Personal Information
Entreprise/Lieu de travail
Greater Seattle Area United States
Profession
Principal Program Manager at Microsoft
Secteur d’activité
Technology / Software / Internet
À propos
Deep technical program manager and team leader in the areas of Big Data Processing, and relational and non-relational data processing (including NoSQL, Geospatial, XML, JSON).
HDInsight 2013: Data Movement and Azure Storage integration with Hadoop.
SQL Server 2012: Scenario owner for the Beyond Relational Scenario and NoSQL Strategist.
SQL Server 2008: Drive the Spatial indexing support, Search scenarios and XML support.
SQL Server 2000 - 2008: Design and management of XML features in Microsoft SQL Server.
PhD in computer science from ETH Zuerich. Post-doc at Stanford University working on semistructured databases and heterogeneous information integration.
Specialties: Database syst...
Mots-clés
u-sql
azure data lake
big data
azure data lake analytics
microsoft sql server
sql server 2012
apache spark
sql server
azure synapse
.net for spark
.net
sql azure federations
sql azure
spatial data
.net for apache spark
spark
big cognition
r
adla
azure data lake storage
query performance
analytics
data lake
filetable
nosql paradigms
spatial index
sql server 2008
sqlbits 2020
modern data warehouse
python
query tuning
query execution
azure
performance
scale-out
beyond relational
semantic search
fulltext search
nosql
xml
data lake house
synapse sql
sql data warehouse
azure synapse analytics
notebooks
spark.net
c#
azure data factory
lets
etl
best practices
language design
query language
machine learning
adls
adl
windows azure
hdinsight
hadoop
microsoft
microsoft sql server 2012
scalability
unstructured data
sharding
strata conference
mapreduce
federations
xquery
Tout plus
Présentations
(48)
Tout voir
J’aime
(4)
Tout voir
Big Data Processing with Spark and .NET - Microsoft Ignite 2019
Michael Rys
•
il y a 3 ans
Best Practices and Performance Tuning of U-SQL in Azure Data Lake (SQL Konferenz 2018)
Michael Rys
•
il y a 4 ans
Azure Data Lake and U-SQL
Michael Rys
•
il y a 7 ans
SQL and NoSQL Are Two Sides of the Same Coin (Strata 2012)
Michael Rys
•
il y a 10 ans
Présentations
(48)
Tout voir
J’aime
(4)
Tout voir
Big Data Processing with Spark and .NET - Microsoft Ignite 2019
Michael Rys
•
il y a 3 ans
Best Practices and Performance Tuning of U-SQL in Azure Data Lake (SQL Konferenz 2018)
Michael Rys
•
il y a 4 ans
Azure Data Lake and U-SQL
Michael Rys
•
il y a 7 ans
SQL and NoSQL Are Two Sides of the Same Coin (Strata 2012)
Michael Rys
•
il y a 10 ans
Personal Information
Entreprise/Lieu de travail
Greater Seattle Area United States
Profession
Principal Program Manager at Microsoft
Secteur d’activité
Technology / Software / Internet
À propos
Deep technical program manager and team leader in the areas of Big Data Processing, and relational and non-relational data processing (including NoSQL, Geospatial, XML, JSON).
HDInsight 2013: Data Movement and Azure Storage integration with Hadoop.
SQL Server 2012: Scenario owner for the Beyond Relational Scenario and NoSQL Strategist.
SQL Server 2008: Drive the Spatial indexing support, Search scenarios and XML support.
SQL Server 2000 - 2008: Design and management of XML features in Microsoft SQL Server.
PhD in computer science from ETH Zuerich. Post-doc at Stanford University working on semistructured databases and heterogeneous information integration.
Specialties: Database syst...
Mots-clés
u-sql
azure data lake
big data
azure data lake analytics
microsoft sql server
sql server 2012
apache spark
sql server
azure synapse
.net for spark
.net
sql azure federations
sql azure
spatial data
.net for apache spark
spark
big cognition
r
adla
azure data lake storage
query performance
analytics
data lake
filetable
nosql paradigms
spatial index
sql server 2008
sqlbits 2020
modern data warehouse
python
query tuning
query execution
azure
performance
scale-out
beyond relational
semantic search
fulltext search
nosql
xml
data lake house
synapse sql
sql data warehouse
azure synapse analytics
notebooks
spark.net
c#
azure data factory
lets
etl
best practices
language design
query language
machine learning
adls
adl
windows azure
hdinsight
hadoop
microsoft
microsoft sql server 2012
scalability
unstructured data
sharding
strata conference
mapreduce
federations
xquery
Tout plus