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An interesting approach to Leader Imbalance in
#apachekafka by@PinterestEng using#graph based Chain Swapping method. Part 1 https://medium.com/pinterest-engineering/using-graph-algorithms-to-optimize-kafka-operations-part-1-abbabd606a25 … Part 2 https://medium.com/@Pinterest_Engineering/using-graph-algorithms-to-optimize-kafka-operations-part-2-c970d9c08c7d …#dataengineering#loadbalancer#distributedsystemsHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Learn how to tune your model's hyperparameters with
@Keras Tuner https://dzlab.github.io/dltips/en/keras/hyperparameters-tuning/ …#tipoftheday#MachineLearningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Facebook
#OpenSource Year in Review is out via@fb_engineering https://engineering.fb.com/open-source/open-source-2019/ …#PyTorch#React#BlockchainHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
TensorWatch: an open-source tool for debugging and visualizing machine learning systems https://www.microsoft.com/en-us/research/blog/microsoft-makes-ai-debugging-and-visualization-tool-tensorwatch-open-source/ … via
@microsoftHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
A good read by
@MongoDB on Performance Best Practises and the advantage of careful Data Modelling vs Flexible Schema with concepts on Embedding & Referencing. https://www.mongodb.com/blog/post/performance-best-practices-mongodb-data-modeling-and-memory-sizing …#bigdata#datawarehouse#dataengineeringhttps://www.mongodb.com/blog/post/performance-best-practices-mongodb-data-modeling-and-memory-sizing …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Extracting representations of different senses of polysemic words from deep contextualized models like
#BERT,#ELMo, and#fastText. [Article] https://medium.com/@leslie_huang/automatic-extraction-of-word-senses-from-deep-contextualized-word-embeddings-2f09f16e820 … [Code] https://github.com/leslie-huang/howmanywordsenses …#nlp#machinelearning#DeepLearningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#deltalake an open-source storage layer that brings ACID transactions to#apachespark and big data workloads. This@Databricks blog provides more details and examples around support for other processing engines using manifest files.https://databricks.com/blog/2020/01/29/query-delta-lake-tables-presto-athena-improved-operations-concurrency-merge-performance.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Reformer: The Efficient Transformer by
@GoogleAI https://ai.googleblog.com/2020/01/reformer-efficient-transformer.html …#nlp#DeepLearningHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Custom Training Loop with GradientTape in TensorFlow 2 https://dzlab.github.io/dltips/en/tensorflow/training-loop/ …
#tipoftheday#TensorFlowHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#apachedruid 0.17.0 is out with https://github.com/apache/druid/releases/tag/druid-0.17.0 … - New Input Format. - LDAP Authentication - Testing\Troubleshooting framework - GroupBy Query Optimization - Kinesis Resharding related errors - Auto Compaction to use the parallel indexing task.Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Use RangeAssignor strategy to co-localize partitions of several topics. RoundRobinAssignor to distribute available partitions evenly across all members & StickyAssignor like RoundRobin but minimize the partition movements between assignments ensuring uniform distribution.
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Learn how to implement custom Partition Assignment Strategies for failover in
#apachekafkahttps://medium.com/streamthoughts/understanding-kafka-partition-assignment-strategies-and-how-to-write-your-own-custom-assignor-ebeda1fc06f3 …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
a detailed explanation of how to size your
#Kubernetes cluster and count for the overhead caused by the number of workers https://learnk8s.io/kubernetes-node-size … via@learnk8sHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#ApacheFlink 1.10.0 is a major release with many interesting features around#kuberntes#machinelearning#sql Full release note here https://flink.apache.org/news/2016/08/08/release-1.1.0.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
The Engineer’s Guide to Career Growth — Advice from My Time at Stripe and Facebook –http://firstround.com/review/the-engineers-guide-to-career-growth-advice-from-my-time-at-stripe-and-facebook/?utm_content=ShareEntry-top&utm_source=twitter&utm_medium=social#rt_u=1579653742_vL5Vtn …
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
An interesting way to use
#apachepinot to#realtime query#presto layer by@UberEng https://eng.uber.com/engineering-sql-support-on-apache-pinot/ … Internally it used pinot coordinator and broker to redirect the data segments and worker behaved same as presto.#dataengineering#apacheprestoHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
#apachepinot is a realtime#distributed OLAP datastore developed by@LinkedInEng. It provides much Higher Throughput and low latency with larger set of queries than#druid. Pinot inherits#apachehelix for cluster management! https://pinot.readthedocs.io/en/latest/architecture.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
How I Stopped a Credit Card Thief From Ripping Off 3,537 People – and Saved Our Nonprofit in the Process https://www.freecodecamp.org/news/stopping-credit-card-fraud-and-saving-our-nonprofit/ … via
@freeCodeCampHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
(بشير) bachir proslijedio/la je Tweet
Today we’re releasing a new bike trip data tool that shows where and when cyclists are most active in our cities to help establish safer and better bike infrastructure. The data is available for SF, DC and Paris, with more cities coming in the future.pic.twitter.com/xbWomLlQMW
Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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