Qubole Integrations

Ascend provides data teams with a streamlined and automated platform that allows them to ingest, transform, and orchestrate their entire data engineering and analytics workloads at an unprecedented speed, achieving results ten times faster than before. This tool empowers teams that are often hindered by bottlenecks to effectively build, manage, and enhance the ever-growing volume of data workloads they face. With the support of DataAware intelligence, Ascend operates continuously in the background to ensure data integrity and optimize data workloads, significantly cutting down 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 the use of multiple programming languages such as SQL, Python, Java, and Scala interchangeably. Additionally, users can quickly access critical metrics including data lineage, data profiles, job and user logs, and system health indicators all in one view. Ascend also offers native connections to a continually expanding array of common data sources through its Flex-Code data connectors, ensuring seamless integration. This comprehensive approach not only enhances efficiency but also fosters stronger collaboration among data teams.

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.

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.

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.

Real Identity™ provides rapid, sub-second decision-making capabilities that facilitate timely and relevant messaging. This innovative platform empowers leading global brands to accurately identify individuals and ethically engage with them at any location and time, thereby fostering significant experiences. With the ability to connect with audiences at scale and with precision, brands can enhance every customer interaction. Additionally, Real Identity allows companies to effectively manage their identity systems by utilizing five decades of expertise in data and identity, coupled with cutting-edge artificial intelligence and machine learning methodologies. In the fast-paced adtech sector, swift access to identity and data is essential for enabling personalization and informed decision-making. As the landscape evolves away from cookies, first-party data signals will become crucial for driving these initiatives, ensuring that communication remains vibrant between individuals, brands, and publishers. By crafting impactful experiences across all channels, businesses can not only impress current customers and prospects but also maintain compliance with regulations and outpace their competitors. Ultimately, Real Identity™ positions brands to thrive in a dynamic environment while enhancing their customer engagement strategies.

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.