Upendra Bhandari

50 Abonné

Overall 8 years of experience with 3 years in Big data technologies. Capable of processing large sets of structured, semi-structured and unstructured data and supporting systems application architecture. Hortonworks Certified Hadoop Developer, MapR Certified Spark Developer. Able to assess business rules, collaborate with stakeholders and perform source-to-target data mapping, design and review. Familiar with data architecture including data ingestion pipeline design, Hadoop information architecture, data modeling and machine learning and advanced data processing. Experience optimizing ETL workflows. Designing, Implementing and Supporting Data Integration and RDBMS solutions. Areas of E...

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Upendra Bhandari

Apache Spark 101 [in 50 min]

Kafka Streams vs. KSQL for Stream Processing on top of Apache Kafka

Keeping Your Data Close and Your Caches Hotter (Ricardo Ferreira, Confluent) Kafka Summit NYC 2019

Qonnections2015 - Why Qlik is better with Big Data

HBaseCon 2012 | HBase Schema Design - Ian Varley, Salesforce

Operational Tips For Deploying Apache Spark

End to End Streaming Architectures

Intro to Spark with Zeppelin

Building a modern Application with DataFrames

Kafka for DBAs

Apache Kafka: A high-throughput distributed messaging system @ JCConf 2014

Introduction to Apache Kafka

Introduction and Overview of Apache Kafka, TriHUG July 23, 2013

The Future of Real-Time in Spark

Spark SQL Deep Dive @ Melbourne Spark Meetup

Introduction to Apache Spark Developer Training

Everyday I'm Shuffling - Tips for Writing Better Spark Programs, Strata San Jose 2015

What is big data - Architectures and Practical Use Cases

VoltDB - Stonebraker Live! - New York City 2013

IDEO workshop for Techstars