DataHub Integrations

Creating and managing data policies can often feel like a daunting and exasperating task. Fortunately, with PACE from STRM, you have a robust solution at your fingertips that ensures data is used securely. By allowing you to implement data policies through coding, regardless of their location, it eliminates the need for lengthy delays and costly meetings. Welcome to your cutting-edge open-source data security engine that redefines the management of data governance. Data policies are crucial not only for regulating access but also for extracting valuable insights from data while upholding necessary protections. PACE enables you to collaborate on the reasoning and timing of policies, automating their implementation via code. With PACE, you can programmatically establish and enforce data policies across diverse platforms, enhancing flexibility. This tool is designed to integrate effortlessly with your current data platform and catalog, leveraging the capabilities already present in your technology stack. By automating the application of policies across vital data systems and catalogs, PACE greatly simplifies your governance responsibilities. This groundbreaking solution optimizes both the creation and enforcement of policies, allowing for centralized oversight while enabling decentralized execution. Furthermore, it facilitates compliance with auditing standards by providing clarity on how controls are applied. Ultimately, PACE transforms the landscape of data governance, making it not only more efficient but also significantly more user-friendly, paving the way for future advancements in data management.

MaxCompute, which was previously known as ODPS, is a sophisticated and fully managed platform that facilitates multi-tenant data processing, specifically catering to the extensive requirements of large-scale data warehousing. This platform provides an array of data import options and endorses distributed computing models, enabling users to conduct efficient analyses of extensive datasets while reducing production costs and maintaining data security. It is capable of handling exabyte-level storage and computation, and supports various frameworks including SQL, MapReduce, Graph computations, and Message Passing Interface (MPI) for iterative algorithms. Compared to conventional enterprise private clouds, MaxCompute boasts superior computing and storage capabilities, allowing for a cost reduction of between 20% to 30%. With a robust track record of over seven years in providing reliable offline analysis services, it incorporates strong multi-level sandbox protection and monitoring systems. Furthermore, MaxCompute employs scalable tunnels for data transmission that facilitate the daily import and export of petabyte-scale data, giving users the option to transfer all data or only historical records through multiple tunnels. This design ensures both flexibility and efficiency in data management processes, thereby making MaxCompute an ideal choice for businesses looking to enhance their data processing capabilities while optimizing costs. As a result, businesses can leverage these powerful features to streamline their operations and improve overall productivity.

DataWorks, a robust Big Data platform launched by Alibaba Cloud, provides a unified solution for Big Data development, management of data access, and scheduling of offline tasks, among its diverse capabilities. It is crafted to operate smoothly from the outset, removing the challenges linked to setting up and overseeing foundational clusters. Users can easily design workflows by dragging and dropping various nodes, with the added advantage of editing and debugging their code in real-time while collaborating with other developers. The platform is capable of executing a range of tasks, including data integration, MaxCompute SQL, MaxCompute MR, machine learning, and shell tasks. Additionally, it includes task monitoring features that send alerts in case of errors, ensuring that service disruptions are minimized. DataWorks can manage millions of tasks concurrently and supports scheduling on an hourly, daily, weekly, or monthly basis. Ideal for building big data warehouses, it offers comprehensive data warehousing services and accommodates various data needs. Furthermore, DataWorks adopts a holistic approach to the aggregation, processing, governance, and delivery of data services, making it an essential resource for companies aiming to effectively utilize Big Data in their operations. This platform not only enhances productivity but also streamlines data management processes, allowing businesses to focus on insights rather than infrastructure.

Anomalo empowers organizations to proactively address data challenges by swiftly identifying issues before they affect users. It offers comprehensive monitoring capabilities, featuring foundational observability with automated checks for data freshness, volume, and schema variations, along with in-depth quality assessments for consistency and accuracy. Leveraging unsupervised machine learning, it autonomously detects missing and anomalous data effectively. Users can navigate a no-code interface to create checks that compute metrics, visualize data trends, build time series models, and receive clear alerts through platforms like Slack, all while benefiting from insightful root cause analyses. The intelligent alerting system utilizes advanced unsupervised machine learning to dynamically adjust time series models and employs secondary checks to minimize false positives. By generating automated root cause analyses, it significantly reduces the time required to understand anomalies, and its triage feature streamlines the resolution process, integrating seamlessly with various remediation workflows, including ticketing systems. Additionally, Anomalo prioritizes data privacy and security by allowing operations to occur entirely within the customer's own environment. This ensures that sensitive information remains protected while still gaining the benefits of robust data monitoring and management.

The AWS Marketplace acts as a meticulously organized online venue where users can discover, purchase, implement, and manage third-party software, data products, and services smoothly within the AWS framework. It showcases a wide selection of offerings across multiple categories, such as security, machine learning, enterprise applications, and DevOps solutions. By providing an array of pricing models, including pay-as-you-go options, annual subscriptions, and free trial opportunities, AWS Marketplace simplifies the purchasing and billing processes by merging expenses into a single AWS invoice. Additionally, it promotes rapid deployment through pre-configured software that can be easily activated within AWS infrastructure. This streamlined approach not only accelerates innovation and reduces time-to-market for organizations but also gives them more control over software usage and related expenditures. Consequently, businesses are able to allocate more resources towards strategic objectives rather than getting bogged down by operational challenges, ultimately leading to more efficient resource management and improved overall performance.

Astronomer serves as the key player behind Apache Airflow, which has become the industry standard for defining data workflows through code. With over 4 million downloads each month, Airflow is actively utilized by countless teams across the globe. To enhance the accessibility of reliable data, Astronomer offers Astro, an advanced data orchestration platform built on Airflow. This platform empowers data engineers, scientists, and analysts to create, execute, and monitor pipelines as code. Established in 2018, Astronomer operates as a fully remote company with locations in Cincinnati, New York, San Francisco, and San Jose. With a customer base spanning over 35 countries, Astronomer is a trusted ally for organizations seeking effective data orchestration solutions. Furthermore, the company's commitment to innovation ensures that it stays at the forefront of the data management landscape.

Prevent data outages by taking a proactive approach to identify and address data quality issues before they make it to production. You can achieve comprehensive test coverage of your data pipelines in just a single day, elevating your performance from zero to a hundred percent. With automated regression testing spanning billions of rows, you will gain insights into the effects of each code change. Simplify your change management processes, boost data literacy, ensure compliance, and reduce response times for incidents. By implementing automated anomaly detection, you can stay one step ahead of potential data challenges, ensuring you remain well-informed. Datafold’s adaptable machine learning model accommodates seasonal fluctuations and trends in your data, allowing for the establishment of dynamic thresholds tailored to your needs. Streamline your data analysis efforts significantly with the Data Catalog, designed to facilitate the easy discovery of relevant datasets and fields while offering straightforward exploration of distributions through a user-friendly interface. Take advantage of features such as interactive full-text search, comprehensive data profiling, and a centralized metadata repository, all crafted to optimize your data management experience. By utilizing these innovative tools, you can revolutionize your data processes, resulting in enhanced efficiency and improved business outcomes. Ultimately, embracing these advancements will position your organization to harness the full potential of your data assets.