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Data Platform Accelerator

Impetus Data Platform Accelerator (DPA) can help you create data lakes with speed and ease. With its intuitive self-serve dashboard, users can effortlessly create and manage multiple data lakes while maintaining complete control over their lifecycle. The accelerator provides pre-built pipelines for seamless data ingestion and curation across meticulously governed data zones, guaranteeing data quality assurance insights at every step of the data state transformation.

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About

Do you want to create a data platform but are the time and cost of creation and hydration weighing you down?

Are you struggling to unlock meaningful insights from petabytes of data from multiple sources?

Are underlying architecture and service integration complexities holding you back from setting up a data platform on AWS?

The Impetus Data Platform Accelerator offers a comprehensive solution tailored to your unique business needs. It seamlessly integrates key functionalities from data lake provisioning to data extraction, breaking down silos, integrating analytics, and preparing data for actionable insights and visualization reports. Throughout this transformative journey, the accelerator ensures data privacy and security.

Key features:

Data platform management dashboard: Create a data lake in a few clicks with minimal configuration. Add new data sources to your existing platform, clone or delete platforms with an intuitive user interface.

Automated data extraction: Kickstart data platform creation by directing the accelerator to your raw data bucket's location. Automate data extraction from various RDBMS sources like MySQL, PostgreSQL, Oracle DB, MongoDB, Azure SQL, GCP MySQL, IBM DB2, etc.

Change Data Capture (CDC): Enjoy continuous data replication to ensure up-to-date information.

Data catalog: Enable easy and efficient data discovery with a centralized data catalog spanning across all layers of the data lake.

Data quality and transformation: Normalize and curate data with a low-code, no-code, configuration-driven method. Design your own data quality rules or choose from built-in data quality checks and transformation rules.

Automated technical metadata discovery and visualization: Visualize technical metadata and gain deeper insights into your data.

Data lineage: Gain a visual representation of your data lineage to understand data origin and transformation.

Data security and encryption: Provide your encryption keys or utilize the default encryption methods to ensure data security and encryption at rest and in transit.

Data governance: Leverage the governance portal to ensure data privacy with the highest level of granularity, using robust access control mechanisms such as Record-Level Access (RLA) and Column-Level Access (CLA).

Automated data ingestion: Seamlessly ingest your business-ready data into various data warehouse platforms, including Amazon Redshift, Snowflake, Apache Hive, and more.

Analytical reports & data visualization: Derive meaningful insights from your data with support for analytical reports and data visualization using Amazon QuickSight.

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