Personal Information
Unternehmen/Arbeitsplatz
Kansas City, Missouri Area United States
Beruf
Lead Data/Platform Engineer
Branche
Technology / Software / Internet
Info
• 10 Years of experience in Information Technology in system architecture, application design, application development, data analysis, analytics solution design and consulting experience.
• Over 5 years of experience in developing and delivering real world Big Data/Hadoop solutions.
• Expertise in building scalable analytics solutions using Cloudera distributions of Hadoop, Apache Spark, MapReduce, Apache Crunch, Apache Solr, Pig, Hive, HBase and Cassandra.
• Expertise in creating efficient, portable, fast & compact big data models using Google Protocol Buffers, Avro, Thrift and Apache Parquet for Big Data Analytics Applications.
• Extensively worked in Continuous Integration and Continu...
- Präsentationen
- Dokumente
- Infografiken
Tuning Apache Spark for Large-Scale Workloads Gaoxiang Liu and Sital Kedia
Databricks
•
Vor 6 Jahren
Hive + Tez: A Performance Deep Dive
DataWorks Summit
•
Vor 9 Jahren
Real Time Analytics: Algorithms and Systems
Arun Kejariwal
•
Vor 8 Jahren
Why Your Apache Spark Job is Failing
Cloudera, Inc.
•
Vor 8 Jahren
VISIONS OF THE FUTURE Little Rock 2016
Brian Housand
•
Vor 8 Jahren
Hive join optimizations
Szehon Ho
•
Vor 8 Jahren
Apache Storm vs. Spark Streaming – two Stream Processing Platforms compared
Guido Schmutz
•
Vor 9 Jahren
Apache storm vs. Spark Streaming
P. Taylor Goetz
•
Vor 9 Jahren
10 Steps great leaders take when things go wrong
GetSmarter
•
Vor 8 Jahren
Building a modern Application with DataFrames
Databricks
•
Vor 8 Jahren
Building a Turbo-fast Data Warehousing Platform with Databricks
Databricks
•
Vor 8 Jahren
Introducing DataFrames in Spark for Large Scale Data Science
Databricks
•
Vor 9 Jahren
Simplifying Big Data Analytics with Apache Spark
Databricks
•
Vor 9 Jahren
Strata NYC 2015: Sketching Big Data with Spark: randomized algorithms for large-scale data analytics
Databricks
•
Vor 8 Jahren
Apache® Spark™ 1.5 presented by Databricks co-founder Patrick Wendell
Databricks
•
Vor 8 Jahren
Dynamic Allocation in Spark
Databricks
•
Vor 8 Jahren
Spark DataFrames: Simple and Fast Analytics on Structured Data at Spark Summit 2015
Databricks
•
Vor 8 Jahren
Apache Kafka 0.8 basic training - Verisign
Michael Noll
•
Vor 9 Jahren
2013 July 23 Toronto Hadoop User Group Hive Tuning
Adam Muise
•
Vor 10 Jahren
Data Source API in Spark
Databricks
•
Vor 9 Jahren