Amazon Aurora is a fully managed relational cloud-based database offered by Amazon Web Services (AWS), for which MANTA offers a powerful scanner. This PostgreSQL-compatible and ACID-compliant relationship database engine has the availability and performance of a commercial grade database. MANTA can connect to the Amazon Aurora resource to extract and analyze pertinent metadata within the selected databases. This metadata includes but is not limited to the Amazon Aurora data dictionary, scripts, views, and both SQL and PL/pgSQL functions. MANTA also supports custom types in Amazon Aurora. MANTA can parse all the programming code and logic stored within, allowing MANTA to generate lineage down to the column level while showing all transformation logic associated with individual column elements.
Unlock the Full Power of Amazon Aurora with Data Lineage from MANTA
For lineage, MANTA currently supports Amazon Aurora for PostgreSQL. MANTA’s ability to accurately represent end-to-end lineage describes the flow of data into and through the Amazon Aurora database. This provides visibility between on-premise and cloud applications, as well as reporting and analytics technologies. Reviewing MANTA’s lineage allows organizations to see their database servers, reporting platforms, and ETL systems, which can uncover redundant assets and allow companies to reduce costs by optimizing their technology footprint. Tracking usage of assets further empowers organizations to safely decommission assets, as well as plan for cloud migration and improve data governance observability.
Amazon Aurora integrates with other AWS services such as Amazon Redshift and Amazon Relational Database Service (RDS). While Amazon Aurora has many similarities to RDS, it also has many exclusive features.
MANTA currently scans:
- Data Dictionary
- Functions (SQL and PL/pgSQL)
- Custom types
Frequently Asked Questions
What is a data lineage scanner?
A data lineage scanner connects to database repositories, ETL tools, reporting tools, and other types of source technology to document how data flows, transforms, and impacts assets both downstream and upstream as well as where the data is sourced from, making it possible to gain full visibility and control over even the most complex data pipelines.
How flexible is MANTA when it comes to possible integrations?
Can I integrate MANTA with my CICD pipeline?
Yes, MANTA can be utilized as a component of a CICD pipeline to supplement teams’ development efforts.
How can MANTA integrate with my data intelligence?
You can boost your data intelligence efforts with detailed, accurate, and up-to-date data lineage provided by MANTA. MANTA has a robust API for developing integrations with data intelligence tools.
Can I integrate MANTA with my data privacy tool?
Yes, you can leverage MANTA’s comprehensive data lineage to build trust in data, ensure data security, and adjust your data privacy policies. MANTA has a robust API for developing integrations with data privacy tools.
Can I integrate MANTA with my profiling tool?
You can utilize MANTA’s detailed lineage and unique features for data profiling and achieving better data quality. MANTA has a robust API for developing integrations with data profiling tools.
How can MANTA integrate with my metadata management tool?
MANTA has OOTB connectors to all the major players in the data governance/cataloging space. MANTA also can export its repository to consumable formats for unsupported third-party metadata management applications. Please visit MANTA’s Integrations page to find a full list of supported data governance tools/catalogs.
Does MANTA work with various ETL orchestrations?
There will always be technologies on the market that don’t have supported scanners provided by MANTA. In order for the lineage from unsupported technologies to be represented in MANTA visualization diagrams, MANTA provides a framework called Open MANTA. The Open MANTA framework makes it possible to define and manage lineage generated by unsupported technologies.
How can I improve lineage data quality?
When you have a complete overview of all your data flows, sources, transformations, and dependencies, you have control of your data assets. You can speak to the accuracy and quality of your data and have confidence in your data information and reports. By giving you a full overview of how your data moves across systems, where it originated, how it transforms along the way, and how it’s interconnected, data lineage can help you to ensure the quality of your data, reinforce your overall data management strategy, and increase trust in your data.
What is the purpose of data lineage?
Data lineage helps you tame data complexity and gives you a full overview of how your data moves across systems, including where it originated, how it transforms along the way, and how it’s interconnected. Such an overview will help you boost your data governance efforts, increase overall trust in data, achieve full regulatory compliance, accelerate root cause and impact analyses, roll out our frequent bug-free releases, painlessly migrate to the cloud, and more.
Get to Know Your Data’s Complete Story with Data Lineage
Metadata—data about your data—holds necessary information that helps you unlock valuable insights. Insights that will allow you to fully understand your data and get rid of anecdote-driven decisions and processes once and for all.