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apache spark sparkaisummit spark + ai summit

 * spark summit ai

 * big data

 * machine learning

 * databricks databricks * 2019 * 
apache spark

 * spark + ai summit * apache spark

 * machine learning big data spark data science mlflow apache spark 2.0 spark sql dataframes structured streaming spark streaming tensorflow model management hadoop deep learning pipelines python ai deep learning spark summit east 2017 pyspark databricks cloud delta lake strata san jose sparkr keras bay area apache spark meetup apache spark

 * spark performance tuning unified analytics platform apache spark 2.3 machine learning pipelines cloud graphframes mllib tungsten r data pipeline datasets pandas etl spark summit east 2016 jit-dw distributed data * artificial neural networks catalyst neural networks streaming data warehousing performance databricks delta kubernetes and spark advanced analytics ml model tracking data scale scala r on spark machine learning model management lakehouse linkedin open source apachespark spark 2.0 apache spark 2.2 spark meetup pytorch spark + ai summit 2020 sparkasisummit ml pipelines ml model experimentaiton ml model management aws automate sql azure hdfs devops dataframe koalas mlflow model serving spark clusters gpu acceleration tensorframes database vida ha spark ml mllib continuous applications rdds graph algorithms mlops real-time quick start scikit-learn change data capture schema on read spark summit 2016 deploying spark best practices use case bogota spark meetup model training data lake adaptive query execution dynamic partition prunning amplab apache spark 2.0 structured streaming databricks advanced analytics online analytics predictionio tensorframes tensorflow sparkr r r statistics sql join hints pandas udf webinar motif finding graph queries motif project zen cdc mlflow integration data source api data visualization ml jvm model deployment debugging model serving testing groupbykey errors holden karau reducebykey serialization nvidia shuffling rapids mlflow deployment sparkcamp nvidia rapids sql analytics pycaret automl torchserv torchscript free training generalized linear model matei zaharia community edition just-in-time data warehousing autologging apache spark 1.6 dataset spark use cases healthcare data mining sketch sampling strata new york stratified sampling count-min sketch frequent items bloom filter hyperloglog schema management parviz deyhim apache spark 1.5 patrick wendell redisai mlconf seattle strata london data agility data abstraction dalispark views apache hive presto data access dalispark cost based optimizer meaning microsoft onnx pydatamiami datat science ml end-to-end lifecycle ml model experimentation model tracking rstudio sparksaturday real time distributed training horovod mpi customer experience spark mllib uber distributed deep learning democratization workshop ml stack factory building scalable forecast dynamic partition pruning cosmos db knowledge graph fastai deep anomaly detection streaming analytics model reasoning kubeflow rest backend data quality astronomical data processing lsst scale spark operator vectorized hyperparameter loss prevention spark core acid orc apps facebook maps nubank data analytics odsc dapply spark-sklearn distributed computing gpu stanford multicore parallelization weld r packages rlang distributed sparksql etl pipeline cloud data womenintech executive leadership development equality women spark production production streaming applications advanced streaming analytics cloud storage storage databricks unified platform spark+aisummit structures microsoft azure security salesforce wibd real-time model scoring threat detection cybersecurity databricks unified analytics platform continuous streaming databricks runtime 4.0 model registry ci/cd women in big data women in apache spark graph analytics apach spark jsonnet basel kubernetes 2020 apache spark 3.0 deployment models spark summit 2017 kinesis firehose datab