Q&A on Data Integration and Big Data
Roberto Zicari did a Q&A with me about Data Integration and Big Data. Covered topics are Data...
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Category: DataLake
DOAG Big Data Days 2018
DOAG Big Data Days 2018 took place in Dresden from 20-Sep-2018 to 21-JUN-2018 with talks around Data capital, Data catalog, Streaming, Kafka, Data Lake, visualization, and geodata. There was also a hands-on workshop about Big...
Read MoreTDWI Munich 2018 – AI, Data Catalog and Automation&Agility
TDWI 2018 took place in Munich from 25-JUN-2018 to 28-JUN-2018. This blog post summarizes some of my impressions on the topics AI, Data Catalog and Automation&Agility. Artificial Intelligence AI was the main topic in...
Read MoreMetadata Management reloaded
Metadata is data about data. It used to be so simple with RDBMS and defined schemas. Variety creates the biggest challenge to derive metadata on-the-fly. What about schema-on-read? Schema-on-read applies the schema when data is retrieved.
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Data Modeling Zone, Düsseldorf 2017
The European Data Modeling Zone (DMZ) took place in Düsseldorf from 23-OCT-2017 to 25-OCT-2017....
Read MoreSchemaless revolution and data migration burden
The need to model all data up front caused developers to tag relational databases with attributes like inflexible, dated, annoying, painful, etc. It is often not possible anymore to define a schema that remains stable for...
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Current trends in Data Management by BARC
Dr. Carsten Bange from Business Application Research Center (BARC) presented trends in...
Read MoreGOODS – How to post-hoc organize the Data Lake
Google describes in a recent paper „Goods: Organizing Google’s Datasets“ their approach for post-hoc metadata management. GOODS (GOOgle Dataset Search) is a system that crawls internal storage systems (e.g. GoogleFS, Bigtable,...
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