Qubole Integrations

Dataproc enhances the speed, simplicity, and security of open source data and analytics processing in the cloud. You can swiftly create tailored OSS clusters on custom machines to meet specific needs. Whether your project requires additional memory for Presto or GPUs for machine learning in Apache Spark, Dataproc facilitates the rapid deployment of specialized clusters in just 90 seconds. The platform offers straightforward and cost-effective cluster management options. Features such as autoscaling, automatic deletion of idle clusters, and per-second billing contribute to minimizing the overall ownership costs of OSS, allowing you to allocate your time and resources more effectively. Built-in security measures, including default encryption, guarantee that all data remains protected. With the JobsAPI and Component Gateway, you can easily manage permissions for Cloud IAM clusters without the need to configure networking or gateway nodes, ensuring a streamlined experience. Moreover, the platform's user-friendly interface simplifies the management process, making it accessible for users at all experience levels.

Ascend offers data teams a streamlined and automated platform designed for the ingestion, transformation, and orchestration of their complete data engineering and analytics workloads, achieving speeds up to 10 times faster than previously possible. By facilitating gridlocked teams, Ascend enables them to overcome limitations and effectively build, manage, and optimize the ever-growing array of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously behind the scenes to ensure data integrity while optimizing workloads, which can cut maintenance time by as much as 90%. Users can effortlessly create, refine, and execute data transformations through Ascend’s versatile flex-code interface, which supports SQL, Python, Java, and Scala interchangeably. Additionally, users can swiftly access critical insights, such as data lineage, profiles, job and user logs, system health, and essential workload metrics all in one place. Ascend also provides seamless connections to an expanding array of popular data sources through its Flex-Code data connectors, making integration smoother than ever. This comprehensive approach allows teams to leverage their data more effectively, fostering a culture of innovation and agility in their analytics processes.

Zoho Directory, a cloud-based platform for identity and access management, is designed to streamline authentication and authorization. It also simplifies user management. Single Sign-On (SSO), which allows employees to access multiple apps with a single set credentials, enhances security and user convenience. Multi-Factor Authentication is supported by the platform, adding an additional layer of protection from unauthorized access. Device authentication provides secure access to applications and devices. Employees can use the same credentials on all platforms. Zoho Directory offers robust provisioning capabilities, which allow IT administrators to create user profiles for various applications from the platform. This reduces the time spent on repetitive work. Directory stores facilitate integration with existing directories such as Microsoft Active Directory or Azure AD.

Astronomer is the driving force behind Apache Airflow, the de facto standard for expressing data flows as code. Airflow is downloaded more than 4 million times each month and is used by hundreds of thousands of teams around the world. For data teams looking to increase the availability of trusted data, Astronomer provides Astro, the modern data orchestration platform, powered by Airflow. Astro enables data engineers, data scientists, and data analysts to build, run, and observe pipelines-as-code. Founded in 2018, Astronomer is a global remote-first company with hubs in Cincinnati, New York, San Francisco, and San Jose. Customers in more than 35 countries trust Astronomer as their partner for data orchestration.

Syntasa introduces a revolutionary web application designed specifically for digital experts, allowing teams to seamlessly integrate first-party behavioral data with enterprise information. This self-service platform empowers users to create and implement tailored models, operate within a private cloud environment, and engage across multiple channels, enhancing the overall digital experience. With its user-friendly interface, Syntasa makes it easier than ever for digital professionals to harness the power of their data.

Multi-cloud data security with a single pane of glass Industry's first SaaS access governance solution. Cloud is fragmented and data is scattered across different systems. Sensitive data is difficult to access and control due to limited visibility. Complex data onboarding hinders data scientist productivity. Data governance across services can be manual and fragmented. It can be time-consuming to securely move data to the cloud. Maximize visibility and assess the risk of sensitive data distributed across multiple cloud service providers. One system that enables you to manage multiple cloud services' data policies in a single place. Support RTBF, GDPR and other compliance requests across multiple cloud service providers. Securely move data to the cloud and enable Apache Ranger compliance policies. It is easier and quicker to transform sensitive data across multiple cloud databases and analytical platforms using one integrated system.

SQL is a specialized programming language designed specifically for the purpose of retrieving, organizing, and modifying data within relational databases and the systems that manage them. Its use is essential for effective database management and interaction.

Real Identity™ empowers brands to make instantaneous decisions, facilitating the delivery of pertinent messages in real-time. This innovative platform allows major global brands to effectively recognize and ethically engage with individuals at any moment and from any location, thus crafting meaningful experiences. By ensuring engagement that is extensive, scalable, and precise during every interaction, businesses can significantly enhance their outreach. Furthermore, Real Identity facilitates the management and upkeep of identity throughout the organization, drawing from half a century of expertise in data and identity, combined with cutting-edge artificial intelligence and machine learning advancements. In the rapidly evolving adtech landscape, the necessity for speed and access to identity and data is paramount to fuel personalization and informed decision-making. In a landscape devoid of cookies, the reliance on first-party data signals will be essential for these operations, while the ongoing dialogue will persist among individuals, brands, and publishers. By creating impactful experiences across various channels, businesses can not only impress their customers and prospects but also remain compliant with ever-changing regulations and maintain a competitive edge in the market. This approach ensures that brands can respond agilely to evolving consumer preferences and market dynamics.