Cursuri de pregatire Which data storage to choose - from flat files, through SQL, NoSQL to massive distributed systems

ID de curs



7 ore (usually 1 day including breaks)


Though no technical background is required, understanding the examples requires some level of database theory (e.g. SQL, etc...)


Acest curs îi ajută pe client să aleagă stocarea datelor de scriere depinde de nevoile lor Acoperă aproape toate abordările moderne posibile .

Machine Translated

Schița de curs

  1. File Document Storage (Cloud Storage)
    1. Features (OCR, Scalaibility, Search, etc...)
    2. Open Source examples (e.g. Next Cloud)
    3. Some commercial examples
  2. Flat file storage
    1. XML databases
    2. CSV databases
  3. Relational databases
    1. Normalization
    2. Dependencies and Constrants
    3. Scalability - replications, clusters
    4. Open Source and commercial software (MySQL, PostrgreSQL, DM7, Oracle, etc.)
  4. NoSQL Storage
    1. Document Oriented Databases (MongoDB, CouchDB etc...)
    2. Column Orientation (Canadra, Scylla etc...)
    3. Search Orientation (Elasticsearch...
  5. NewSQL
    1. CAP Theorem
    2. Opensource software (SequoiaDB, etc...)
  6. Search Engines
    1. Features (text processing, relevancy, etc...)
    2. Open Source examples
    3. Scalability, High Availability, Load Balacing, etc....
  7. Traditional Datawherehouses
    1. Business Inteligence, OLTP and Datawherehouse
    2. Opensource and commercial solutions
  8. MapReduce and Distributed Parallel Processing
    1. Hadoop-like (Hive, HFS, Impala)
  9. Distributed filesystem
    1. Overview of opensource (Ceph etc...)
  10. In-memory Databases
    1. Opensource solution (e.g. ApacheIgnite)
  11. Others
    1. Hypertable (Google Bigtable)
    2. BigQuery
    3. AWS solutsion (S3, etc...)
  12. Beyond present - future trends



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