Large Scale Analytical Data Management

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Peter Bonz (http://homepages.cwi.nl/~boncz/) describes the challenge that data makes on data management systems. He describes his links to other computer science disciplines within the DSRC and importantly outlines the need to train data scientists.

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Large Scale Analytical Data Management

  1. 1. DS RC Data Science Research Center Large-Scale Analytical Data Management Peter Boncz
  2. 2. DS RC Database Research  Data Mgmt Systems Research • SIGMOD, TODS, PVLDB, ICDE, VLDBJ – major industry connections (billion$/y) Expanding Topic set & Societal Impact – – – – – – Data Stream Processing Data Mining Information Extraction, Text Retrieval RDF and Graph data management MapReduce + Cloud Data Privacy
  3. 3. DS RC DB Research Highlights (1/4) Data Storage and Query – efficiency/scalability • Computer architecture vs DBMS architecture http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster
  4. 4. DS RC DB Research Highlights (1/4) Data Storage and Query – efficiency/scalability • Computer architecture vs DBMS architecture – Columnar storage – Fast Compression Methods – Differential Storage Techniques (Positional Delta Trees) – Vectorized Execution • http://www.tpc.org/tpch/results/tpch_perf_results.asp?resulttype=noncluster – Robust Query Execution (“micro adaptivity”) – Just-In-Time (JIT) Compilation – Cooperative Scans – sharing scarce I/O bandwidth
  5. 5. DS RC DB Research Highlights (2/4) Commodity Cluster Computing - Cloud • Various MonetDB Cluster Projects – Shared-nothing data storage, query optimization • Hadoop VectorWise (VU MSc projects) – cluster scalability &failover – Tightly integrated Hadoop/YARN/HDFS • CWI scilens cluster – Amdahl number >1 large I/O resources – Other uses: webcraw analysis, 500 billion triple BI BSBM benchmark
  6. 6. DS RC DB Research Highlights (3/4) Adaptive Indexing • DBA expertise extremely scarce • Science workloads hard to predict & variable Database Cracking: “every query is an advise how to store the data” continuous self-steering data reorganization + Approximate Query Execution on Samples + Recycling – exploit overlap in workloads + Fingerprint Indexing – exploit local correlations
  7. 7. DS RC DB Research Highlights (4/4) Support for non-tabular data • Text (retrieval) • Scientific – Data vaults: directly query FITS, GeoTIFF,BEM,MSEED,.. – SciQL: Arrays as 1st class database objects – MonetDB.R: using columns as arrays (and vice versa) • Semantic Data – RDF – “automatically discovering schemas in LOD data” • Bridge gap between RDF and relational • Graph Data Management – Benchmark development
  8. 8. DS RC Application Areas – Business Intelligence • Marketing/Sales, Fraud Detection, Churn (spin-offs) • Social network analysis (LDBC) – Security • Digital Forensics (NFI - XIRAF) • ... – Science • Astronomy (LOFAR transient search) • Meterology (Earthquake Analysis - KNMI) – Linked Data • Open government (LOD2)
  9. 9. DS RC Areas of Activity Visual Analytics Business Analytics Decision Theory Understand and decide Distributed Processing Data Reasoning Knowledge representati on Large Scale Databases Store and process Software Eng. System / Network Eng. Analyze and model Multimedia Retrieval Modeling and simulation Information Retrieval Machine Learning
  10. 10. DS RC Data Science Education enormous demand for (“big”) data scientists • Possibilities/limitations of wide array of techniques – – – – Information extraction, cleaning Ranking, retrieval Data Mining, and its applications DB principles (Q-opt, query processing algorithms, storage techniques) • Understand key performance factors – Latency vs bandwidth – Networks, computer architecture – algorithm optimization techniques • Practical skills – Modern Software engineering methods – Rapid prototyping languages – Solving problems usin Hadoop clusters  proposal: “Extreme Data Management” MSc course
  11. 11. DS RC Opportunities: CWI • Database Architecture Group – research, application, data science experience – MonetDB, Vectorwise technologies – Scilens: data-intensive large compute cluster • CWI motivators – Dual Appointments – Data Science MSc education • Attracting top students into MSc projects / PhD – DSRC co-positioning in future research funding
  12. 12. DS RC Conclusion • Database research present in Amsterdam – research, application, valorisation • Data Science Education! – Proposal: Extreme data Management course • ..DSRC and the CWI..

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