About Treasure Data
Treasure Data operates with customer data for large tech companies, including those from Fortune 500 list. This managed cloud service is also widely used by innovators in other industries, like retail, eCommerce, advertising, and more.
Treasure Data is a customer data platform for marketing segmentation and personalization. By automating data collection and data processing, it helps its users overcome information overload and gain a dynamic look at their customers. It is a data-driven client personalization with 360° view.
This platform provides access to 1st, 2nd, and 3rd party data, including past data and current activities. Data from different sources are being unified, which reduces the need for data cleaning. It enables users to get and maintain a singular customer view, which is the solid basis for a successful marketing campaign.
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About AtScale
AtScale is the leading provider of intelligent data virtualization for big data analytical workloads, empowering citizen data scientists to accelerate and scale their business’ data analytics and science capabilities and ultimately build insight-driven enterprises.
AtScale connects people to live disparate data without the need to move or extract it, leveraging existing investments in big data platforms, applications and tools. AtScale creates automated data engineering using a single set of semantics so consumers can query live data (either on premise or in the cloud) in seconds without having to understand how or where it is stored—providing security, governance and predictability in data usage and storage costs.
Features:
- Design Canvas: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.
- Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.
- Universal Semantic Layer: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.
- Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.
- Virtual Cube Catalog: A gateway to data that is easily discoverable and frictionless—and available to use every day, en masse.
Benefits:
- No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.
- Automatic “smart” aggregate creation: AtSacle’s intelligent aggregates adapt to the data model and how it is used, automating the data engineering tasks required to support those activities and reducing time spent from weeks to hours.
- Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.
- No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.
- Data-as-a-service: AtScale allows metadata to be created once, with centrally defined business rules and calculations, exposing data assets as a service.
- Data platform portability: Models built in AtScale are portable, with no need to recreate them for different platforms. AtScale can easily be repointed to new data platforms, making migration seamless to business users.
- Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.
- Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.
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Summary
Pre-built Connectors
Support for Real-Time and Batch Integration
Data Quality Services
Data Security Features
Monitoring Console
Unified Data For a 360° View of Your Customer
Continuous Data Integration For Pull and Push Transmission
Marketing Automation at Scale without Custom Engineering
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Summary
No data movement: AtScale is agnostic to data platforms and data location, whether on-premises or in the cloud, in a data lake or a data warehouse.
Use your existing BI and AI tools: AtScale provides access to live, atomic-level data without the user needing to understand where or how to access the data, so you can keep using your tools of choice.
No more extracts or shadow IT: AtScale eliminates the need for extracts with a single, consistent, governed view of live data, regardless of which BI and AI tools are used.
Faster time-to-insight: AtScale reduces time-to-insight from weeks and months to minutes and hours. AtScale virtual models can be created and deployed in no time, with no ETL or data engineering.
Future-proof your data architecture: AtScale alleviates the complexities of data platform and analytics tool integration, making cloud, hybrid-cloud and multi-cloud data architectures a reality without compromising performance, security, agility or existing governance and security policies.
Design CanvasTM: AtScale’s Design Canvas visually and intuitively connects to any data platform, allowing you to create virtual multidimensional cubes without ETL.
Universal Semantic LayerTM: A workspace with a Design Canvas for your data consumers to define business meaning and get a single-source-of-truth.
Autonomous Data Engineering: Just-in-time query optimization that anticipates the needs of the data consumer.
Security & Data Governance: Centralized security policy to decentralize access using the tenants of Zero Trust.
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FAQs
What are some applications this service is commonly used in tandem with?
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This service is commonly used in tandem with CRM and cloud storage applications.
What is this service generally used for?
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This service is used for customer data analytics.
Does this service offer guides, tutorials and or customer support?
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Support: Community, FAQ, Knowledgebase, Video Tutorials, Webinars, Phone, Live Chat, Email.
Does this service offer an API?
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Treasure Data’s REST API makes it easy for users to POST to or GET data from a company’s cloud data warehouse.
Who are the main user groups of this service?
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Main users of Treasure Data are medium-sized and large enterprises, including those from Fortune 500 list.
What platforms does this service support?
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This is a SaaS platform.
Does this service integrate with any other apps?
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Integrations: Marketo, Segment.io, Mixpanel, TUNE Marketing Console, Google Analytics, AppsFlyer, adjust, Amplitude Analytics, Chartio, Tableau Desktop, Tableau Server, Looker, Domo, Adobe Analytics, Heap, Hadoop, Amazon Redshift, App Annie, Microsoft Power BI, Tableau Online, Pentaho, Metric Insights, Microsoft Office 2016, Microsoft Azure, Google Cloud Storage, Google Drive, Intercom, Zendesk, Elasticsearch, MongoDB, Google BigQuery, Microsoft SQL Server, PostgreSQL, Snowflake, MySQL, MariaDB, Docker, Heroku, Stripe, MailChimp, Salesforce Marketing Cloud Email Studio, Oracle Eloqua, Pardot, HubSpot, Oracle Responsys, NetSuite, DoubleClick, Facebook for Business, Sizmek, AdRoll, Acxiom LiveRamp Connect, Datorama, Twitter Ads, Google Tag Manager, salesforce sales cloud, kafka, Amazon Kinesis, hive mall, jupyter, pandas, R, mLab, fluentd, JDBC, Luigi, Python, Rest API, informatica, ruby, branch, eyeota, instagram Ads, xbee, MQTT, RaspberryPi, Serial Devices, CSV, FTP, Webhooks, mysql workbench, razorSQL, SQuirreL SQL, iOS, Android, Unity, Unreal Engine.
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FAQs
What platforms does this service support?
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Any data platform, any BI tool.
What is this service generally used for?
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Single view of enterprise data with no data movement, self-service BI and analytics.
Does this service offer multi-user capability (e.g. teams)?
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Yes.
Who are the main user groups of this service?
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Information Technology, Business Intelligence, Data Science
Does this service offer guides, tutorials and or customer support?
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Customer support, technical guides.
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