Andreas Scherbaum
Something with big databases at Pivotal
Andreas Scherbaum is working with PostgreSQL since 1997. He is involved in several PostgreSQL related community projects, member of the Board of Directors of the European PostgreSQL User Group and also wrote a PostgreSQL book (in German). Since 2011 he is working for EMC/Greenplum/Pivotal and tackles very big databases.
Upcoming presentations
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Past presentations
It's more than just storing and retrieving data. Equally important are loading high volume data in parallel and running analytics in the database. This hands-on session will lead you through the entire process of creating, loading, and analyzing data in the Greenplum MPP database. It's PostgreSQL, but bigger and DWH-focused.
At the end of this workshop, attendees will learn modern DWH techni...
Mar 18 2019
Ever wondered what might be the best data type for a certain use case? Is it better to use INTEGER or BIGINT, and should you use TIMESTAMP or is it better to use TIMESTAMPTZ? When is the last time you migrated a legacy database and wondered what to use as replacement for VARCHAR2 or CHAR(255)? How to store IP addresses or geographical data, does that fit into VARCHAR or is there something more ...
Greenplum is a PostgreSQL fork, optimized for Analytics and Data Warehouse use cases. Pivotal announced in early 2015 that a number of products will go Open Source, one of them is Greenplum Database. This talk provides an overview over the history of Greenplum, the entire process of bringing the product into Open Source, all the stumbling blocks we ran into, and explains how contributors can pa...
BOfH subtitle: Mark your customers profiles with ICBM coordinates Companies collect huge amounts of data. In order to provide location based services, address data must be coupled with geocoordinates and location based events must be coupled with nearest address information. That's not an easy task: geocoordinates not always match an exact address, and addresses can have a broad variety of form...
It's more than just storing and retrieving data. Equally important are loading high volume data in parallel and running analytics in the database. This hands-on session will lead you through the entire process of creating, loading, and analyzing data in the Greenplum MPP database. It's PostgreSQL, but bigger and DWH-focused.
At the end of this workshop, attendees will learn modern DWH tec...
Ever wondered what might be the best data type for a certain use case? Is it better to use INTEGER or BIGINT, and should you use TIMESTAMP or is it better to use TIMESTAMPTZ? When is the last time you migrated a legacy database and wondered what to use as replacement for VARCHAR2 or CHAR(255)? How to store IP addresses or geographical data, does that fit into VARCHAR or is there something more ...
Apr 19 2018