Intelligent Data Cataloging for Cloud Data Warehouses, Data Lakes, and Lakehouses

Posted on 8 February, 2022 by PartnerBO

Considering the level of efficiency and convenience the cloud brings with it, it is no surprise that organizations today are rapidly shifting their data and analytics to the cloud. Although by moving applications to the cloud, companies can scale on capabilities and reduce or eliminate costs of all aspects of data analytics, it is also very important for data warehousing and data lakes.

Enterprise data analytics have relied on traditional enterprise data warehouses and reporting systems for years now and it’s high time that companies are making efforts to make a shift to the cloud to obtain dramatic performance gains and competitive advantage.

Simultaneously, enterprises are implementing cloud data lakes to complement their cloud data warehouses and are also developing cloud lake houses, which bring together the best out of data warehouses and data lakes to deliver analytical capabilities for everything from business intelligence dashboards to advanced AI and machine learning initiatives.

Like every other aspect of technological advancements, this shift to the cloud also brings with it certain challenges that must be addressed. Although shifting to a cloud data warehouse, data lake or lake houses may seem pretty simple, a systematic and efficient strategic plan is required to pave your path of achieving maximum returns on your investments. Irrespective of whether you are shifting from an enterprise warehouse, data lake, or lakehouse to a cloud or just improving and updating your data and workloads in the cloud over time, you need to have a clear idea of your current data landscape in either of the cases. You need to ensure that you have all the tools needed to manage your data in the cloud in place and you abide by the recommended best practices.

The Informatica® Intelligent Cloud Lakehouse Data Management Solution for Cloud Analytics addresses all of these challenges in the most efficient way. It is based on industry-leading data integration, quality and governance, and metadata management technologies. With machine learning-based data asset identification and end-to-end visibility, Informatica Enterprise Data Catalog delivers the metadata management foundation you need to assess your current data landscape. Informatica Intelligent Cloud ServicesSM (IICS) offers the best-in-class enterprise iPaaS services for cloud data integration, cloud mass ingestion, and cloud data quality.

Having machine learning capabilities in complete control of complete metadata management, the Informatica Enterprise Data Catalog delivers a standard enterprise metadata foundation for intelligent, automated, end-to-end visibility and lineage throughout your environment. The solution allows you to connect on-premises data repositories to your current cloud ecosystem so that your users are abstracted from the complexity of the process and you get the most out of your data.

Features and Capabilities:

• Broad Metadata Connectivity

Informatica’s Intelligent Cloud Lakehouse Data Management Solution connects with all the industry-leading cloud ecosystems and data warehouses, including but not limited to, Amazon Redshift, Amazon S3, Microsoft Azure Synapse Analytics, Google BigQuery, Snowflake, and Databricks. Additionally, it also offers metadata connectivity access across hundreds of cloud services, on-premises systems, corporate and middleware applications, data repositories, and analytical business intelligence tools.

• Data Discovery Powered by Machine Learning

CLAIRE®, Informatica's metadata-driven artificial intelligence engine, applies AI and machine learning algorithms to technical, business, operational, and usage data, to automate the understanding and parsing of complex files and metadata, facilitating the discovery of data across a complex, multi-cloud environment.

• End-to-End Data Lineage Automation

Lineage provides you a quick view of the complete data flow process including its origination, movement, and transformation. It allows you to know the usage and dependency of the data based on its movement from source to destination. The solution provides you with an elaborate impact analysis of your data assets, based on which you can understand the impact of migration and perform a cost-benefit analysis of moving certain data assets and workloads to the cloud.

• Collaboration and Social Assistance

Shifting your enterprise data warehouse, data lake, or lake house to the cloud involves multiple stakeholders and users. Data owners and subject matter experts may certify data assets and make migration decisions using Informatica Enterprise Data Catalog's collaboration and social curation capabilities. It also allows consumers to rank and review data assets, as well as add custom attributes and annotations to simplify the identification of reliable data before and after migration.

• Integrated Informatica Enterprise Data Catalog

Informatica Enterprise Data Catalog integrates with the IICS data management services interface. For multi-cloud environments, IICS Cloud Data Integration delivers high-performance ETL, ELT, data ingestion, synchronization, and replication. IICS Cloud Data Quality allows you to swiftly resolve and monitor data quality concerns. Informatica Enterprise Data Catalog can be used from within IICS for:

- Locating and selecting data

- Viewing data sources and mappings

- Viewing data quality rules and scorecards

- Receiving comprehensive visibility

•  Preconfigured Mappings

Preconfigured mappings and user-friendly interfaces minimize the time taken for migrating data to the cloud. Informatica Enterprise Data Catalog integrates with IICS to facilitate the location and migration of data to your cloud warehouse. With IICS Cloud Data Integration's visual designer, you can build simple to complicated data loads in just a few clicks.

Key Benefits:

• Optimum and Uninterrupted Cloud Data Warehouse, Data Lake, and Lakehouse Value

Get a better assessment of your data landscape for achieving the optimum value from your cloud data warehouse, data lake, or lake house. Additionally, you get a better understanding of relationships and dependencies and easily find data for analytics. Informatica Enterprise Data Catalog ensures a smooth and uninterrupted migration to the cloud. End-to-end lineage views confirm the appropriate data mapping and metadata-driven automated data discovery and curation facilitates scalable data governance and allows for cloud distribution of trusted data.

• Minimize your cloud migration and modernization time

Speed up your development using a visual mapping designer that connects diverse endpoints with pre-built transformations, to build required integration loads.

• Leverage Industry-Leading Metadata Management for a Better Visibility of Your Organization’s Assets

The Informatica solution uses industry-leading metadata management capabilities, providing you access to hundreds of connectors for cloud-based and on-premises systems. It allows smooth data migration by providing better visibility of all of your organization’s assets. Additionally, it captures and stores critical metadata to maintain the same relationships during and after data migration and modernization in the cloud.

 • Simplified Discovery of Relevant and Trusted Data in the Cloud

Data analysts and scientists must have a clear understanding of the location of data to choose appropriate data assets as per their needs. Informatica Enterprise Data Catalog enables users to easily and efficiently locate their data, without any additional help.

As Informatica expands its Cloud product portfolio by introducing state-of-the-art cloud data management solutions, PartnerBO assists customers in the life cycle required to use it. As a data management and analytics System Integration & Solution company, we are transforming the way companies manage and leverage data. Whether you are a new cloud deployment or need to migrate from on-premise or other integration, PartnerBO, through strong partnership, innovative, purpose-built solutions, helps you along your data integration journey.