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5 factors that lead to alert fatigue and how to prevent them with incident management best practices Last Friday afternoon, Pedram Navid, head of data at Dagster and overall data influencer , went to X to ask an important question. He asked: Ok — is anomaly detection in data actually that useful or is just a bunch of alerts you end up muting and not doing anything with?
I recently merged linear let- and where-bindings in GHC. Which means that we’ll have these in GHC 9.10, which is cause for celebration for me. Though they are much overdue, so maybe I should instead apologise to you. Anyway, I thought I’d take the opportunity to discuss some of GHC’s inner workings and how they explain some of the features of linear types in Haskell.
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
Even though I'm into streaming these days, I haven't really covered streaming in Delta Lake yet. I only slightly blogged about Change Data Feed but completely missed the fundamentals. Hopefully, this and next blog posts will change this!
Back to school ( credits ) Hello you. Back to the usual Data News—with a little delay, I'm sorry. First of all, I'd like to thank you for your positive comments on last week 's article. It's a subject close to my heart and I was very happy to share it with you, because I never thought that Data News would become such a big part of my life.
Back to school ( credits ) Hello you. Back to the usual Data News—with a little delay, I'm sorry. First of all, I'd like to thank you for your positive comments on last week 's article. It's a subject close to my heart and I was very happy to share it with you, because I never thought that Data News would become such a big part of my life.
Leading companies around the world rely on Informatica data management solutions to manage and integrate data across various platforms from virtually any data source and on any cloud. Now, Informatica customers in the Snowflake ecosystem have an even easier way to integrate data to and from the Snowflake Data Cloud. Informatica’s Enterprise Data Integrator, a Snowflake Native App currently in public preview, facilitates the high-speed replication of enterprise data into Snowflake and brings the
Data validation Data verification Purpose Check whether data falls within the acceptable range of values Check data to ensure it’s accurate and consistent Usually performed When data is created or updated When data is migrated or merged Example Checking whether user-entered ZIP code can be found Checking that all ZIP codes in dataset are in ZIP+4 format To a layperson, data verification and data validation may sound like the same thing.
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.
Cloudera DataFlow for the Public Cloud (CDF-PC) is a complete self-service streaming data capture and movement platform based on Apache NiFi. It allows developers to interactively design data flows in a drag and drop designer, which can be deployed as continuously running, auto-scaling flow deployments or event-driven serverless functions. CDF-PC comes with a monitoring dashboard out of the box for data flow health and performance monitoring.
In the final month of 2023, Snowflake released features around Snowflake Cortex functions, Snowpark ML, cost management and more. Read on to learn more about everything we announced in December. Snowpark Enhancements GPU-powered compute with Snowpark Container Services – public preview in select AWS regions Snowpark Container Services is a fully managed container offering that helps you deploy, manage and scale containerized code, whether it’s a large language model (LLM) or a full-stack a
This is part of our ongoing spotlight series which highlights ThougthSpot’s quarterly Selfless Excellence champion. At ThoughtSpot, Selfless Excellence is the heart of who we are as a company. It creates room for personal success – but never at the cost of others on the team. Simply put, this means we consider our teammates, customers, and society at large ahead of our own personal wins, and without the distraction of office politics.
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.
The sheer breadth of data that telecommunications providers collect day-to-day is a huge advantage for the industry. Yet, many providers have been slower to adapt to a data-driven, hyperconnected world even as their services — including streaming, mobile payments and applications such as video conferencing — have driven innovation in nearly every other industry.
This article has explored the impact of quantum computing on data science and AI. We will look at the fundamental concepts of quantum computing and the key terms that are used in the field. We will also cover the challenges that lie ahead for quantum computing and how they can be overcome.
Are you a ThoughtSpot enthusiast? Maybe you built a liveboard that saved your department hours each work week, or perhaps you figured out a unique way to gamify adoption across your team. You put in the hard work, now it’s time to show it off. ThoughtSpot User Groups were designed to help users connect—a place where you can share stories and get new ideas to empower your organization with data.
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
Well, I finally got around to it. What you say? Fine-tuning an LLM, that’s what. I mean all the cool kids are talking about and caring on like it’s the next thing. What can I say … I’m jaded. I’ve been working on ML systems for a good few years now, and I’ve seen the […] The post Engineering Lessons Learned from LLM Fine Tuning appeared first on Confessions of a Data Guy.
Advanced analytics help manufacturers extract insights from their data and improve operations and decision-making. But for manufacturers, it’s often challenging to perform analytics with ERP data. Because of the high rate of M&A activity in the industry, manufacturing enterprises often struggle with multiple ERP instances. A fragmented resource planning system causes data silos, making enterprise-wide visibility virtually impossible.
Learn the generic scenarios and techniques of grouping and aggregating data, partitioning and ranking data in SQL, which will be very helpful in reporting requirements.
"Data is the pollution problem of the information age, and protecting privacy is the environmental challenge" — Bruce Schneier. Ethical hacking is the heads-on solution for this challenge — a way to counter attacks from unwanted sources. It judges the security wall of a system and discovers and eliminates inconsistencies. Ethical hacking aims to prevent digital threats and vulnerabilities in the system and is a crucial online asset for security.
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
Author: Cathy Qian, Aayush Mudgal, Yinrui Li and Jinfeng Zhuang Image from [link] Introduction At Pinterest, our mission is to bring everyone the inspiration to create a life they love. People often come to Pinterest when they are considering what to do or buy next. Understanding this evolving user journey while balancing across multiple objectives is crucial to bring the best experience to Pinterest users and is supported by multiple recommendation models, with each providing real-time inferenc
Parquet vs ORC vs Avro vs Delta Lake Photo by Viktor Talashuk on Unsplash The big data world is full of various storage systems, heavily influenced by different file formats. These are key in nearly all data pipelines, allowing for efficient data storage and easier querying and information extraction. They are designed to handle the challenges of big data like size, speed, and structure.
One of the most commonly used terms in the IT sector is ethical hacking. The rising frequency of cyber-attacks has forced businesses and government agencies to tighten their defences against malicious hackers. In the current digital era, ethical hacking has become extremely important. Ethical hacking is an ideal career choice for folks who wish to break into the IT industry by being a Certified Ethical Hacker (CEH).
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!
This post was written in collaboration with Jason Labonte, Chief Executive Officer, Veritas Data Research In the realm of healthcare and life sciences.
My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. When I heard the words ‘decentralised data architecture’, I was left utterly confused at first! In my then limited experience as a Data Engineer, I had only come across centralised data architectures and they seemed to be working very well.
Looking to understand the universal semantic layer and how it can improve your data stack? This GigaOm Sonor report on Semantic Layers can help you delve deeper.
Data Science is an amalgamation of several disciplines, including computer science, statistics, and machine learning. As the world on the internet is becoming our second home, Big Data has exploded. Data Science is the study of this big data to derive a meaningful pattern. All the businesses are now looking to explore this gold mine of information to solve already existing problems.
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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