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24 months in, one thing is obvious: this was never just a fight over open table formats. It’s about who controls the metadata, the catalog, and the center of gravity for where your data gets computed. By summer 2024, three communities had spent 6–8 years building the open lakehouse. We were finally on the doorstep of real interoperability. With Apache XTable (incubating), major vendors—Google, Microsoft, and others—lined up to build open bridges across formats. Maybe for the first time ever. Except one vendor didn’t. Databricks chose to buy and merge 2 of the 3 projects—framing it as “unification,” but effectively bending Iceberg toward Delta Lake to regain control. It’s disappointing how far we still are from the promised land, even after 24 months. Through it all, we’ve stayed open, collaborative, and patient. Onehouse supports all formats equally, as we set out to do from day one. Apache Hudi supports Iceberg as a pluggable table format. The future isn’t just open formats. It’s an open lakehouse stack. We’re building it in Apache Hudi—and doubling down on interoperability through the Apache XTable project.
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Replying to @rabinote1
(●´σ‥`)ホジホジ ・ Chompy ・Xtable も、買取強化中(´-ω-)ウム🍵ིྀ
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Replying to @northwoods1980
As a former radiologic technologist, an axillary view is easy to obtain. I’ve personally have helped position patients where either the ER doc or RT were reticent bc of injury. It’s part of trauma shoulder series for a reason. Analogous to the Xtable Lateral for suspected hip fx’s. Why, just why, make it harder than it is??
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Everyone thinks data infra is dominated by giants. 🏗️ But breakthroughs come from small teams OSS—like our Apache Hudi shaping lakehouses. 🔍 At Onehouse, we're building the next ones. 🚀 Hiring engineers to lead. Dive into: ⚙️ Quanton (compute-data rethink) 📊 LakeBase (lakehouse evolution) 🔄 Hudi (open formats edge) 🛠️ XTable (interop AI governance) 🔮 Secret projects redefining data If you obsess over DBs, perf, formats; debate LSM vs B-Tree; fix Spark in your head... Join us: 👉 jobs.lever.co/Onehouse/ec466… #DataEngineering #ApacheHudi #Lakehouse
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Τελευταίο xTable της κανονικής διάρκειας. Όπως σχεδόν από την αρχή, η Ομόνοια μόνη πρώτη. ΑΠΟΕΛ και Άρης θα μπορούσαν να βρίσκονται πιο κοντά στις υπόλοιπες 3.
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写真外だと「アーティストバッグ(UberNewYork純正)」全色とかあります。 ・幻の2型(縦に開くヤツ)UberEatsバッグ ・Xtableバッグ ・Honestbee初期型バッグ(写真のと違うモデル) を譲っても好いという、奇特な方がいらっしゃいましたら、DMでご連絡ください。 (´-ω-)ウム🍵ིྀ
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xTable μετά και την 23η αγωνιστική. Δεν άλλαξαν και πολλά μετά το τελευταίο μας update για το πρωτάθλημα 5 ταχυτήτων. Απόλλωνας συνεχίζει την ανοδική του πορεία αλλά δεν έχει συνολικά μέσα στη χρονιά καμιά ουσιαστική διαφορά από Άρη, ΑΠΟΕΛ, και ΑΕΚ.
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Replying to @kanpo_blog
honestbee、Xtable、、、
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Delta UniFormやApache XTableあたりの相互運用性について深掘りするかー
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「Engineering Lakehouses with Open Table Formats」読了 Iceberg、Hudi、Delta Lakeといった各OTFの概要や特徴がコンパクトにまとまっており非常に読みやすい一冊 概要レベルではあるが、Delta UniFormやApache XTableのユースケースや制約にまで触れているのが印象的だった learning.oreilly.com/library…
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Presenting your statistical models in a clear and professional manner is as crucial as the analysis itself. Here's a simple method to make this process very easy! LaTeX, a high-quality typesetting system, is often the go-to for academic and scientific documentation due to its ability to handle complex tables and mathematical expressions with elegance. When it comes to sharing the results of a regression model, seamlessly integrating these results into a LaTeX document can elevate your work's clarity and impact. This is where R and the xtable package come into play, providing a straightforward pathway to bridge your analysis with LaTeX's typesetting capabilities. Here’s how: # Load xtable library(xtable) # Load example data data(mtcars) # Linear regression my_mod <- lm(mpg ~ wt qsec, mtcars) # Summary statistics summary(my_mod) # Create LaTeX table print(xtable(summary(my_mod)), type = "latex") This code snippet accomplishes a few key tasks: 📊 Data Analysis: Utilizes the mtcars data set to perform a linear regression, examining how the variables wt (weight) and qsec (quarter-mile time) predict mpg (miles per gallon). 🔍 Statistical Summary: Provides a comprehensive summary of the regression model, offering insights into the relationships between variables. 📝 LaTeX Integration: Converts the model summary into a LaTeX-friendly table using xtable, making it ready for inclusion in any document or publication. This step is crucial for researchers and analysts who need to present their findings in a standardized and visually appealing format. By leveraging xtable with R's analytical power, you can efficiently prepare your regression analysis results for high-quality documentation, enhancing readability and professionalism in your presentations or publications. Interested in deepening your understanding of topics like this? Subscribe to my free newsletter for regular insights on statistics, data science, and programming. Learn more: statisticsglobe.com/newslett… #Python #pythonlearning #DataScientist #RStats #DataAnalytics
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me, an idiot, putting my data in a warehouse where i can query it immediately you, a genius, building your hive metastore data into an s3 cloud backed by apache hooli with xtable access to manifest files that operate on 2 clouds with apache floozy on titanic iceberg lettuce ass
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'PostgreSQL Management Tools for HarmonyOS PC Recommended XTable is a PostgreSQL management client for HarmonyOS PC. Friends in need can download and experience it.' #PostgreSQL #Enterprise #PC #HarmonyOS #Client #ThirdParty
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xTable GW19 Η Ομόνοια σταθερά μόνη πρώτη, πήρε τους βαθμούς που έπρεπε, αλλά μπορεί να νιώθει αδικημένη αφού αυτοί που την κυνηγούν θα έπρεπε να έχουν λιγότερους βαθμούς.
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xG shaggers have been saying this about Villa since Emery joined. Guess what, it hasn't. xG is a poor metric (the xPoints xTable last season was 75% wrong). Football is played on grass, go xTouch some.
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xTable μετά το τέλος της 11ης αγωνιστικής Η ιστορία παραμένει σχεδόν ίδια: η Ομόνοια έπεσε από την κορυφή της κανονικής βαθμολογίας, αλλά βάσει expected points θα έπρεπε να βρίσκεται μόνη πρώτη.
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xTable GW 10 H Ομόνοια συνεχίζει να οδηγεί την κούρσα, και δικαιολογημένα θα μπορεί να νιώθει αδικημένη, όχι από τα δικά της αποτελέσματα, αλλά διότι Άρης, Πάφος, ΑΠΟΕΛ, και ΑΕΚ είναι πολύ πιο κοντά της από όσο θα έπρεπε.
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新しい記事を書いたよ Apache XTableを使ったAWS上でのOpen Table Format相互運用(Delta→Iceberg)|ぺんぎん zenn.dev/penginpenguin/artic… #zenn
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xTable - GW6 Things are getting interesting
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Presenting your statistical models in a clear and professional manner is as crucial as the analysis itself. Here's a simple method to make this process very easy! LaTeX, a high-quality typesetting system, is often the go-to for academic and scientific documentation due to its ability to handle complex tables and mathematical expressions with elegance. When it comes to sharing the results of a regression model, seamlessly integrating these results into a LaTeX document can elevate your work's clarity and impact. This is where R and the xtable package come into play, providing a straightforward pathway to bridge your analysis with LaTeX's typesetting capabilities. Here’s how: # Load xtable library(xtable) # Load example data data(mtcars) # Linear regression my_mod <- lm(mpg ~ wt qsec, mtcars) # Summary statistics summary(my_mod) # Create LaTeX table print(xtable(summary(my_mod)), type = "latex") This code snippet accomplishes a few key tasks: 📊 Data Analysis: Utilizes the mtcars data set to perform a linear regression, examining how the variables wt (weight) and qsec (quarter-mile time) predict mpg (miles per gallon). 🔍 Statistical Summary: Provides a comprehensive summary of the regression model, offering insights into the relationships between variables. 📝 LaTeX Integration: Converts the model summary into a LaTeX-friendly table using xtable, making it ready for inclusion in any document or publication. This step is crucial for researchers and analysts who need to present their findings in a standardized and visually appealing format. By leveraging xtable with R's analytical power, you can efficiently prepare your regression analysis results for high-quality documentation, enhancing readability and professionalism in your presentations or publications. Interested in deepening your understanding of topics like this? Subscribe to my free newsletter for regular insights on statistics, data science, and programming. Learn more: eepurl.com/gH6myT #RStats #datasciencetraining #database #RStudio #Rpackage #Data #programming
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