New yr, new integrations to announce! We’re excited to introduce 5 new additions to Databricks Accomplice Join– a centralized portal that will help you discover and combine knowledge, analytics, and AI options together with your Lakehouse. We’re joyful to share that we have added our first companions for each the Information Governance and Information Safety classes in Accomplice Join! We’re additionally persevering with so as to add Information Ingestion, Semantic Layer and BI and Visualization companions. This reinforces our dedication to offering progressive accomplice options that reach the breadth and depth of the Databricks Lakehouse Platform by means of Accomplice Join.
Study extra about these 5 new integrations beneath!
Information Safety
Privacera
Privacera is a unified Information Safety Platform that integrates delicate knowledge discovery, masking, encryption, compliance workflow, audit, and fine-grained knowledge entry management throughout the Databricks Lakehouse Platform, together with Unity Catalog and Databricks SQL. Privacera’s new connector to Unity Catalog allows clients to handle knowledge entry, together with integration with IAM options for attribute-based entry management (ABAC), knowledge tags for tag-based entry management (TBAC), file and object degree entry management, dynamic row degree filtering, in addition to column degree knowledge entry, masking, and encryption. These options allow constant and simplified entry and safety insurance policies to be utilized throughout Databricks workspaces. Study extra in regards to the Privacera and Databricks partnership right here.
Information Governance
erwin by Quest
erwin by Quest supplies the instruments wanted that will help you fast-track your Databricks migration, design and optimize the lakehouse knowledge fashions you use, and effectively catalog and govern knowledge throughout a number of knowledge platforms. Use erwin Information Modeler by Quest to auto-convert legacy knowledge fashions to be used in Databricks and rapidly design and evolve new Lakehouse knowledge fashions utilizing market-leading knowledge modeling capabilities like mannequin comparability. Ingest Databricks metadata from Databricks Unity Catalog into the erwin Information Catalog to auto-document end-to-end knowledge lineage and achieve knowledge high quality visibility, affect evaluation and extra throughout your knowledge panorama. Enrich collected metadata with enterprise context and governance, and ship business-friendly knowledge discovery, knowledge literacy and threat compliance throughout your group. Study extra about utilizing erwin by Quest right here.
Information Ingestion
Hevo Information
Automate and simplify your knowledge integration course of with Hevo Information. This no-code, user-friendly ELT platform helps you arrange dependable knowledge pipelines on your Databricks Lakehouse in minutes, with entry to 150+ plug-and-play connectors, together with fashionable SaaS purposes, enterprise instruments, and databases. With Hevo Information, your workforce saves hours of engineering time and enjoys entry to superior ELT options like automated schema mapping, change knowledge seize, post-load transformations, and extra. Now you can ship knowledge to your small business workforce in close to real-time! Join for a free trial at the moment.
BI and visualization
Sigma
Sigma is a cloud-native exploratory analytics platform with a well-recognized spreadsheet-like interface. At present, roughly one billion individuals use spreadsheets month-to-month. Sigma breaks down knowledge silos and allows knowledge groups and enterprise analysts to align round a unified knowledge language. Sigma leverages the Databricks SQL Driver for Go and lets customers connect with the Databricks Lakehouse Platform in seconds, accelerating time to perception and eradicating language obstacles between knowledge and enterprise groups. Study extra in regards to the integration right here.
Semantic Layer
AtScale
AtScale allows smarter decision-making by accelerating the circulate of data-driven insights. The AtScale semantic layer platform simplifies, accelerates, and extends enterprise intelligence and knowledge science capabilities for enterprise clients throughout all industries. With AtScale, clients are empowered to democratize knowledge, implement self-service BI, and construct a extra agile analytics infrastructure for higher, extra impactful decision-making. Get began with AtScale on Databricks through Accomplice Join, together with an interactive getting-started information out there solely on Databricks Accomplice Join. To be taught extra in regards to the AtScale and Databricks partnership, watch this on-demand webinar.
Buyer highlight
Greenland Capital Administration improves monetary evaluation utilizing Sigma and Databricks in its trendy knowledge stack
Greenland Capital Administration, a small hedge fund, makes use of Sigma for its pace, scale and ease of use. Considered one of Greenland’s foremost resolution standards included knowledge self-service to create dwell dashboards, P&L calculations, and most significantly, making certain robust knowledge governance throughout the group. The Databricks and Sigma integration additional enabled the info science workforce to entry real-time knowledge sooner, securely, and extra precisely, enabling improved monetary modeling.
“Greenland has been considerate in its strategy to its knowledge stack. We wanted a platform to bridge the hole between our knowledge warehouse, our knowledge catalog, and, finally, the evaluation we do on a day-to-day foundation. Partnering with Databricks and Sigma allowed us to arrange, discover and analyze our knowledge with a view to ship knowledge outputs for common consumption.”
– Nan Xiao, Chief Know-how Officer at Greenland Capital Administration
Get began with Accomplice Join
Join for a free trial of Databricks to strive Accomplice Join at no further value, and hold an eye fixed out as we unveil extra integrations within the coming months.
