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Databricks provides a data and AI platform built around Apache Spark and lakehouse storage.

Déglul tegtal biiIA-nettali · ~2 min

Ci xët wii2 simili jàng
  1. Résumé
  2. Plongeur bu xóot
  3. Doxal ci àdduna dëgg
  4. Ëlëgu Databricks
  5. Teg ko ci jëf
  6. Weyal di banneexu
  7. Laaj yi ñuy faral di laaj

Résumé

Delta Lake adds a transaction log and ACID transactions to tables, MLflow supports experiment tracking, and Unity Catalog governs data and AI assets; capabilities depend on the deployed product and configuration.

Plongeur bu xóot

Databricks was founded in 2013 by creators of Apache Spark and related open-source projects. Its lakehouse platform uses Delta Lake as an optimized storage layer with a transaction log and ACID transactions. MLflow Tracking records parameters, metrics, code versions, and artifacts for experiments. Unity Catalog provides governance controls for data and AI assets, including tables, models, functions, and services. Databricks completed its acquisition of MosaicML in 2023 and announced DBRX in 2024. These product and company milestones do not imply that any particular workload will be faster or cheaper; deployments depend on configuration and measurement. Databricks describes the lakehouse as combining the flexibility and cost characteristics of data lakes with data-warehouse management and performance goals. Those goals are not guaranteed results for every workload.

Doxal ci àdduna dëgg

Track model parameters, metrics, and artifacts with MLflow runs.

Use Delta Lake transaction history to inspect or query an earlier table version.

Apply Unity Catalog permissions and lineage to tables and registered AI assets.

Compare the DBRX announcement and MosaicML acquisition as separate company events.

Ëlëgu Databricks

Databricks’ products and model catalog change over time. Check current documentation for runtime compatibility, model availability, governance behavior, and licensing before selecting a service.

Teg ko ci jëf

Lu tax mu am solo

  • Pexem jaaykat. Kartu yoonu jaaykat yi ñooy wane man-man yi sa ekip mëna tabax ci kanam.
  • Njëgg ak budget. Anamu jënd ak jaay ak tànneefi dugal dañu am njeexital ci njëg ak risk ci diir bu xawa yàgg.
  • Risk ak kaaraange. Li liggéeyukaay bi di ñaax mooy tëral ni produit bi di doxee, kaaraange gi ak ubbeeku gi.

Moytul

  • Koom-koomu ubbite mën na raw stabilite ci def liggéeyu defar dëgg.
  • Njëg yi ci API wala coppite ci sàrt yi mën nañu dindi xalaat yi ci guddi gi.
  • Dependence ci benn jaaykat dafay yokk njëgu tëjug ak migraasioŋ.

Jéego yi ci topp

  1. Saytu sa fournisseur yi nga jëfandikoo sa liggéey ak say done.
  2. Xoolaat mbir yu nëbbu, kaaraange ak sàrti yoon balaa ngay boole.
  3. Fexe am palaŋu fallback ci model yi wala jaaykat yi.
  4. Xool notu génne yi suko defee coppite yi ci kàrtu yoon du jaaxal ekip yi.

Weyal di banneexu

Bulletin bu amul fayda

Jàngal xibaar AI bu bes

Ñatti jaar-jaari IA yuñ firndeel bis bu nekk ci ayu-bis bi, ñu bind leen ci Àngle bu leer. Gratis ba fàww, amul yëgle.

Benn email bis bu nekk ci ayu-bis bi. Benn klik nga dindi abonemaa bi. Dunu musa jaay wala séddoo sa adres.

Nattal sa bopp

Take the Databricks quiz

Feedback ci saasi ci bépp tontu, ak sertifikaa buñ mëna séddoo ak ID buñ mëna saytu soo jàllee ci njàng mi.

Tambalil quiz

Jàppale njàngum IA te doo fay. AI Understanding mbootaay la buy def te Yàlla tax — amul yëgle, amul paywall, musul am. Defal ab sarax

Laaj yi ñuy faral di laaj

What is Databricks?

Databricks provides a data and AI platform built around Apache Spark and lakehouse storage. Delta Lake adds a transaction log and ACID transactions to tables, MLflow supports experiment tracking, and Unity Catalog governs data and AI assets; capabilities depend on the deployed product and configuration.

Ban projet open-source moo sos Databricks?

Defarkatu Apache Spark yu bawoo ci AMPLab bu UC Berkeley ñoo tàmbali Databricks ci 2013.

What does the lakehouse architecture aim to combine?

The lakehouse design combines data-lake storage with data-warehouse management and query capabilities. These are architecture goals; actual performance, cost, and reliability depend on configuration and workload.

Ban xeetu tablo ubbeeku mooy jox Databricks done lak jëflante ACID?

Delta Lake dafay yokk ab këyitu jëflante ak gaaraati ACID ci kaw dencukaay mbir yu yomb.

Lu ñuy jëfandikoo MLflow ci Databricks?

MLflow dafay yamale toppu daw yi, xeetu emballage yi ak yoriinu dugal gi.

Which MosaicML-related developments did Databricks announce during its generative-AI expansion?

Databricks announced the MosaicML acquisition in 2023 and introduced DBRX in 2024. These were separate events, not one release.