Eva Andreasson
where else to find them
no profile links on file
what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 3 in the filters
on a stage with
- Dean Wampleronce
- Kevlin Henneyonce
- Ola Binionce
all 4 in the filters
who talks about the same things
- Doug Cutting13 talks
- Jens Dittrich3 talks
- Dean Wampler29 talks
- Milos Milovanovic5 talks
- David Ostrovsky20 talks
- John Schroeder3 talks
| title | conference | date |
|---|---|---|
| Deep Dive into the Big Data Landscape | GOTO Copenhagen 2014 | 2014-09-25 |
Concrete pipelines and outcomes: structured sales CSVs load with Scoop -> Avro -> Hive -> Impala to produce interactive top-sellers; web clickstreams ingest… | ||
| Charting a Course Through Enterprise Architecture | GOTO Copenhagen 2014 | 2014-09-25 |
Panel argues Enterprise architecture moves from diagrams to experiments: companies build an Enterprise Data Hub (one unified store, often Hadoop) to give… | ||
| Solving Real & Big (Data) Problems Using Hadoop | GOTO Chicago 2014 | 2014-05-20 |
Describes using Hadoop as an enterprise data hub with HDFS, MapReduce, YARN and connectors like Sqoop/Flume, plus Impala, Spark, Hive, Solr, HBase, Oozie and… | ||
| Solving Real & Big (Data) Problems Using Hadoop | GOTO Aarhus 2013 | 2013-09-30 |
Shows how Hadoop and its ecosystem solve real limits: a network company processes ~600,000 phone‑home logs/week and requires 40% finished in an 18‑hour window… | ||
| nothing matches | ||