July 2024 Summaries

Fivetran is a data integration solution that helps enterprises overcome challenges with SAP data by providing an easy-to-use platform and support for various data destinations. Companies like Cemex, Gill Capital, and Pitney Bowes have successfully used Fivetran to streamline their SAP data processing, reduce time to insights, and gain real-time visibility into their operations. By leveraging Fivetran's high-volume replication capabilities, these companies were able to process large amounts of SAP data quickly and efficiently, enabling them to make data-driven decisions and drive business success. With Fivetran, SAP customers can overcome the limitations of SAP's monolithic design and proprietary nature, unlocking the full potential of their SAP data.

SAP is the world's largest enterprise application software company, with its customers generating 87% of global commerce using SAP's ERP solutions. However, enterprises are eager to use their SAP data outside the SAP ecosystem due to its monolithic design and proprietary nature. Fivetran is a data integration solution that enables companies to overcome these hurdles by providing an easy-to-use platform and support for various data destinations. Two leading enterprises, Cemex and Pitney Bowes, have successfully used Fivetran to unlock their SAP data for real-time insights, reducing processing time from weeks to minutes and hours respectively, and enabling predictive decisions around customer behavior and operational efficiency. Fivetran's comprehensive support streamlines the integration process from SAP to cloud storage, significantly reducing implementation times and allowing IT teams to focus on strategic initiatives.

Fivetran is integrating with Polaris data catalog to send contextual metadata from Fivetran directly to Polaris, reducing complexity across systems and destinations. This integration will leverage the open source Polaris catalog to develop a hosted catalog solution for customers using the Fivetran Managed Data Lake Service, allowing them to avoid creating and maintaining their own technical metadata catalog. The implementation of a vendor-agnostic data catalog provides flexibility and scalability for businesses, enabling them to adapt to changing technologies and business needs without being constrained by a single provider's ecosystem. With this integration, customers can leverage their external storage location and avoid copying and managing data across multiple locations, allowing them to query the data in downstream warehouses or tools without additional complexity and storage costs.

MotherDuck, a high-speed data analysis tool for laptops, has developed a new destination connector using Fivetran's Partner SDK. This allows users to consume normalized data from over 500 sources and process it quickly on their local machines. The modern data landscape is undergoing transformation due to the impressive capabilities of today's hardware, with fast laptops changing the user experience. Companies are now focusing on designing around user experience rather than dataset size for faster value generation. Centralized data lakes are a great choice for AI initiatives, but the architecture needs to be right. Having one data platform can simplify operational and administrative burden for most data use cases, making it more cost-effective and efficient.

Fivetran Activations introduces the Universal Data Platform (UDP) to address the challenges of poor customer experiences caused by mismanaged and underutilized data. The UDP aims to bridge the longstanding gap between business users and data teams by providing a collaborative workspace that integrates activation, transformation, and governance of data. This platform allows both teams to efficiently create, manage, and utilize data models, enhancing data quality and trust while reducing bottlenecks in data processing. Unlike traditional data management tools or composable Customer Data Platforms (CDPs), the UDP offers a comprehensive solution to transform, govern, and activate data, ensuring better customer interactions and enabling businesses to monetize and share data effectively. By facilitating improved collaboration, the UDP empowers companies to produce clean, standardized datasets crucial for reliable AI outputs and other advanced data-driven operations.

Fivetran's automated data movement platform is being used in conjunction with the Databricks Data Intelligence Platform to accelerate, democratize, and standardize SAP ERP data into Databricks for a wide array of data workloads. Fivetran can act as a bridge between nearly 600 data sources and the Databricks platform, ensuring fully automated, reliable, and secure data movement, change data capture, and schema management. The platform offers various deployment options for SAP ERP as a source, including the SAP ERP for HANA connector, which features application-based replication and supports SAP HANA Enterprise Cloud and RISE Private. Fivetran can help organizations move their SAP ERP data into Databricks, unlocking data innovation and reducing data estate fragmentation.

Our latest dbt data model for SAP replicates common SAP extraction reports to help enterprise customers better understand and analyze their business critical data, including essential master attribute and financial extractor reports. This Quickstart Model provides a centralized and easily customizable way to access clean, analytics-ready data from SAP systems, saving time for data teams to focus on gathering insights. The models work in tandem with Fivetran's SAP connectors, allowing customers to extend their existing reporting by retaining the initial field naming and providing robust documentation of field definitions. By leveraging our Quickstart data models, customers can accelerate their time to insight and perform foundational modeling work, which can then be orchestrated and managed using automated Fivetran Transformations for dbt Core or preferred dbt tooling.

The Google Cloud Cortex Framework is a set of reference architectures, packaged services, deployment templates, and accelerators that enable organizations to leverage cloud innovation and achieve their business outcomes without the hassle and expense associated with complex cloud projects. To utilize this framework, data professionals must move their business-critical data into a place where it can easily use cloud analytical services, which is a process that requires managing complex high-volume data needs. Fivetran, a foundational partner of Google Cloud Cortex Framework, provides a solution to manage these complex data needs and simplify the process of SAP data replication into BigQuery, enabling organizations to accelerate business outcomes, simplify operations, and enable efficiencies. The partnership between Google Cloud Cortex Framework and Fivetran helps businesses expand analytical SAP use cases into Google Cloud, making it easier for companies like SAP to meet the cloud era and replicate their ERP data into BigQuery.

At Fivetran's Modern Data Stack Event series in London, data leaders from BBC Studios and Monzo Bank shared their experiences of adopting modern data infrastructures. BBC Studios, a commercial subsidiary of the BBC, used Fivetran to overcome data silos and unlock rich customer insights after facing challenges with diverse, siloed data systems post-acquisition of BritBox International. Monzo Bank, a UK-based digital bank, chose Fivetran to connect ad and marketing platforms for a reliable single source of truth, enabling near real-time evaluation of campaign performance and tracking last-click attribution.

Fivetran and Dremio are driving innovation in supply chain management analytics by providing a unified platform for self-service analytics, AI, and automation. They enable real-time supply chain planning, unifying data from various sources, leveraging AI/ML to predict customer demand, and adapting to changes quickly. The combination of Fivetran and Dremio provides a scalable and secure solution that can accommodate changing data dimensions with minimal business interruption, offering lower costs and reduced complexity. With their automated data movement platform and unified analytics platform, organizations can make better and faster decisions about everything from raw materials to product delivery, ultimately enabling revenue-generating decisions on a real-time basis.

Fivetran is an automated data movement platform that seamlessly integrates with the Snowflake Data Cloud, enabling users to centralize data from hundreds of SaaS applications and databases. By combining Fivetran and Snowflake, users can gain capabilities such as data integration, analytics-ready data models, AI/ML applications, and more. The platforms enable a straightforward workflow for data applications of all kinds, with tools like dbt, SnowSQL, and Cortex providing additional functionality. Users can build curated, white-glove, real-time analytics, data aggregation and sharing services, personalization, automation, and generative AI-powered products. Fivetran offers a free 14-day trial, allowing users to get started quickly and easily with step-by-step instructions available through the Snowflake Partner Connect portal or on fivetran.com.

Fivetran is an automated data movement platform that securely centralizes data from various sources into the Databricks Data Intelligence Platform. The combination of Fivetran and Databricks enables users to build a wide range of analytics and AI/ML applications, including real-time analytics, data aggregation and sharing services, personalization and recommendation systems, automation tools, and generative AI applications. Getting started with Fivetran through Databricks Partner Connect is recommended, as it provides step-by-step instructions for setting up the integration and starting a free 14-day trial.