3. zorg
Zorgregistratiemuralelier
a
ulier Extr formu Extramurale dap healthcare
tratie form egevens client:
Persoonsg Ne zorg
Z orgregis ns client:AGB-code instelling Naam ins
telling
gegeve 123-456
123-456
Persoons Sofinummer Naam instelling
instelling 9 Nedap healthcare
1234.567.89
AGB-code 1234.567.8 de
Postcode en huisnummer
mer 56 1234 AB Voorvoegsel
re 56
Sofinum 1234 AB hc
a C.D.
mer Achternaam
en huisnum alt Vries Voorletters
Postcode Vries he Voorvoegsel
Geboortedatum
d ap 01-01-1923
de
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Notas del editor
\n
2000 automatiseren administratie thuiszorg\n
2000 automatiseren administratie thuiszorg\n
2000 automatiseren administratie thuiszorg\n
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2006 toevoeging planning\n
Caren, Medewerkerportaal, niet meer ‘kantoorapps’\n
Dossier, iPad\n
Interconnectie applicaties, expertise op een plek\n
Marktgroepen wiel opnieuw uitvinden => Waar onder HA\n
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Tabelletje, maar in perspectief zetten => Plaatje\n
Basic availability: Goede backups; Enhanced availability: Data-protectie zoals RAID, prevents single disk failure; High availability: Online applicatie- en datamanagement. Integratie van OS, Application; Fault tolerant: Duur! (99.999% = 5.25 minutes/year, < 1 seconde/dag)\n
Basic availability: Goede backups; Enhanced availability: Data-protectie zoals RAID, prevents single disk failure; High availability: Online applicatie- en datamanagement. Integratie van OS, Application; Fault tolerant: Duur! (99.999% = 5.25 minutes/year, < 1 seconde/dag)\n
Basic availability: Goede backups; Enhanced availability: Data-protectie zoals RAID, prevents single disk failure; High availability: Online applicatie- en datamanagement. Integratie van OS, Application; Fault tolerant: Duur! (99.999% = 5.25 minutes/year, < 1 seconde/dag)\n
Helemaal aan het einde na Redis: Single datacenter => Single Point Of Failure\n
Helemaal aan het einde na Redis: Single datacenter => Single Point Of Failure\n
Helemaal aan het einde na Redis: Single datacenter => Single Point Of Failure\n
Helemaal aan het einde na Redis: Single datacenter => Single Point Of Failure\n
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Split brain: netwerk link eruit\n
Split Brain. Network example\n
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No automatic failover\nWrite to any server (different datacenters)\nAsynchronous\nSupport transactions\n
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Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
Primary Component Selection Algorithm\nQuorum\n
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Sharding (vs. partitioning, vs. horizontal partitioning)\n
Sharding example\n
Sharding example\n
Sharding example\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n
Wikipedia refers to sharding simply as horizontal partition, i.e splitting the data rows. What we are doing is taking the business case into account. This is called "business sharding" or a "functional sharding".\nShared-nothing\n