Build trust in your data by integrating legacy data into Databricks and leveraging location to organize and enrich your data for analytics and AI initiatives
Data Integrity in Databricks
Your organization needs data with maximum accuracy, consistency, and context to accelerate innovation through analytics, AI, and machine learning projects. However, it can be a challenge to get the results you want if you cannot trust the integrity of your data. Together, Databricks and Precisely can help you achieve data integrity and fuel the success of your data-driven initiatives.
Precisely Connect quickly breaks down data silos by integrating legacy mainframe and IBM i data into Databricks Lakehouse platform. With one data integration solution, you can create seamless workflows that simplify delivery of critical data assets and enable you to easily move data when and where you need it with no business disruption.
Many companies also struggle to unlock the value of the growing volume of data they’re placing in Databricks. Location, such as an address or mobile phone location, can provide a consistent and common thread that connects disparate data. Precisely’s location intelligence capabilities run natively in Databricks to give you a straightforward approach to organizing, managing, and analyzing data for enhanced business insights.
Your organization is using Databricks Lakehouse platform for analytics, AI, and machine learning projects. However, obtaining full visibility into all critical data is one of the most challenging aspects of these initiatives. The risk of missing critical data is especially high for organizations dealing with data silos, expanding data volumes, and incompatible data formats.
Precisely Connect and Databricks work together to help you to address these challenges. Connect collects the data you need from all your legacy data stores and sends it to the scalable Databricks framework powered by Apache Spark. Connect not only has native Spark integration, it also has a design once, deploy anywhere architecture so you never have to worry about rebuilding applications on standalone server environments for use in Databricks. Moving applications is as easy as clicking a dropdown menu. Connect sources/targets include:
- Mainframe data: VSAM, COBOL Copybooks, mainframe fixed and sequential files
- RDBMS: Oracle, SQL, Db2, MySQL, Sybase, PostgreSQL
- Semi-structured data: JSON, XML
- Enterprise data warehouses: Teradata, IBM Netezza, Vertica, Greenplum
- Cloud: Amazon AWS, Microsoft Azure, Google Cloud Platform
- Big Data: Hadoop, Hive
- Streaming platforms: Apache Kafka
- Flat files: Fixed length, variable length, delimited
Connect also scales with your Databricks investment – giving you an end-to-end managed approach for offloading data. Use Connect to easily collect, blend, transform and distribute data across the enterprise.
Together, Precisely and Databricks eliminate data silos across your business to get your high value, high impact, complex data to the cloud.
Bringing varied data together in the Databricks Lakehouse platform enables you to manage and govern your data and drive your business initiatives from a single source of data in the cloud. However, the rate at which new data is being generated from rich media sources, IoT devices, and daily communication channels can cause challenges accessing, leveraging, and trusting critical details for business insight and decision-making.
Precisely can help you build trust that your data has maximum accuracy, consistency, and context by leveraging the address data in your Databricks environment. Attach a unique and persistent location identifier, the PreciselyID, or a geohash to an address to connect it to other property or location data for a composite view of the address. Using the PreciselyID or geohash, you can also quickly enrich addresses with expertly curated datasets, such as risk, property, consumer, and point of interest data, to add meaningful context to your analytics, AI, and ML outcomes.
Leveraging Databricks computing, deliver complex spatial processing – such as drivetime or travel distance – without disrupting your mission-critical business processes. And rapidly reveal relationships between addresses, geographic features, nearby services, and market variables to quantify inherent risks and market potential. Common examples include financial institutions that pre-score property value based on nearby services and demographics or a telco analyzing current network coverage and customers to target growth opportunities.
Using geospatial data, you can connect, harmonize, and analyze a wide variety of data to drive business insight. Precisely’s Geocoding, Location Intelligence, and Routing Spatial SDKs running in the Databricks Lakehouse platform, gives your business data the location advantage with the most complete set of proven address management, geocoding, and location analytic capabilities while leveraging the performance outcomes realized in Databricks. Reveal insights by connecting disparate datasets using the PreciselyID. Together, these capabilities help organize, manage, and analyze business data in ways that yield actionable insights, grow your business, protect it from risk, and create a competitive advantage.