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Privacera is a unified Data Security Platform that integrates sensitive data discovery, masking, encryption, compliance workflow, audit, and fine-grained data access control across the Databricks Lakehouse Platform, including Unity Catalog and Databricks SQL. Privacera's new connector to Unity Catalog enables customers to manage data access, including integration with IAM solutions for attribute-based access control (ABAC), data tags for tag-based access control (TBAC), file and object level access control, dynamic row level filtering, as well as column level data access, masking, and encryption. These features enable consistent and simplified access and security policies to be applied across Databricks workspaces. Learn more about the Privacera and Databricks partnership here.Data Governanceerwin by Quest
erwin by Quest provides the tools needed to help you fast-track your Databricks migration, design and optimize the lakehouse data models you employ, and efficiently catalog and govern data across multiple data platforms. Use erwin Data Modeler by Quest to auto-convert legacy data models for use in Databricks and quickly design and evolve new Lakehouse data models using market-leading data modeling capabilities like model comparison. Ingest Databricks metadata from Databricks Unity Catalog into the erwin Data Catalog to auto-document end-to-end data lineage and gain data quality visibility, impact analysis and more across your data landscape. Enrich collected metadata with business context and governance, and deliver business-friendly data discovery, data literacy and risk compliance across your organization. Learn more about using erwin by Quest here.Data IngestionHevo Data
Automate and simplify your data integration process with Hevo Data. This no-code, user-friendly ELT platform helps you set up reliable data pipelines for your Databricks Lakehouse in minutes, with access to 150+ plug-and-play connectors, including popular SaaS applications, business tools, and databases. With Hevo Data, your team saves hours of engineering time and enjoys access to advanced ELT features like automated schema mapping, change data capture, post-load transformations, and more. You can now deliver data to your business team in near real-time! Sign up for a free trial today.BI and visualizationSigma
Sigma is a cloud-native exploratory analytics platform with a familiar spreadsheet-like interface. Today, approximately one billion people use spreadsheets monthly. Sigma breaks down data silos and enables data teams and business analysts to align around a unified data language. Sigma leverages the Databricks SQL Driver for Go and lets users connect to the Databricks Lakehouse Platform in seconds, accelerating time to insight and removing language barriers between data and business teams. Learn more about the integration here.Semantic LayerAtScale
AtScale enables smarter decision-making by accelerating the flow of data-driven insights. The AtScale semantic layer platform simplifies, accelerates, and extends business intelligence and data science capabilities for enterprise customers across all industries. With AtScale, customers are empowered to democratize data, implement self-service BI, and build a more agile analytics infrastructure for better, more impactful decision-making. Get started with AtScale on Databricks via Partner Connect, including an interactive getting-started guide available exclusively on Databricks Partner Connect. To learn more about the AtScale and Databricks partnership, watch this on-demand webinar.Customer spotlightGreenland Capital Management improves financial analysis using Sigma and Databricks in its modern data stackGreenland Capital Management, a small hedge fund, uses Sigma for its speed, scale and ease of use. One of Greenland's main decision criteria included data self-service to create live dashboards, P&L calculations, and most importantly, ensuring strong data governance across the organization. The Databricks and Sigma integration further enabled the data science team to access real-time data faster, securely, and more accurately, enabling improved financial modeling."Greenland has been thoughtful in its approach to its data stack. We needed a platform to bridge the gap between our data warehouse, our data catalog, and, ultimately, the analysis we do on a day-to-day basis. Partnering with Databricks and Sigma allowed us to organize, explore and analyze our data in order to deliver data outputs for general consumption."
- Nan Xiao, Chief Technology Officer at Greenland Capital ManagementGet started with Partner ConnectSign up for a free trial of Databricks to try Partner Connect at no additional cost, and keep an eye out as we unveil more integrations in the coming months.Try Databricks for freeGet StartedRelated postsLaunching dbt Cloud in Databricks Partner ConnectApril 14, 2022 by Bilal Aslam, Hiral Jasani, Shant Hovsepian, Dave Eyler, Daniel Rosenthal and Bemnet Merha in Partners
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