Business Analytics For All
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1 Business Analytics For All Unlocking the Value within the Data Vault BA4All Insight Session April 29 th 2014 Guy Van der Sande Vincent Greslebin
2 Fifthplay : Architecture Smart Homes Platform Data Warehouse Gebruikers ETL Dag - 1 Data Vault Data mart Marketing & SSC - Controle data kwaliteit - Toepassing business rules - Aggregatie - Filtering Utility Portal Facility Portal
3 Fifthplay : Why Data Vault? Pattern based design which allows agility to take place Easy to add new data sources making it future proof. This allows Fifthplay to stay innovative Large volume of data Build up history that is not available in the operational system Possibility of performing analysis on raw data (cfr quality checks) Development speed (Pilot : 37 working days)
4 Data Vault?
5 Data Vault?
6 Data Vault? The Data Vault is a detail oriented, historical tracking and uniquely linked set of normalized tables that support one or more functional areas of business. It is a hybrid approach encompassing the best of breed between 3rd normal form (3NF) and star schema. The design is flexible, scalable, consistent and adaptable to the needs of the enterprise.
7 Standard architecture The centerpiece of the Enterprise Data Warehouse History is build-up Granularity as detailed as possible No use of business rules Use of business keys that are horizontal in nature and provide visibility across lines of business A new layer which has the benefits of the RAW Data Vault, but with the business data embedded In the Business Data Vault the data has been altered, cleansed and changed to meet the business rules Downstream of the raw data vault Starting point for Master Data Management Metadata is absolutely vital
8 Component parts of the Data Vault model The Data Vault Model exists of 3 basic entity types Hubs : contains a unique list of business keys Links : associations across or between business keys Satellites : holds descriptive data (about the business key) over time
9 Component parts - Hub Represents a Core Business Concept Is formed around the Business Key of this concept Is established the first time a new instance of that business key is introduced Must be 1:1 with a single instance Consists of the business key, a sequence id, a load date/time stamp and a record source.
10 Component parts - Link Represents a natural business relationship between business keys Is established the first time this new unique association is presented Can represent an association between several Hubs and sometimes other Links. maintains a 1:1 relationship with the unique and specific business defined association between that set of keys. Consists of the sequence ids from the Hubs and Links Contains sequence id, a load date/time stamp and a record source.
11 Component parts - Satellite The Satellite contains the descriptive information (context) for a business key. A Satellite can only describe one key (Hub or a Link). The Satellite is the only construct that manages time slice data (data warehouse historical tracking of values over time).
12 Data Vault Why? Dimension 1 Dimension 2 Fact Dimension 3 Dimension 4
13 Data Vault Why? Dimension 1 Dimension 2 Fact Dimension 3 Dimension 4
14 Data Vault Why? Dimension 1 Dimension 2 Fact Fact Dimension 5 Dimension 3 Dimension 4
15 Data Vault Why? DV DM
16 Data Vault Why? S S DV S H L H S S H H DM
17 Data Vault Why? S S DV S H L H S S H H DM Dimension Fact
18 Data Vault How did we do it with Fifthplay?
19 HubServicePartner HubCustomer HubHomeAreaManager HubSmartPlug HubDeviceGroup HubEnergyLogType LinkServicePartnerCustomer LinkCustomerHomeAreaManager LinkHomeAreaManagerSmartPlug LinkCustomerDeviceGroup LinkDeviceGroupSmartPlug LinkDeviceSubGroupSmartPlug LinkSmartPlugApplianceEnergyLogT ype HubCity LinkHomeAreaManagerCity HubCountry LinkCountryCity HubSatServicePartner HubSatCustomer HubSatHomeAreaManager LinkSatHomeAreaManagerCity LinkSatCountryCity HubSatCountry HubSatDeviceGroup HubSatSmartPlug HubAppliance HubSatAppliance LinkSatSmartPlugApplianceEnergyL ogtype HubSatHomeAreaManagerAddress SeqServicePartner ServicePartnerID SeqCustomer CustomerID SeqHomeAreaManager HomeAreaManagerNumber SeqSmartPlug SmartPlugID SeqDeviceGroup DeviceGroupID SeqEnergyLogType EnergyLogName SeqServicePartnerCustomer SeqCustomer SeqServicePartner SeqCustomerHomeAreaMan ager SeqCustomer SeqHomeAreaManager SeqHomeAreaManagerSmar tplug SeqHomeAreaManager SeqSmartPlug SeqCustomerDeviceGroup SeqCustomer SeqDeviceGroup SeqDeviceGroupSmartPlug SeqDeviceGroup SeqDeviceSubGroupSmartPl ug SeqDeviceGroup SeqSmartPlug SeqSmartPlug SeqSmartPlugApplianceEner gylogtype SeqEnergyLogType SeqSmartPlug SeqCity CityPostalCode CityName SeqHomeAreaManagerCity SeqCity SeqHomeAreaManager SeqCountry CountryIsoCode SeqCountryCity SeqCity SeqCountry SeqSatServicePartner SeqServicePartner ServicePartnerCode ServiucePartner ServicePartnerCustomerCon tact SeqSatCustomer SeqCustomer Customer CustomerFirstName CustomerLastName CustomerLanguage SeqSatHomeAreaManager SeqHomeAreaManager HomeAreaManagerMode HomeAreaManagerArchitec ture SeqSatHomeAreaManagerCi ty SeqHomeAreaManagerCity HAMCityAddressLine1 HAMCityPhoneNumber HAMCityAddressLine2 SeqSatCountryCity SeqCountryCity CountryCityRegion CountryCityState SeqSatCountry SeqCountry CountryName SeqSatDeviceGroup SeqDeviceGroup DeviceGroupName DeviceGroupDescription SeqSatSmartPlug SeqSmartPlug SmartPlugDisplayName SmartPlugManufacturer SmartPlugModel SmartPlugIsGenerator SmartPlugHasChildren SmartPlugHasSchedule SeqAppliance ApplianceID SeqSatAppliance SeqAppliance ApplianceCategory SeqSatSmartPlugApplianceE nergylogtype SeqSmartPlugApplianceEner gylogtype EnergyLogDateTime EnergyLogValue SeqAppliance EnergyLogValueUnit Legend Hub Link Satellite ServicePartnerWebPage SeqSatHomeAreaManagerA ddress SeqHomeAreaManager HomeAreaManagerAddress Line1 HomeAreaManagerPostalCo de HomeAreaManagerAddress Line2 HomeAreaManagerCityNam e HomeAreaManagerProvince HomeAreaManagerState HomeAreaManagerCountry Fifthplay Raw Data Vault Architecture
20 Fifthplay Raw Data Vault Architecture HubSmartPlug HubEnergyLogType LinkSmartPlugApplianceEnergyLogT ype HubAppliance HubSatAppliance LinkSatSmartPlugApplianceEnergyL ogtype SeqSmartPlug SmartPlugID SeqEnergyLogType EnergyLogName SeqSmartPlugApplianceEner gylogtype SeqEnergyLogType SeqSmartPlug SeqAppliance ApplianceID SeqSatAppliance SeqAppliance ApplianceCategory SeqSatSmartPlugApplianceE nergylogtype SeqSmartPlugApplianceEner gylogtype EnergyLogDateTime EnergyLogValue SeqAppliance EnergyLogValueUnit Legend Hub Link Satellite
21 Fifthplay : Data Vault lessons learned Don t stop with data vault; A combination with classic dimensional Kimball-methodology is advised Be creative; get out of your comfort zone, dare to walk the thine line While setting up the data vault, operational issues where discovered early in the process ETL-development goes very quickly because of the typical pattern design of the data vault;
22 Data Vault What s next?
23 History and what s next? Relational modeling (E.F.Codd) Bill Inmon began discussing Data Warehousing Barry Devlin and Dr Kimball release Business Data Warehouse Bill Inmon popularizes Data Warehousing Dr Kimball popularizes Star Schema Dan Linstedt begins R&D on Data Vault Modeling Dan Linstedt releases first 5 articles on Data Vault Modeling 2012 : Dan Linstedt announces Data Vault : Dan Linstedt releases Data Vault 2.0 specs
24 Thank You In the Data Warehousing/BI world, we should store the data as it stands on the source system and interpret it on the way out to the data marts. This is absolutely critical to remember. Dan
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