DATA PIPES' FEATURES
Ingest, govern & analyse data from a single platform
Data Pipes creates a shared repository of trusted data, so that anyone in the organisation can start analysing and sharing data with clear indication of data ownership
Your tools & your rules
Data Pipes comes with an extensive list of pre-built data source connectors for on-premises and cloud databases, SaaS applications, documents, NoSQL sources, and more to quickly load data into your cloud data environment.
SUPPORTED DATA SOURCES
Comprehensive out-of-the-box integration to get to data value quickly.
Perfectly replicate data in minutes with minimal load on the source systems.
Understand your data with end-to-end data visualization & granular analysis.
Discover, sort, and organize all your data intelligently
At the core of Data Pipes is the Data Catalog that provides users with a shared repository of trusted data. Searchable like Google, it allows users to discover and search for existing data, create and edit any metadata from the datasets.
Shared repository of trusted data
Metadata creation from datasets
The automated Data Lineage helps users understand where the data is coming from and how it is being used, to validate that they are working with the right data.
Automated data lineage
Direct integrations with cloud-hosted analytical tools allows users to go directly from the catalog to data analysis, machine learning modelling and sharing them with users across the organization.
Cloud-hosted analytical tools
Transition from data cataloging to machine learning modelling
Gain peace of mind with complete auditability
Data Pipes provides a powerful suite of tools to control access to data for all users. Authorized users can create rules that grant users access to data based on their Role & Department, these rules can grant or deny access to specific tables, and individual columns and rows.
Create data access rules to prevent misuse of data
Grant access according to roles & departments
Create rules specific to individual tables, columns
Individual columns in Data Pipes can be marked as classified, this allows rules to be easily created to deny access for unauthorized users to classified data.
Create data access rules
Protect data from unauthorised users
Data Pipes automatically keeps an audit trail of data access and permission changes by the users in real-time. These audit trails can be easily exported for any audit purposes.
Real-time audit updates
Change log for rule & permission changes
Quick & seamless exports
Replicates data using state of the art CDC technology
With a no code interface, Data Pipes users can create data ingestion pipelines from a variety of data source connectors such as SQL databases, CSV, IoT and REST API. Data Pipes supports Change Data Capture from RDBMS, which can reduce the bandwidth requirements for replication by a factor of 1000.
Easy to use no code interface
Variety of source connectors
State-of-the-art CDC technology
Before the data reaches the data lake during ingestion, Data Pipes provides direct integration with cloud hosted data preparation tools for users to clean, normalize and prepare data from an intuitive user interface.
Cloud hosted data preparation tools
Clean, normalize & prepare data for data replication
During Ingestion, Data containing Personally Identifiable Information (PII) is automatically identified and users can select how data containing PII can be masked, tokenized or tagged.
Automatically tagging of PII data
Mask, tokenised & classify PII data
Make data-driven decisions and build data enabled products
Trust your data
Understand the full context of your data. Know where your data is coming from, how it is being used and who is using them.
Built for collaboration
Quickly go from data discovery to analysis and easily share insights and machine learning models across the organization
Secure by Design
Organize and manage your data to enable access only to the authorized users. Foster accountability in data use and promote data ethics.
“CloudCover and Data Pipes help align the data-driven culture we’re building at Civil Service College by fostering collaboration on data across all internal and external segments of the organization.”
Dr. Loke Chok Kang
Head of Data Office at Civil Service College.