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When you think of lineage, what typically comes to mind is one’s ancestry or pedigree. It’s a family tree that traces a path back past your parents, grandparents, and more, showing from whom you descended and how you’re related. SPOILER ALERT! Lineage traces origin in a “family tree”. The same can be said for data, too. Data lineage shows the history of the data you’re looking at today, detailing where it originated and how it may have changed over time.
DataKitchen's DataOps Engineers Priyanjna Sharma & Chip Bloche discuss what DataOps Engineering entails, key skills required & when to add one to your data team. The post A Day in the Life of a DataOps Engineer first appeared on DataKitchen.
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Dear Parents and Educators and Friends of Cloudera, If you are reading this blog, you know us at Cloudera as a group of self-described data geeks and data analysts. We believe data drives better decisions and moves businesses forward and for us, that’s exciting. We are innovating and helping Fortune 500 transform and grow because they can make better data-driven decisions at the accelerated pace we live and work in today.
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Managing data is a challenge. It’s not hard to collect data, but most companies collect data in disparate locations and across multiple applications that don’t talk to each other. With this model, multiple reports are required to crunch data from multiple sources. That requires manually entering data into yet another application to generate a final report.
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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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If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time. In a world where big data is becoming more popular and the use of predictive modeling is on the rise, there are steps […].
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
ArticleVideo Book This article was published as a part of the Data Science Blogathon Photo by fauxels from Pexels What is Exploratory Data Analysis? Exploratory. The post Exploratory Data Analysis and Visualization Techniques in Data Science appeared first on Analytics Vidhya.
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It has been an incredible run. I hope it is just “see you soon” rather than “goodbye.” With this column, DAMA International’s streak of quarterly columns since mid-2001 is coming to an end. The columns have featured the activities and incredible work of DAMA International over the past two decades. Thank you, DAMA, and I […].
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