Personal Information
Organización/Lugar de trabajo
Stockholm Sweden
Ocupación
IBM Data Science Evangelist
Sector
Technology / Software / Internet
Sitio web
www.meetup.com/mumbai-spark-meetup
Acerca de
Tushar Kale is a Data Science Evangelist with GBS-SWG iCoC team. He is a SME for Apache Spark, InfoSphere - Streams and InfoSphere Changed Data Capture (CDC). Tushar has over 17 years of diverse experience in implementing very large scale Near Real Time Data warehouses that are mission critical for Telecom, Banks, Health Care, Criminal Justice, Staffing and Postal industries.
Tushar set a new IBM CDC world record to process over 2000 logs amounting to 3.2 TB logs a day. He has a MBA in Finance and Bachelor of Engineering-Electronics and Communications with distinction from The University of Mumbai.
Etiquetas
big data
Ver más
Presentaciones
(2)Documentos
(2)Recomendaciones
(114)Snowflake SnowPro Certification Exam Cheat Sheet
Jeno Yamma
•
Hace 4 años
GANs for Anti Money Laundering
Jim Dowling
•
Hace 3 años
Building Serverless Microservices with AWS
Donnie Prakoso
•
Hace 5 años
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
•
Hace 4 años
Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks
•
Hace 4 años
High-Performance Advanced Analytics with Spark-Alchemy
Databricks
•
Hace 4 años
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Architect Things Right
Databricks
•
Hace 4 años
Automated Production Ready ML at Scale
Databricks
•
Hace 4 años
AI on Spark for Malware Analysis and Anomalous Threat Detection
Databricks
•
Hace 4 años
CyberMLToolkit: Anomaly Detection as a Scalable Generic Service Over Apache Spark
Databricks
•
Hace 4 años
Drug Discovery and Development Using AI
Databricks
•
Hace 4 años
Managing the Complete Machine Learning Lifecycle with MLflow
Databricks
•
Hace 4 años
Koalas: Pandas on Apache Spark
Databricks
•
Hace 4 años
Driver Location Intelligence at Scale using Apache Spark, Delta Lake, and MLflow on Databricks
Databricks
•
Hace 4 años
Retrieving Visually-Similar Products for Shopping Recommendations using Spark and Tensorflow
Databricks
•
Hace 4 años
How to Automate Performance Tuning for Apache Spark
Databricks
•
Hace 4 años
Astronomical Data Processing on the LSST Scale with Apache Spark
Databricks
•
Hace 4 años
Enabling Biobank-Scale Genomic Processing with Spark SQL
Databricks
•
Hace 4 años
Simplify and Scale Data Engineering Pipelines with Delta Lake
Databricks
•
Hace 4 años
Augmenting Machine Learning with Databricks Labs AutoML Toolkit
Databricks
•
Hace 4 años
Unified Approach to Interpret Machine Learning Model: SHAP + LIME
Databricks
•
Hace 4 años
Building a Scalable Data Science Solution to Outperform Sales Execution in Traditional Trade Markets
Databricks
•
Hace 4 años
Predicting Banking Customer Needs with an Agile Approach to Analytics in the Cloud
Databricks
•
Hace 4 años
Apache Spark for Cyber Security in an Enterprise Company
Databricks
•
Hace 4 años
Lessons Learned from Using Spark for Evaluating Road Detection at BMW Autonomous Driving
Databricks
•
Hace 4 años
Building an AI-Powered Retail Experience with Delta Lake, Spark, and Databricks
Databricks
•
Hace 4 años
Distributed Models Over Distributed Data with MLflow, Pyspark, and Pandas
Databricks
•
Hace 4 años
Improving the Life of Data Scientists: Automating ML Lifecycle through MLflow
Databricks
•
Hace 4 años
Commercial Analytics at Scale in Pharma: From Hackathon to MVP with Azure Databricks
Databricks
•
Hace 4 años
Personal Information
Organización/Lugar de trabajo
Stockholm Sweden
Ocupación
IBM Data Science Evangelist
Sector
Technology / Software / Internet
Sitio web
www.meetup.com/mumbai-spark-meetup
Acerca de
Tushar Kale is a Data Science Evangelist with GBS-SWG iCoC team. He is a SME for Apache Spark, InfoSphere - Streams and InfoSphere Changed Data Capture (CDC). Tushar has over 17 years of diverse experience in implementing very large scale Near Real Time Data warehouses that are mission critical for Telecom, Banks, Health Care, Criminal Justice, Staffing and Postal industries.
Tushar set a new IBM CDC world record to process over 2000 logs amounting to 3.2 TB logs a day. He has a MBA in Finance and Bachelor of Engineering-Electronics and Communications with distinction from The University of Mumbai.
Etiquetas
big data
Ver más