A PL & Compiler View on Data Management and ML Systems

Episodes

Data Cleaning
28 Jan 2020· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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A PL & Compiler View on Data Management and ML Systems
7 Jan 2020· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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SAP HANA - Software Development Process
10 Dec 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Dimensions of Hardware Parallelism & Exploiting Them for Data-Intensive Systems
10 Dec 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Scale-In, Then Scale-Out - MPP Postgres Database with FPGA Acceleration
3 Dec 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Deep Earth Query - Advances in Remote Sensing Image Characterization and Indexing from Massive Archives
26 Nov 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Apache Flink - An Introduction and Outlook into the Future
19 Nov 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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File Metadata Management in Snowflake
12 Nov 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Towards Interactive Data Analytics
5 Nov 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Recommending Tourist Activities - Data Science Challenges and the Needs for Data Pipelines
22 Oct 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Introduction
15 Oct 2019· Ringvorlesung - Practical Data Engineering (WT 2019/20) - tele-TASK
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Episodes

Data Cleaning

SAP HANA - Software Development Process

Dimensions of Hardware Parallelism & Exploiting Them for Data-Intensive Systems

Scale-In, Then Scale-Out - MPP Postgres Database with FPGA Acceleration

Deep Earth Query - Advances in Remote Sensing Image Characterization and Indexing from Massive Archives

Apache Flink - An Introduction and Outlook into the Future

File Metadata Management in Snowflake

Towards Interactive Data Analytics

Recommending Tourist Activities - Data Science Challenges and the Needs for Data Pipelines

Introduction