCH 17, 2023

Took a few days with the ☀️ ( credits ) Hey you, I hope you had a great week. On my side I'm slowly starting to get on top of the things I had in queue. But, sadly, I work in LIFO so I feel that I'm never done. For people that are not use to it it means last in, first out. Which means that I get easily disturbed by a notification—or even a thought—and do something that I did not plan to do at first.

Data 130

Data SQL Deep Learning Kafka 130

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Data

KDnuggets

MARCH 13, 2023

Use these tools to Access API, Manipulate CSV files, download datasets, and more from your terminal.

Data Science 157

Data Science Datasets Accessibility Accessible 157

Seattle Data Guy

MARCH 14, 2023

Photo by Lukas As you increase your analytical processes and abilities, you’ll unavoidably increase costs. But there are definite ways to avoid having your costs grow at an unsustainable rate. This is the topic of a panel at the Modern Data Stack Conference featuring Maura Church, ex-director of data science and data engineering from Patreon.… Read more The post How To Scale Your Data Team’s Impact Without Scaling Costs appeared first on Seattle Data Guy.

Data Science 130

Data Science Data Engineer Data Engineering Data 130

Confessions of a Data Guy

MARCH 11, 2023

The post 5 git Commands your Grandma uses. appeared first on Confessions of a Data Guy.

Data 130

Data 130

Christophe Blefari

MARCH 11, 2023

Sorting all the eggs of the landscape ( credits ) Dear readers, this week Data News lands on Saturday and will be a little bit different than usual because I found less relevant article and as promised last week I wanted to speak about the MAD Landscape. I hope you will enjoy this topic focus edition where I speak about economics even if I'm a newbie about economy.

Banking 130

Banking Data Machine Learning Insurance 130

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

Systems

KDnuggets

MARCH 17, 2023

In this comprehensive article, we have demonstrated that a seemingly simple task of multi-label text classification can be challenging when traditional methods are applied. We have proposed the use of distribution-balancing loss functions to tackle the issue of class imbalance.

Process 136

Process 136

Netflix Tech

MARCH 14, 2023

By Guru Tahasildar , Amir Ziai , Jonathan Solórzano-Hamilton , Kelli Griggs , Vi Iyengar Introduction Netflix leverages machine learning to create the best media for our members. Earlier we shared the details of one of these algorithms , introduced how our platform team is evolving the media-specific machine learning ecosystem , and discussed how data from these algorithms gets stored in our annotation service.

Media 120

Media Building Algorithm Machine Learning 120

databricks

MARCH 16, 2023

The demand for data, analytics, and AI talent continues to grow as organizations in every industry adopt new technologies to become more efficient.

Data Analytics 111

Data Analytics Technology Data 111

ArcGIS

MARCH 13, 2023

Create indices measuring risk, equity, vulnerability, and more, using the new Calculate Composite Index tool.

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Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

Manufacturing

KDnuggets

MARCH 15, 2023

While AI has certainly several positive uses to offer the world, it’s also displaying harm when it comes to academics, cybersecurity, the environment, jobs, and privacy.

IT 132

IT 132

Uber Engineering

MARCH 16, 2023

Uber’s Global Data Warehouse team leveraged Apache Hudi to drastically improve performance of traditional batch ETL pipelines by going incremental, improving business-critical data’s freshness, quality, and completeness.

Data Lake 98

Data Lake Data Warehouse Data 98

databricks

MARCH 17, 2023

Disaster recovery is a standard requirement for many production systems, especially in the regulated industries. As many companies rely on data to make.

Systems 98

Systems Data 98

Towards Data Science

MARCH 15, 2023

MLOps and Data Engineering Continue reading on Towards Data Science »

Coding 98

Coding Data Science Data Engineer Data Engineering 98

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With Airflow being the open-source standard for workflow orchestration, knowing how to write Airflow DAGs has become an essential skill for every data engineer. This eBook provides a comprehensive overview of DAG writing features with plenty of example code. You’ll learn how to: Understand the building blocks DAGs, combine them in complex pipelines, and schedule your DAG to run exactly when you want it to Write DAGs that adapt to your data at runtime and set up alerts and notifications Scale you

Data Engineering

KDnuggets

MARCH 16, 2023

Learn about NoSQL Databases and their types like key-value, document, graph and column family with their use cases.

NoSQL 126

NoSQL Database SQL 126

ArcGIS

MARCH 14, 2023

Learn more about the just released ArcGIS Reality Studio application and ArcGIS Reality for ArcGIS Pro extension.

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98

databricks

MARCH 15, 2023

One of the biggest challenges in understanding patient health status and disease progression is unlocking insights from the vast amounts of semi-structured and.

Healthcare 98

Healthcare Process Building Data Engineering 98

Towards Data Science

MARCH 17, 2023

Take advantage of the distributive power of Apache Spark and concurrently train thousands of auto-regressive time-series models on big data Photo by Ricardo Gomez Angel on Unsplash 1. Intro Suppose you have a large dataset consisting of your customers’ hourly transactions, and you were tasked with helping your company forecast and identify anomalies in their transaction patterns.

Datasets 98

Datasets Scala Machine Learning SQL 98

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

KDnuggets

MARCH 16, 2023

OpenChatKit enables developers to fine-tune the model, maintain context in dialog, moderate responses, and effortlessly build their own custom chatbot applications.

Building 116

Building Process 116

ArcGIS

MARCH 13, 2023

Learn more about exciting new functionality and improvements made to ArcGIS Utility Network with ArcGIS Pro 3.

Utilities 98

Utilities Data Management Management Data 98

databricks

MARCH 14, 2023

The world operates in real-time The ability to make real-time decisions in today's fast paced world is more critical than ever before. Today's.

Data 98

Data 98

U-Next

MARCH 13, 2023

Introduction – Adaptation and Evolution of AI in Management Several businesses use Machine Learning and Artificial Intelligence in management. The most significant AI tools are based on a vast amount of data, recognizing patterns, learning from them, and making definitive predictions. AI is becoming popular in project management because of its exceptional capacity to track particular trends and predict project situations and results.

Management 98

Management Machine Learning Utilities Project 98

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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