Apache Hive Integrations

RATH transcends conventional data analysis and visualization tools such as Tableau by streamlining the exploratory data analysis process. Utilizing an advanced Augmented Analytic engine, it identifies patterns, insights, and causal relationships, delivering these findings through sophisticated, automatically generated multidimensional visualizations. This innovative approach not only enhances efficiency but also empowers users to make data-driven decisions with greater clarity and confidence.

QueryPie functions as an all-encompassing platform that integrates a variety of data sources and security measures into one seamless interface. Propel your organization’s progress towards success without needing to modify your existing data framework. In a landscape increasingly influenced by data, robust data governance has risen to paramount importance. Ensure compliance with data governance standards while simultaneously providing numerous users with access to a growing array of critical information. Develop data access protocols that take into account essential elements such as IP addresses and access times. You are able to establish different levels of access based on SQL commands divided into categories such as DML, DCL, and DDL, which facilitates secure data analysis and alterations. Effortlessly keep track of SQL event specifics and scrutinize user activities along with possible security risks by reviewing logs filtered through permissions. Additionally, all past data can be exported for detailed reporting, guaranteeing a comprehensive understanding of your data utilization and security measures. This integrated strategy not only improves oversight but also fosters informed decision-making for upcoming initiatives, thereby paving the way for a more secure and efficient data environment. Ultimately, QueryPie empowers organizations to harness their data responsibly while driving innovation and growth.

Effortlessly oversee a multitude of tables through advanced machine learning-based anomaly detection, complemented by a diverse range of more than 50 customized metrics. This ensures thorough management of both data and metadata while carefully tracking all asset dependencies from initial ingestion right through to business intelligence. Such a solution not only boosts productivity but also encourages collaboration between data engineers and end-users. Sifflet seamlessly integrates with your existing data environments and tools, operating efficiently across platforms such as AWS, Google Cloud Platform, and Microsoft Azure. Stay alert to the health of your data and receive immediate notifications when quality benchmarks are not met. With just a few clicks, essential coverage for all your tables can be established, and you have the flexibility to adjust the frequency of checks, their priority, and specific notification parameters all at once. Leverage machine learning algorithms to detect any data anomalies without requiring any preliminary configuration. Each rule benefits from a distinct model that evolves based on historical data and user feedback. Furthermore, you can optimize automated processes by tapping into a library of over 50 templates suitable for any asset, thereby enhancing your monitoring capabilities even more. This methodology not only streamlines data management but also equips teams to proactively address potential challenges as they arise, fostering an environment of continuous improvement. Ultimately, this comprehensive approach transforms the way teams interact with and manage their data assets.

Address the challenge of neglected data catalogs with Acryl Cloud, which enhances the realization of value through Shift Left strategies tailored for data creators while providing an intuitive interface for users. This platform allows for the immediate identification of data quality concerns, automates anomaly detection to prevent future complications, and supports quick resolutions when issues do crop up. Acryl Cloud supports both push and pull methods for ingesting metadata, simplifying upkeep while ensuring the information remains trustworthy, up-to-date, and thorough. For smooth operations, data should work effortlessly. Go beyond basic visibility by utilizing automated Metadata Tests that continually uncover insights and highlight new avenues for improvement. By establishing clear asset ownership and applying automatic detection, efficient notifications, and temporal lineage for tracing the origins of issues, organizations can reduce confusion and shorten resolution times. Consequently, this leads to a more streamlined and productive data management framework, fostering a culture of continuous improvement and adaptability.

SecuPi offers a robust data-focused security platform that incorporates advanced fine-grained access control (ABAC), Database Activity Monitoring (DAM), and a range of de-identification methods including FPE encryption, physical and dynamic masking, as well as right to be forgotten (RTBF) deletion. This solution is meticulously crafted to deliver comprehensive protection across both commercially available and bespoke applications, covering direct access tools, vast data landscapes, and cloud-based infrastructures. With SecuPi, businesses can leverage a unified data security system to seamlessly oversee, regulate, encrypt, and categorize their information across all cloud and on-premises environments without the need for any modifications to their existing codebase. The platform is both adaptable and configurable, allowing for adjustments to meet evolving regulatory and auditing requirements. Moreover, its swift and cost-effective deployment ensures that no changes to the source code are necessary, making it accessible for various organizations. SecuPi's precise data access controls are instrumental in safeguarding sensitive information, permitting users to access only the data they are authorized to view. Additionally, the platform integrates effortlessly with Starburst/Trino, automating the enforcement of data access policies and bolstering data protection initiatives. This functionality empowers organizations to achieve compliance and maintain security while effectively managing their data challenges, ultimately enhancing their overall data governance strategies.

Harness the power of Qlik® Staige™ to turn AI into a practical asset by building a dependable data infrastructure, implementing automation, generating useful predictions, and making a considerable difference throughout your organization. AI is not just about trials and projects; it constitutes a holistic ecosystem brimming with files, scripts, and results. No matter how you choose to direct your investments, we have partnered with top-tier providers to deliver integrations that boost efficiency, ease management, and guarantee quality. Optimize the process of providing real-time data to AWS data warehouses or data lakes, making it accessible via a meticulously managed catalog. Our recent alliance with Amazon Bedrock enables seamless integration with key large language models (LLMs) like A21 Labs, Amazon Titan, Anthropic, Cohere, and Meta. This effortless connection with Amazon Bedrock not only streamlines access for AWS users but also allows them to leverage large language models in conjunction with analytics, leading to meaningful, AI-enhanced insights. By embracing these innovations, businesses can fully realize the transformative potential of their data in unprecedented ways, ultimately driving growth and efficiency across various sectors. Moreover, this strategic approach positions organizations to stay ahead in an increasingly data-driven landscape.

Discover concealed sensitive data in surprising places like screenshots, logs, messages, tickets, and tables in a matter of minutes. With a simple click, LightBeam enables the generation of in-depth executive or delta reports, equipping you with vital insights into the landscape of your sensitive information. By leveraging LightBeam's unique PII/PHI visualizations, you can effectively automate Data Subject Requests (DSRs), ensuring a thorough approach that aligns with your data architecture. Empower users to manage their own data collection practices, thereby fostering trust and transparency. Maintain continuous oversight of the methods by which sensitive data is acquired, utilized, shared, and safeguarded, implementing appropriate protections across your organization while keeping all stakeholders well-informed. This forward-thinking strategy not only bolsters compliance but also fortifies the overarching framework of data governance, paving the way for improved data management practices in the future. Additionally, embracing this innovative solution can lead to more informed decision-making and a deeper understanding of data flows within your organization.

Meet Ema, a comprehensive AI solution crafted to elevate productivity across all roles within your organization. Her intuitive interface instills confidence and guarantees accuracy in operations. Ema acts as a vital operating system that facilitates the effective use of generative AI at the enterprise scale. By utilizing a distinct generative workflow engine, she transforms intricate tasks into easy-to-manage dialogues. With a firm commitment to reliability and compliance, Ema places a high priority on safeguarding your data. The EmaFusion model smartly combines outputs from top public language models with customized private models, greatly enhancing productivity while ensuring outstanding precision. We foresee a workplace where the burden of routine tasks is minimized, allowing for an increase in creative endeavors, with generative AI playing a pivotal role in achieving this goal. Ema seamlessly connects with countless enterprise applications without the need for further training. Additionally, she skillfully engages with the fundamental aspects of your organization, such as documents, logs, data, code, and policies, guaranteeing a smooth workflow. By harnessing the capabilities of Ema, teams can concentrate on innovation and strategic projects, freeing themselves from the constraints of mundane tasks, and paving the way for unparalleled growth and creativity. Ultimately, Ema serves as a catalyst for a more dynamic and efficient workplace.

The market is characterized by limited competition due to high entry barriers, specialized knowledge, substantial financial investment requirements, and lengthy timeframes for product launch. Additionally, existing platforms tend to align closely in terms of pricing and performance, thereby reducing users' incentives to make a switch. The process of migrating from one SQL dialect to another often spans several months and involves considerable effort. There is a growing need for computing solutions that are independent of specific formats, capable of functioning seamlessly with all major open standards. Currently, data leaders within organizations are encountering an unprecedented rise in the demand for data intelligence. They are surprised to find that a small fraction of their most resource-intensive tasks—just 10%—is responsible for a staggering 80% of their costs, engineering demands, and stakeholder dissatisfaction. Unfortunately, these critical workloads cannot be overlooked or neglected. e6data improves the return on investment associated with a company’s existing data platforms and infrastructure. Its format-agnostic computing solution is particularly noted for its outstanding efficiency and performance across numerous leading data lakehouse table formats, offering a significant edge in streamlining enterprise operations. By adopting this innovative solution, organizations can enhance their ability to manage data-driven challenges effectively while also making the most of their current resources. As a result, firms can not only navigate the complexities of data management but also foster a more agile and responsive operational environment.

The intelligent semantic layer integrates data with its relevant business context and interrelationships, streamlining metrics and accelerating the creation of data products by enabling SQL queries that are up to 90% shorter. This empowers users to model the data using terms they are familiar with, fostering a shared comprehension and aligning metrics with organizational goals. By establishing semantic relationships that take the place of conventional JOIN operations, queries become far less complex. Hierarchies and classifications are employed to deepen data understanding. The system ensures automatic alignment of data with the semantic framework, facilitating the merger of different data sources through a robust distributed SQL engine that accommodates large-scale queries. Data is accessible in the form of an interconnected semantic graph, enhancing performance and decreasing computing costs via an advanced caching mechanism and materialized views. Users benefit from advanced query optimization strategies. Furthermore, Timbr facilitates connections to an extensive array of cloud services, data lakes, data warehouses, databases, and various file formats, providing a smooth interaction with data sources. In executing queries, Timbr not only optimizes but also adeptly allocates the workload to the backend for enhanced processing efficiency. This all-encompassing strategy guarantees that users can engage with their data in a more effective and agile manner, ultimately leading to improved decision-making. Additionally, the platform's versatility allows for continuous integration of emerging technologies and data sources, ensuring it remains a valuable tool in a rapidly evolving data landscape.

Enhance your productivity by leveraging data efficiently. Effortlessly link to all your data sources to generate optimal SQL quickly, providing rapid access to essential information. You don't need to have extensive SQL knowledge to retrieve data instantly without crafting any queries. By using natural language, you can generate high-performance SQL for complex inquiries, rectify errors, and receive AI-powered suggestions to improve SQL efficiency. The AI SQL editor empowers developers to swiftly and precisely construct sophisticated SQL queries, saving both time and increasing overall development productivity. Just enter the names of your tables and columns, and the system will automatically handle type configurations, passwords, and comments, potentially cutting your time expenditure by as much as 90%. It supports importing and exporting data in multiple formats, such as CSV, XLSX, XLS, and SQL, simplifying data exchange, backup, and migration processes. Furthermore, it facilitates seamless data transfers between various databases or through cloud services, serving as a dependable backup and recovery system that reduces the risk of data loss and downtime during migrations, ensuring uninterrupted business operations. In addition to boosting productivity, this solution also provides enhanced flexibility and greater control over your data management workflows, allowing you to adapt to changing needs with ease. Ultimately, it transforms the way you interact with data, paving the way for more informed decision-making.

Salesforce Data Cloud acts as a cutting-edge real-time data platform designed to aggregate and manage customer information from various sources within an organization, offering a cohesive and comprehensive view of every client. This innovative platform enables businesses to seamlessly collect, synchronize, and analyze data as it occurs, resulting in an all-encompassing 360-degree customer profile that can be leveraged across multiple Salesforce applications, such as Marketing Cloud, Sales Cloud, and Service Cloud. By integrating information from both digital and traditional channels, including CRM data, transactional documents, and third-party data sources, it paves the way for quicker and more tailored customer interactions. Furthermore, Salesforce Data Cloud boasts advanced AI capabilities and analytical tools that allow companies to gain profound insights into customer behaviors and anticipate future needs. By centralizing and optimizing data for actionable use, it not only improves customer experiences but also enables targeted marketing strategies and fosters effective, data-informed decision-making across various organizational departments. In addition to enhancing data management processes, Salesforce Data Cloud is instrumental in empowering businesses to maintain their competitive edge in an ever-changing market landscape. Ultimately, its comprehensive functionalities ensure that organizations can adapt quickly and efficiently to shifting consumer demands.

MLlib, the machine learning component of Apache Spark, is crafted for exceptional scalability and seamlessly integrates with Spark's diverse APIs, supporting programming languages such as Java, Scala, Python, and R. It boasts a comprehensive array of algorithms and utilities that cover various tasks including classification, regression, clustering, collaborative filtering, and the construction of machine learning pipelines. By leveraging Spark's iterative computation capabilities, MLlib can deliver performance enhancements that surpass traditional MapReduce techniques by up to 100 times. Additionally, it is designed to operate across multiple environments, whether on Hadoop, Apache Mesos, Kubernetes, standalone clusters, or within cloud settings, while also providing access to various data sources like HDFS, HBase, and local files. This adaptability not only boosts its practical application but also positions MLlib as a formidable tool for conducting scalable and efficient machine learning tasks within the Apache Spark ecosystem. The combination of its speed, versatility, and extensive feature set makes MLlib an indispensable asset for data scientists and engineers striving for excellence in their projects. With its robust capabilities, MLlib continues to evolve, reinforcing its significance in the rapidly advancing field of machine learning.

A platform for managing data knowledge is crafted to assist teams in effectively exploring and understanding their data, which in turn cultivates a trusting environment towards their analytics. By leveraging this resource, companies can prevent inaccuracies in their reports and sidestep costly mistakes. Guarantee the reliability of your data and empower yourself to make decisions with assurance! Moreover, this approach encourages a proactive stance toward data governance, enhancing overall organizational efficiency.

BigBI enables data experts to effortlessly design powerful big data pipelines interactively, eliminating the necessity for programming skills. Utilizing the strengths of Apache Spark, BigBI provides remarkable advantages that include the ability to process authentic big data at speeds potentially up to 100 times quicker than traditional approaches. Additionally, the platform effectively merges traditional data sources like SQL and batch files with modern data formats, accommodating semi-structured formats such as JSON, NoSQL databases, and various systems like Elastic and Hadoop, as well as handling unstructured data types including text, audio, and video. Furthermore, it supports the incorporation of real-time streaming data, cloud-based information, artificial intelligence, machine learning, and graph data, resulting in a well-rounded ecosystem for comprehensive data management. This all-encompassing strategy guarantees that data professionals can utilize a diverse range of tools and resources to extract valuable insights and foster innovation in their projects. Ultimately, BigBI stands out as a transformative solution for the evolving landscape of data management.

In the competitive landscape of business leadership, it is essential to maintain steadfast trust in your data, ensuring it is meticulously governed, compliant, and accurate. This involves the seamless integration of all data from various sources and locations, unrestricted by any barriers. A thorough understanding of your data assets is vital for effective oversight. Regular audits should be conducted to evaluate risks, compliance, and quality, thereby supporting your strategic initiatives. Additionally, cultivating a comprehensive inventory of data across diverse sources and types promotes a unified comprehension of your data landscape. Implementing a prompt, economical, and accurate one-time audit of your data resources is crucial. Audits focused on PCI, PII, and PHI can be executed efficiently and thoroughly. This method negates the necessity for any software acquisitions. It is critical to assess and audit the quality and redundancy of data in all enterprise assets, whether they exist in the cloud or on-premises. Compliance with international data privacy regulations must be maintained on a large scale. Continuous efforts to discover, classify, monitor, trace, and audit adherence to privacy standards are imperative. Moreover, managing the dissemination of PII, PCI, and PHI data while automating compliance with Data Subject Access Requests (DSAR) is essential. This all-encompassing approach not only preserves the integrity of your data but also contributes significantly to enhancing overall business efficiency and effectiveness. By implementing these strategies, organizations can build a resilient framework for data governance that adapts to emerging challenges and opportunities in the data landscape.

Syntho is typically deployed within the secure infrastructures of our clients to ensure that confidential data stays within a reliable framework. Our pre-built connectors facilitate seamless integration with both source data and target systems with minimal effort. We offer compatibility with all major database platforms and file systems, featuring over 20 connectors for databases and more than 5 for file systems. Clients can choose their preferred method for data synthesis, allowing options such as realistic masking or the creation of entirely new values, while also enabling the automatic identification of sensitive data types. After safeguarding the data, it can be shared and utilized with confidence, maintaining compliance and privacy regulations throughout its entire lifecycle. This not only promotes a secure approach to data management but also encourages a culture of trust and accountability in handling sensitive information.

Seamlessly combine data from legacy systems into contemporary cloud and data platforms with a unified solution. Connect allows you to oversee the transition of your data from mainframes to cloud infrastructures. It supports data integration through both batch processing and real-time ingestion, which enhances advanced analytics, broad machine learning applications, and smooth data migration efforts. With a wealth of experience, Connect capitalizes on Precisely's expertise in mainframe sorting and IBM i data security to thrive in the intricate world of data access and integration. The platform ensures that all vital enterprise information is accessible for important business objectives by offering extensive support for diverse data sources and targets, tailored to fulfill all your ELT and CDC needs. This capability empowers organizations to adapt and refine their data strategies in an ever-evolving digital environment. Furthermore, Connect not only simplifies data management but also enhances operational efficiency, making it an indispensable asset for any organization striving for digital transformation.