Ashish Tadose

92 Abonné

Experienced BigData Solution Architect, Developer and Apache committer. Proficient at Big Data Technologies and Solution architecture for large scale data processing. Vast experience in research and development of products leveraging distributed computing platforms. Successfully designed cloud and on premise data architecture for PetaByte scale volume. Experienced in tuning and managing petabyte scale big data processing ecosystem involving open source technologies such as Hadoop, Yarn, Spark, Kafka, Spark Streaming, Flink, HBase, Geode, Flume & Apex. Successfully setup Lambada architecture pipeline for large scale AdTech data processing for reporting, analytics & machine learning....

big data analytics hadoop prestosql presto streaming apacheapex apex alluxio sql nosql gcp data architecture streaminganalytics bigdata geode bigdata hadoop streaming distributed computing

Tout plus

Activité
À propos

Tout plus

Ashish Tadose

Présentations

Building Distributed Data Streaming System

Apex & Geode: In-memory streaming, storage & analytics

RealTime AdTech reporting & targeting with Apache Apex

Getting Actionable, Reactive and Historic insights on large volumes of data

Enterprise Presto PaaS offering in Google Cloud

Distributed Query Service Powered By Presto & Alluxio Across Clouds @WalmartLabs

J’aime

Distributed Systems: scalability and high availability

Scalability, Availability & Stability Patterns

A Beginners Guide to noSQL

Agility Requires Safety

Hadoop 3.0 - Revolution or evolution?

Drizzle—Low Latency Execution for Apache Spark: Spark Summit East talk by Shivaram Venkataraman

#GeodeSummit - Apex & Geode: In-memory streaming, storage & analytics

Apache Phoenix and Apache HBase: An Enterprise Grade Data Warehouse

Real Time Analytics: Algorithms and Systems

Introduction to Apache Apex

Apache Apex & Apace Geode In-Memory Computation, Storage & Analysis

Startups are Hard. Like, Really Hard. @luketucker

From Mainframe to Microservice: An Introduction to Distributed Systems

Comparison of MPP Data Warehouse Platforms

Being Ready for Apache Kafka - Apache: Big Data Europe 2015

Analysing data analytics use cases to understand big data platform

9 Ways to Be More Productive - Backed by Science

November 2014 HUG: Lessons from Hadoop 2+Java8 migration at LinkedIn

Data science and_analytics_for_ordinary_people_ebook

Three Ways Benchmarking Data Can Save the Day for Publishers (Infographic)

Mapreduce Algorithms

Introduction to YARN and MapReduce 2

Large scale ETL with Hadoop

Apache Kafka 0.8 basic training - Verisign