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Datenkategorie
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Verfügbare Attribute (322)
| Attribut |
|---|
id Id |
amount Amount |
code Code |
date_created Date Created |
date_created_gmt Date Created Gmt |
date_expires Date expires |
date_expires_gmt Date modified Gmt |
date_modified Date Modified |
date_modified_gmt Date Modified Gmt |
description Description |
discount_type Discount type |
email_restrictions empfindlich Email restrictions |
exclude_sale_items Exclude sale items |
excluded_product_categories Excluded product categories |
excluded_product_ids Excluded product ids |
free_shipping Free shipping |
maximum_amount Maximum amount |
id Id |
email empfindlich |
first_name empfindlich First Name |
last_name empfindlich Last Name |
avatar_url empfindlich Avatar Url |
billing_address_1 empfindlich Billing Address 1 |
billing_address_2 empfindlich Billing Address 2 |
billing_city Billing City |
billing_company empfindlich Billing Company |
billing_country Billing Country |
billing_email empfindlich Billing Email |
billing_first_name empfindlich Billing First Name |
billing_last_name empfindlich Billing Last Name |
billing_phone empfindlich Billing Phone |
billing_postcode empfindlich Billing Postcode |
billing_state Billing State |
date_created Date Created |
date_created_gmt Date Created Gmt |
date_modified Date Modified |
date_modified_gmt Date Modified Gmt |
is_paying_customer Is Paying Customer |
role Role |
shipping_address_1 empfindlich Shipping Address 1 |
shipping_address_2 empfindlich Shipping Address 2 |
shipping_city Shipping City |
shipping_company Shipping Company |
shipping_country Shipping Country |
shipping_first_name empfindlich Shipping First Name |
shipping_last_name empfindlich Shipping Last Name |
shipping_postcode empfindlich Shipping Postcode |
shipping_state Shipping State |
username Username |
id Order ID |
parent_id Parent ID |
order_number Order number |
key Key |
refunds_id Refunds ID |
refunds_reason Refunds Reason |
refunds_total Refunds Total |
created_via Created via |
status Status |
currency Currency |
date_created Date created |
date_created_gmt Date created GMT |
date_modified Date modified |
date_modified_gmt Date modified GMT |
discount_total Discount total |
discount_tax Discount tax |
shipping_total Shipping total |
shipping_tax Shipping tax |
cart_tax Cart tax |
total Total |
total_tax Total tax |
prices_include_tax Prices include tax |
customer_id Customer ID |
customer_ip_address empfindlich Customer IP address |
customer_user_agent Customer user agent |
customer_note empfindlich Customer note |
payment_method Payment method |
payment_method_title Payment method title |
transaction_id Transaction ID |
date_paid Date paid |
date_paid_gmt Date paid GMT |
date_completed Date completed |
date_completed_gmt Date completed GMT |
cart_hash Cart hash |
set_paid Set Paid |
billing_address_1 empfindlich Billing Address 1 |
billing_address_2 empfindlich Billing Address 2 |
billing_city Billing City |
billing_company empfindlich Billing Company |
billing_country Billing Country |
billing_email empfindlich Billing Email |
billing_first_name empfindlich Billing First Name |
billing_last_name empfindlich Billing Last Name |
billing_phone empfindlich Billing Phone |
billing_postcode empfindlich Billing Postcode |
billing_state Billing State |
coupon_lines_code Coupon Lines Code |
coupon_lines_discount Coupon Lines Discount |
coupon_lines_discount_tax Coupon Lines Discount Tax |
coupon_lines_id Coupon Lines ID |
fee_lines_id Fee Lines ID |
fee_lines_amount Fee Lines Amount |
fee_lines_key Fee Lines Key |
fee_lines_name Fee Lines Name |
fee_lines_tax_class Fee Lines Tax Class |
fee_lines_tax_status Fee Lines Tax Status |
fee_lines_total Fee Lines Total |
fee_lines_total_tax Fee Lines Total Tax |
line_items_bundled_by Line Items Bundled By |
line_items_bundled_item_title Line Items Bundled Item Title |
line_items_id Line Items Id |
line_items_name Line Items Name |
line_items_parent_name Line Items Parent Name |
line_items_product_id Line Items Product ID |
line_items_quantity Line Items Quantity |
line_items_sku Line Items Sku |
line_items_subtotal Line Items Subtotal |
line_items_subtotal_tax Line Items Subtotal Tax |
line_items_tax_class Line Items Tax Class |
line_items_total Line Items Total |
line_items_total_tax Line Items Total Tax |
line_items_url Line Items Url |
line_items_variation_id Line Items Variation ID |
shipping_address_1 empfindlich Shipping Address 1 |
shipping_address_2 empfindlich Shipping Address 2 |
shipping_city Shipping City |
shipping_company empfindlich Shipping Company |
shipping_country Shipping Country |
shipping_first_name empfindlich Shipping First Name |
shipping_last_name empfindlich Shipping Last Name |
shipping_postcode empfindlich Shipping Postcode |
shipping_state Shipping State |
shipping_lines_id Shipping Lines Id |
shipping_lines_instance_id Shipping Lines Instance ID |
shipping_lines_method_id Shipping Lines Method ID |
shipping_lines_method_title Shipping Lines Method Title |
shipping_lines_total Shipping Lines Total |
shipping_lines_total_tax Shipping Lines Total Tax |
version Version |
id Order ID |
date_created Date created |
date_modified Date modified |
meta_data_id Meta data - ID |
meta_data_key Meta data - key |
meta_data_value Meta data - value |
id Id |
product_id Product Id |
date_created Date Created |
date_created_gmt Date Created Gmt |
date_modified Date Modified |
date_modified_gmt Date Modified Gmt |
description Description |
sku Sku |
price Price |
regular_price Regular Price |
sale_price Sale Price |
date_on_sale_from Date On Sale From |
date_on_sale_from_gmt Date On Sale From Gmt |
date_on_sale_to Date On Sale To |
date_on_sale_to_gmt Date On Sale To Gmt |
on_sale On Sale |
status Status |
purchasable Purchasable |
virtual Virtual |
downloadable Downloadable |
download_limit Download Limit |
download_expiry Download Expiry |
tax_status Tax Status |
tax_class Tax Class |
manage_stock Manage Stock |
stock_quantity Stock Quantity |
stock_status Stock Status |
backorders Backorders |
backorders_allowed Backorders Allowed |
backordered Backordered |
weight Weight |
dimensions_length Dimensions Length |
dimensions_width Dimensions Width |
dimensions_height Dimensions Height |
shipping_class Shipping Class |
shipping_class_id Shipping Class Id |
image_id Image Id |
image_name Image Name |
image_date_created Image Date Created |
image_date_modified Image Date Modified |
image_date_created_gmt Image Date Created Gmt |
image_date_modified_gmt Image Date Modified Gmt |
attributes_id Attributes Id |
attributes_name Attributes Name |
attributes_option Attributes Position |
menu_order Menu Order |
id Product ID |
permalink Permalink |
name Name |
date_created Date Created |
date_created_gmt Date Created GMT |
date_modified Date Modified |
date_modified_gmt Date Modified GMT |
type Type |
status Status |
featured Featured |
catalog_visibility Catalog Visibility |
short_description Short Description |
sku Sku |
price Price |
regular_price Regular Price |
sale_price Sale Price |
date_on_sale_from Date on sale from |
date_on_sale_from_gmt Date On Sale From GMT |
date_on_sales_to Date On Sales To |
date_on_sales_to_gmt Date On Sales To GMT |
on_sale On_Sale |
purchasable Purchasable |
total_sales Total_Sales |
virtual Virtual |
external_url Product external URL |
manage_stock Manage Stock |
stock_quantity Stock Quantity |
stock_status Stock Status |
backordered Backordered |
backordered_allowed Backordered Allowed |
sold_individually Sold Individually |
weight Weight |
dimensions_height Dimensions Height |
dimensions_length Dimensions Length |
dimensions_width Dimensions Width |
shipping_class Shipping Class |
shipping_required Shipping Required |
shipping_taxable Shipping Taxable |
reviews_allowed Reviews Allowed |
average_rating Average Rating |
rating_count Rating Count |
purchase_note Purchase Note |
categories_id Categories ID |
categories_name Categories Name |
tags_id Tags ID |
tags_name Tags Name |
image_date_created Image Date Created |
image_date_modified Image Date Modified |
image_date_created_gmt Image Date Created |
image_date_modified_gmt Image Date Modified GMT |
images_name Images Name |
images_src Images src |
images_id Images ID |
attributes_id Attributes ID |
attributes_name Attributes Name |
menu_order Menu Order |
id Id |
parent_id Parent Id |
status Status |
currency Currency |
version Version |
prices_include_tax Prices include tax |
total Total |
total_tax Total Tax |
total_shipping Total Shipping |
cart_tax Cart Tax |
shipping_tax Shipping Tax |
discount_total Total Discount |
payment_method Payment Method Id |
payment_method_title Payment Method Title |
billing_first_name empfindlich Billing First Name |
billing_last_name empfindlich Billing Last Name |
billing_company empfindlich Billing Company |
billing_address_1 empfindlich Billing Address line 1 |
billing_address_2 empfindlich Billing Address line 2 |
billing_city Billing City Name |
billing_state Billing State |
billing_postcode empfindlich Billing Postcode |
billing_country Billing Country |
billing_email empfindlich Billing Email |
billing_phone empfindlich Billing Phone |
shipping_first_name empfindlich Shipping First Name |
shipping_last_name empfindlich Shipping Last Name |
shipping_company empfindlich Shipping Company |
shipping_address_1 empfindlich Shipping Address 1 |
shipping_address_2 empfindlich Shipping Address 2 |
shipping_city Shipping City |
shipping_state Shipping State |
shipping_postcode empfindlich Shipping Postcode |
shipping_country Shipping Country |
customer_note empfindlich Customer Note |
customer_ip empfindlich Customer Ip |
customer_user_agent Customer User Agent |
subscription_number Subscription Number |
payment_url Payment URL |
line_items_id Line Items Id |
line_items_subtotal Line Items Subtotal |
line_items_subtotal_tax Line Items Subtotal Tax |
line_items_total Line Items Total |
line_items_total_tax Line Items Total Tax |
line_items_price Line Items Price |
line_items_quantity Line Items Quantity |
line_items_tax_class Line Items Tax Class |
line_items_name Line Items Name |
line_items_product_id Line Items Product Id |
line_items_sku Line Items Sku |
shipping_lines_id Shipping Lines Id |
shipping_lines_method_id Shipping Lines Method Id |
shipping_lines_method_title Shipping Lines Method Title |
shipping_lines_total Shipping Lines Total |
tax_lines_id Tax Lines Id |
tax_lines_rate_id Tax Lines Rate Id |
tax_lines_rate_code Tax Lines Code |
tax_lines_label Tax Lines Title |
tax_lines_total Tax Lines Total |
tax_lines_compound Tax Lines Compound |
customer_id Customer Id |
billing_period Billing Period |
billing_interval Billing Interval |
date_created Date Created |
date_modified Date Modified |
date_completed Date Completed |
date_paid Date Paid |
date_created_gmt Date Created GMT |
date_modified_gmt Date Modified GMT |
date_completed_gmt Date completed GMT |
date_paid_gmt Date Paid GMT |
start_date_gmt Start Date GMT |
trial_end_date_gmt Trial End Date GMT |
next_payment_date_gmt Next Payment Date GMT |
last_payment_date_gmt Last Payment Date GMT |
order_key Order key |
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Die meisten Teams verwenden mehrere Tools und „Spaghetti-Code“ für die Ingestion, abhängig von Quellentypen und Lademustern. Dataddo bündelt dies unter einer einzigen Steuerungsebene und einer vorhersehbaren Preisstruktur. Über 400 Konnektoren inklusive.
Betreiben Sie Dataddo sowohl in Cloud- als auch in hybriden On-Prem-Konfigurationen. Die Steuerungsebene verbleibt in der Cloud; Ihre Daten verlassen niemals Ihren Perimeter. Unterstützt segmentierte und private Netzwerke sowie Legacy-Systeme einschließlich DB2, Informix und Sybase.
Dataddo ist API-first entwickelt. Nutzen Sie die Benutzeroberfläche, wann immer Sie möchten; umgehen Sie sie vollständig, wenn Sie es nicht benötigen, und orchestrieren Sie Ihre Pipelines programmatisch.
Dataddo übernimmt die operative Verantwortung für Ihre Ingestion-Schicht. Wir verwalten die Konnektor-Wartung, behandeln API-Änderungen von Quellsystemen, überwachen Pipelines proaktiv und führen Backfills und Wiederherstellungen durch. Ihr Engineering-Team muss sich darum nicht kümmern.
Dataddo bietet Ihnen vollständige Observability über Ihre Ingestion-Schicht: Pipeline-Protokolle, Ausführungshistorien, Datenherkunft und Prüfpfade. Wissen Sie, was übertragen wurde, wann es übertragen wurde, was sich geändert hat und warum. Entwickelt für Umgebungen, in denen Nachvollziehbarkeit und Verantwortlichkeit keine Optionen sind.
Enterprise-KI setzt eine verwaltete, sichere Datenschicht voraus. Dataddo konsolidiert SaaS-, Datenbank- und Dateidaten in einer einheitlichen verwalteten Pipeline und liefert an Vektordatenbanken, Feature Stores und Data Lakes – mit nativem Hashing sensibler Daten.
3x
Schneller
Daten
Sammlung
2.5
Manntage
pro Woche
gespeichert
3.5
Arbeitsstunden
pro Woche eingespart
zur Datenerhebung
Amalia Bornstein
Global Social Content and Marketing Data Analyst
Uber Eats
“Das Datenteam von Uber Eats schätzt die benutzerfreundliche Oberfläche von Dataddo, die für die Bedienung durch technisch nicht versierte Teammitglieder konzipiert ist, um den Bedarf an übermäßiger Schulung zur Unterstützung einer effizienten Projektabwicklung zu minimieren.”
Andrew Hart
Chief Operations Officer
Sat 7
“Die Zusammenarbeit mit Dataddo hat unsere Berichterstattung erheblich vereinfacht und uns Zugang zu Trenddaten und Erkenntnissen verschafft, die wir zuvor nicht generieren konnten.”
Vahan Petrosayan
Director of IT & Infrastructure
Search Engine Journal
“Mit Dataddo werden alle meine Fragen schneller beantwortet …[und es macht] jetzt Spaß, mit Daten zu spielen.”
Michael Guntenaar
CTO
ID&T Group
“Dataddo öffnet Tore und nimmt die Hürden bei der Arbeit mit Daten.”
Laurent Partouche
CPO
FoodChéri & Seazon
“Wir haben uns für Dataddo aufgrund seiner Benutzerfreundlichkeit, automatischen Transformationen, klaren Preispolitik und der Qualität der menschlichen Beziehung entschieden, die sich seit unserem ersten Austausch etabliert hat.”
Natheer Maloon
Technology Solutions Manager
Boldr
“Die Unterstützung von Dataddo erwies sich während der gesamten Implementierungsphase als äußerst wertvoll. 9,5 von 10.”
Zdeněk Hejnak
Data Development Team Leader
Livesport
“Wir sparen etwa 70 % der Zeit, die sonst für die Aufnahme aller unserer Daten benötigt würde, oder 3–4 Vollzeitäquivalente, und verbringen viel mehr Zeit mit der Datenanalyse und -aktivierung. Wir haben nur einen Vollzeit-Dateningenieur, der mehr tut, als nur Daten zu sammeln, während unser BI-Team aus 11 Mitgliedern besteht.”
Greg Senior
Business Operations Manager
Farm Focus
“Vielen Dank für all die Hilfe und Unterstützung, die wir erhalten. Ein erfrischender Service von einem Technologieunternehmen! Danke schön!”