Personal Information
Unternehmen/Arbeitsplatz
Stockholm Sweden
Beruf
IBM Data Science Evangelist
Branche
Technology / Software / Internet
Webseite
www.meetup.com/mumbai-spark-meetup
Info
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.
Tags
big data
Mehr anzeigen
- Präsentationen
- Dokumente
- Infografiken
Snowflake SnowPro Certification Exam Cheat Sheet
Jeno Yamma
•
Vor 4 Jahren
GANs for Anti Money Laundering
Jim Dowling
•
Vor 3 Jahren
Building Serverless Microservices with AWS
Donnie Prakoso
•
Vor 6 Jahren
Optimizing Delta/Parquet Data Lakes for Apache Spark
Databricks
•
Vor 4 Jahren
Performance Analysis of Apache Spark and Presto in Cloud Environments
Databricks
•
Vor 4 Jahren
High-Performance Advanced Analytics with Spark-Alchemy
Databricks
•
Vor 4 Jahren
Designing ETL Pipelines with Structured Streaming and Delta Lake—How to Architect Things Right
Databricks
•
Vor 4 Jahren
Automated Production Ready ML at Scale
Databricks
•
Vor 4 Jahren
AI on Spark for Malware Analysis and Anomalous Threat Detection
Databricks
•
Vor 4 Jahren
CyberMLToolkit: Anomaly Detection as a Scalable Generic Service Over Apache Spark
Databricks
•
Vor 4 Jahren
Drug Discovery and Development Using AI
Databricks
•
Vor 4 Jahren
Managing the Complete Machine Learning Lifecycle with MLflow
Databricks
•
Vor 4 Jahren
Koalas: Pandas on Apache Spark
Databricks
•
Vor 4 Jahren
Driver Location Intelligence at Scale using Apache Spark, Delta Lake, and MLflow on Databricks
Databricks
•
Vor 4 Jahren
Retrieving Visually-Similar Products for Shopping Recommendations using Spark and Tensorflow
Databricks
•
Vor 4 Jahren
How to Automate Performance Tuning for Apache Spark
Databricks
•
Vor 4 Jahren
Astronomical Data Processing on the LSST Scale with Apache Spark
Databricks
•
Vor 4 Jahren
Enabling Biobank-Scale Genomic Processing with Spark SQL
Databricks
•
Vor 4 Jahren
Simplify and Scale Data Engineering Pipelines with Delta Lake
Databricks
•
Vor 4 Jahren