How to Run Parallel Time Series Analysis with Dask
KDnuggets
JANUARY 30, 2025
In this article, we show you how to run parallel time series analysis with Dask, through a practical Python-based tutorial.
KDnuggets
JANUARY 30, 2025
In this article, we show you how to run parallel time series analysis with Dask, through a practical Python-based tutorial.
Towards Data Science
JANUARY 30, 2025
Building more efficient AI TLDR : Data-centric AI can create more efficient and accurate models. I experimented with data pruning on MNIST to classify handwritten digits. Best runs for furthest-from-centroid selection compared to full dataset. Image byauthor. What if I told you that using just 50% of your training data could achieve better results than using the fulldataset?
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KDnuggets
JANUARY 30, 2025
Learn how to perform paper summarization with BART.
Confessions of a Data Guy
JANUARY 30, 2025
When it comes to building modern Lake House architecture, we often get stuck in the past, doing the same old things time after time. We are human; we are lemmings; it’s just the trap we fall into. Usually, that pit we fall into is called Spark. Now, don’t get me wrong; I love Spark. We […] The post AWS Lambda + DuckDB + Polars + Daft + Rust appeared first on Confessions of a Data Guy.
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Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
RandomTrees
JANUARY 30, 2025
The energy and utility industry is being transformed by AI technology, and it is powered by the digital revolution. One of its newest forms, Generative AI, is bolstering utility operations reliability, efficiency, and resilience. Its place in modern utilities is most evident in real-time fault detection. The utilization of Generative AI for utilities is discussed in this article, alongside smart utilities with AI , real-time monitoring AI, and AI predictive maintenance.
Picnic Engineering
JANUARY 30, 2025
After introducing our Page Architecture initiative in this previous post , well now dive deeper into how we transformed the mobile appthe primary platform where millions of customers do their grocery shopping with Picnic. As an online-only supermarket, the app isnt just another sales channelits the core of all customer experience. This transformation isnt just about technical improvementsits about fundamentally changing how we deliver rich, dynamic user interfaces to customers.
Striim
JANUARY 30, 2025
During a crisiswhether its a pandemic, a natural disaster, or a major supply chain breakdownswift, informed decision-making can mean the difference between regaining control and facing further escalation. Todays organizations have access to more data than ever before, and consequently are faced with the challenge of determining how to transform this tremendous stream of real-time information into actionable insights.
Towards Data Science
JANUARY 30, 2025
Stop Creating Bad DAGsOptimize Your Airflow Environment By Improving Your PythonCode Valuable tips to reduce your DAGs parse time and save resources. Photo by Dan Roizer on Unsplash Apache Airflow is one of the most popular orchestration tools in the data field, powering workflows for companies worldwide. However, anyone who has already worked with Airflow in a production environment, especially in a complex one, knows that it can occasionally present some problems and weirdbugs.
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!
WeCloudData
JANUARY 30, 2025
TThe integration of Artificial Intelligence (AI) and Large Language Models (LLMs), into medical diagnosis healthcare is revolutionizing patient care. But how effective are these tools when it comes to diagnosing complex medical conditions? A recent study conducted by UVA Health, in collaboration with Stanford and Harvard, dives into the diagnostic potential of AI and offers […] The post How LLMs and AI Are Shaping Medical Diagnosis appeared first on WeCloudData.
Towards Data Science
JANUARY 30, 2025
How much data does AI reallyneed? TLDR : Data-centric AI can create more efficient and accurate models. I experimented with data pruning on MNIST to classify handwritten digits. Best runs for furthest-from-centroid selection compared to full dataset. Image byauthor. What if I told you that using just 50% of your training data could achieve better results than using the fulldataset?
Confluent
JANUARY 30, 2025
Read this Data in Motion Tour recap to get highlights and key insights from Singaporean business leaders leveraging data streaming in their organizations.
Towards Data Science
JANUARY 30, 2025
Stop Creating Bad DAGsOptimize Your Airflow Environment By Improving Your PythonCode Valuable tips to reduce your DAGs parse time and save resources. Photo by Dan Roizer on Unsplash Apache Airflow is one of the most popular orchestration tools in the data field, powering workflows for companies worldwide. However, anyone who has already worked with Airflow in a production environment, especially in a complex one, knows that it can occasionally present some problems and weirdbugs.
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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.
Precisely
JANUARY 30, 2025
Key Takeaways: Prioritize metadata maturity as the foundation for scalable, impactful data governance. Recognize that artificial intelligence is a data governance accelerator and a process that must be governed to monitor ethical considerations and risk. Integrate data governance and data quality practices to create a seamless user experience and build trust in your data.
Snowflake
JANUARY 30, 2025
Across all industries, generative AI is driving innovation and transforming how we work. Use cases range from getting immediate insights from unstructured data such as images, documents and videos, to automating routine tasks so you can focus on higher-value work. Gen AI makes this all easy and accessible because anyone in an enterprise can simply interact with data by using natural language.
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