Best Data Management Software in China - Page 124

Kestra is a free, open-source orchestrator based on events that simplifies data operations while improving collaboration between engineers and users. Kestra brings Infrastructure as Code to data pipelines. This allows you to build reliable workflows with confidence. The declarative YAML interface allows anyone who wants to benefit from analytics to participate in the creation of the data pipeline. The UI automatically updates the YAML definition whenever you make changes to a work flow via the UI or an API call. The orchestration logic can be defined in code declaratively, even if certain workflow components are modified.

DataTools for Salesforce offers comprehensive management of metrics and metadata, facilitating collaboration between Salesforce experts and data cloud professionals. It not only supports the fundamental metadata and metrics of your Salesforce organization but also supplies contextual data that aids in the implementation of a contemporary customer data cloud. Our specially designed Salesforce dictionary utility enhances reporting capabilities and promotes insightful analysis. This tool allows you to identify and classify key fields while prioritizing vital metrics to enhance the value of your metadata. Discover the relationships between Salesforce objects with the help of intuitive color coding, and manage your Salesforce entity relationship diagram with ease. You can quickly select the necessary objects from your dictionary and generate your Salesforce ERD with a single click. Additionally, our Salesforce data migration tool streamlines both process and project management, ensuring a smooth transition for your data. This integrated approach helps organizations maximize their efficiency and effectiveness in utilizing Salesforce data.

Examine the penetration of technology within enterprises to identify potential threats, emerging trends, and areas for growth. Access comprehensive company details to enhance your sales and marketing initiatives. Utilize a premier tool to explore and analyze company data, segment accounts, and refine your ideal customer profile, allowing for precise targeting. Accelerate your outreach to your target customers by leveraging complete company profiles. Our global data feed ensures that company information is consistently accurate, current, and compliant. With our extensive technographic datasets, you can gain insights into the technology stacks of your prospects and their engagement with your offerings. This will lead to improved insights that can empower your organization’s segmentation strategies, streamline your qualification processes, elevate the impact of your account-based marketing, and reduce the duration of your sales cycles. Ultimately, this strategic approach will provide you with a competitive edge in the marketplace.

DeDupeD is an innovative application designed for Dynamics 365 that helps users quickly locate and handle duplicate CRM data. By enabling organizations to efficiently find, prevent, and consolidate duplicate entries in Dynamics 365, this tool enhances the overall accuracy and quality of data management. With a streamlined database, sales professionals can optimize their workflow, avoiding unnecessary tasks like contacting the same customer multiple times due to duplicated entries. This application eliminates the tedious process of manually searching through the CRM for duplicate records, making data management more effective and less time-consuming. Ultimately, DeDupeD fosters a more organized and efficient approach to customer relationship management.

Streamline the lengthy processes of data handling, such as structuring, labeling, and preprocessing tasks. Centralize your data management within a single, easily integrable platform for enhanced efficiency. Rapidly enhance data accessibility through the use of synthetic data that prioritizes privacy and user-friendly exchange platforms. With the Aindo synthetic data platform, securely share data not only within your organization but also with external service providers, partners, and the AI community. Uncover new opportunities for collaboration and synergy through the exchange of synthetic data. Obtain any missing data in a manner that is both secure and transparent. Instill a sense of trust and reliability in your clients and stakeholders. The Aindo synthetic data platform effectively eliminates inaccuracies and biases, leading to fair and comprehensive insights. Strengthen your databases to withstand exceptional circumstances by augmenting the information they contain. Rectify datasets that fail to represent true populations, ensuring a more equitable and precise overall representation. Methodically address data gaps to achieve sound and accurate results. Ultimately, these advancements not only enhance data quality but also foster innovation and growth across various sectors.

Estuary Flow, a new DataOps platform, empowers engineering teams with the ability to build data-intensive real-time applications at scale and with minimal friction. This platform allows teams to unify their databases, pub/sub and SaaS systems around their data without having to invest in new infrastructure or development.

Organizations are increasingly focused on becoming more data-driven, implementing dashboards, analytics, and data pipelines throughout the contemporary data landscape. However, many organizations face significant challenges with data reliability, which can lead to misguided business decisions and a general mistrust in data that negatively affects their financial performance. Addressing intricate data challenges is often a labor-intensive process that requires collaboration among various teams, all of whom depend on informal knowledge to painstakingly reverse engineer complex data pipelines spanning multiple platforms in order to pinpoint root causes and assess their implications. Pantomath offers a solution as a data pipeline observability and traceability platform designed to streamline data operations. By continuously monitoring datasets and jobs within the enterprise data ecosystem, it provides essential context for complex data pipelines by generating automated cross-platform technical pipeline lineage. This automation not only enhances efficiency but also fosters greater confidence in data-driven decision-making across the organization.

Medium’s sophisticated data infrastructure and reporting systems establish a unified source of truth that aids in decision-making amidst increasing complexities. Our innovative technology for automated data movement is designed to extract, store, and transfer data to your preferred locations. Tailored specifically for omnichannel businesses, our unique data transformation process ensures high reliability. This is precisely why our data is considered the most dependable in the industry. With our pre-built data models, we enhance data reliability by simplifying processes related to data preparation, aggregation, and enrichment. Our platform effectively normalizes, aggregates, and validates your omnichannel data with precision. We possess the capability to resolve inconsistencies, check for missing data entries, supplement important information to datasets, and bring together disparate reports from multiple channels into a cohesive view that enhances overall data integrity. By leveraging these comprehensive features, businesses can navigate their data landscape with greater confidence and insight.

PartiQL extends SQL in a manner that is straightforward, allowing nested data to be treated as integral components and enabling a smooth integration with SQL itself. This capability facilitates intuitive operations such as filtering, joining, and aggregating various types of data, including structured, semistructured, and nested datasets. By decoupling the syntax and semantics of queries from the actual data format or storage system, PartiQL provides a cohesive querying experience across diverse data stores and formats. It empowers users to engage with data irrespective of the presence of a standard schema. Additionally, the components of PartiQL—including its syntax, semantics, embedded reference interpreter, command-line interface, testing framework, and associated tests—are distributed under the Apache License, version 2.0. This licensing grants users the freedom to use, modify, and share their contributions while adhering to their preferred terms. Thus, the overall design of PartiQL enhances accessibility and flexibility in data management across various platforms.

Bid farewell to cumbersome paper logs, disorganized spreadsheets, and rigid tools; enhance your team's communication, boost productivity, and facilitate effortless data collection through mobile or web applications, while also integrating data from various software and devices. You can automate processes through data links, approval workflows, notifications, and reminders, ensuring that each app experience is tailored to individual needs while maintaining data compliance and managing access with precision. Additionally, establish connections between Grid and IoT devices using REST APIs, database connectors, and a wide range of supported protocols such as MQTT and HTTP. Effortlessly gather data from any source or device, manipulate it, perform queries, generate reports, create workflows, and seamlessly push the insights to dashboards within Grid or to other applications like SAP, Jira, PowerBI, or virtually anywhere on the web. With these capabilities, your operations can be transformed into a more streamlined and efficient process, ultimately driving better decision-making and enhanced collaboration across your organization.

Constructing effective models requires high-quality data. Currently, over 80% of data is unstructured, encompassing formats such as documents, reports, text, and images. For language models, discerning which segments of this data are pertinent, obsolete, inconsistent, and secure is essential. Neglecting this crucial step can result in the unsafe and unreliable implementation of artificial intelligence. Ensuring proper data curation is vital for fostering trust and effectiveness in AI applications.

Syntheticus® revolutionizes the way organizations exchange data, addressing challenges related to data accessibility, scarcity, and inherent biases on a large scale. Our synthetic data platform enables you to create high-quality, compliant data samples that align seamlessly with your specific business objectives and analytical requirements. By utilizing synthetic data, you gain access to a diverse array of premium sources that may not be readily available in the real world. This access to quality and consistent data enhances the reliability of your research, ultimately resulting in improved products, services, and decision-making processes. With swift and dependable data resources readily available, you can expedite your product development timelines and optimize market entry. Furthermore, synthetic data is inherently designed to prioritize privacy and security, safeguarding sensitive information while ensuring adherence to relevant privacy laws and regulations. This forward-thinking approach not only mitigates risks but also empowers businesses to innovate with confidence.

Our progress in ultra-low-power circuits and wireless communication has enabled us to operate always-on Eversensors solely using minimal amounts of energy harvested from their environments, which serves as the data backbone for our comprehensive Industrial IoT solutions. These batteryless Eversensors offer simpler installation and can be deployed in significantly greater numbers compared to their battery-operated counterparts, while also being much more affordable to maintain. Meanwhile, at the system's other end, Evercloud efficiently converts a vast array of newly collected data into valuable and actionable insights. The implementation of self-sustaining sensors paves the way for the realization and expansion of the Factory of the Future, allowing businesses to enhance their returns on Industrial IoT investments, while simultaneously streamlining costs, optimizing asset usage, and fostering sustainability across various interconnected environments. This transformative approach redefines operational efficiency in the industrial sector, making it possible for companies to harness the full potential of technological advancements.

Obtain immediate insights from your data using AI technology. This robust, enterprise-ready platform democratizes data analytics, ensuring that employees across all departments in your organization can harness the power of data. No matter your role—be it in a data-centric team or within a specific business unit—Hal9 empowers you to utilize your company's data effectively, providing timely and relevant input. Experience dynamic and visual representations of your findings through charts, dashboards, maps, and reports, which elucidate the narrative hidden within your data. Additionally, you can effortlessly save and share your discoveries via a link, allowing your colleagues to engage with and explore the insights independently, fostering a collaborative and informed decision-making environment. This transformative approach not only enhances individual understanding but also strengthens team cohesion in data-driven projects.

LiteX comes in two components: Windows [ Client ] Linux Server [ LiteServer ]. The *standalone* client functionality has: - SFTP capability File System Management (local or remote) Remote Proxy FSM. Copying etc. from remote system(s), to remote system(s), transparently via Client. - SSH [2] [ SSL ] supported. Client also has a server peer [ LiteServer ] on Linux that provides DB maintenance, multi-domain bit levels, Merge/Compare functionality [ Client geared ]. The full client and server documentation is available. LiteServer toolkit and examples are available. LiteX Client is free for SFTP or FSM. LiteServer is POA if you want to use it for commercial purposes.

Expanso operates jobs directly at the location of your data, harnessing local computing power while significantly reducing data transfer requirements. By employing a peer-to-peer network of nodes, we effectively decrease latency dependence and improve your data governance practices. You can fine-tune your data flows with remarkable precision. Through its container orchestration, Expanso facilitates distributed application deployments by utilizing this peer-to-peer architecture, which enhances redundancy and fault tolerance in your deployments. This distributed framework minimizes the chances of single points of failure, resulting in a more dependable system with enhanced reliability. Moreover, Expanso supports on-device computing, which can lead to notable cost reductions. By executing computations on edge devices, you can greatly lower data transmission and cloud infrastructure costs. This approach also reduces the frequency of data leaving your facilities, thereby decreasing the potential for regulatory challenges. In addition, this innovative method empowers businesses to maintain better control over their sensitive information.

Effortlessly create and oversee AI applications without transferring your data through intricate pipelines or specialized vector databases. You can seamlessly connect AI and vector search directly with your existing database, allowing for real-time inference and model training. With a single, scalable deployment of all your AI models and APIs, you will benefit from automatic updates as new data flows in without the hassle of managing an additional database or duplicating your data for vector search. SuperDuperDB facilitates vector search within your current database infrastructure. You can easily integrate and merge models from Sklearn, PyTorch, and HuggingFace alongside AI APIs like OpenAI, enabling the development of sophisticated AI applications and workflows. Moreover, all your AI models can be deployed to compute outputs (inference) directly in your datastore using straightforward Python commands, streamlining the entire process. This approach not only enhances efficiency but also reduces the complexity usually involved in managing multiple data sources.

Discover how Barracuda Data Inspector seamlessly scans and addresses sensitive information and harmful files in your OneDrive for Business and SharePoint environments. The improper handling of sensitive data, including Social Security numbers, credit card details, and network credentials within SharePoint and OneDrive, can jeopardize your organization's security. With Barracuda Data Inspector, you gain visibility into the types of data detected, whether it has been shared with internal teams or external parties, and its exact location. You have the ability to take action on that data, whether by unsharing, quarantining, or completely removing it. Additionally, Data Inspector can pinpoint sensitive information within images, such as photographs, screenshots, and scanned documents. You can further tailor the tool to your needs by establishing custom data classifiers to identify specific information types, including employee or student IDs, project codenames, and other confidential data. This comprehensive approach ensures that your data remains secure and compliant with relevant regulations.

For thirty years, Verisys has been a trusted partner to some of the most intricate healthcare entities in the United States, managing the credentialing of over two million events each year. Our provider credentialing solutions ensure that you maintain compliance effectively. The credentialing and re-credentialing of healthcare providers is a challenging task for hospitals, health plans, and health systems alike. With physicians holding licenses in multiple states and offering telehealth services across state lines, it becomes necessary to verify licenses with each respective state board and adhere to the distinct regulations set forth by those states. Additionally, identity verification can be intricate, as many physicians share similar names, including maiden names, aliases, nicknames, or shortened versions of their names. To obtain a comprehensive understanding, it is essential to screen each physician thoroughly and validate credentials against a myriad of primary sources. Our expertise spans from conducting straightforward provider credential searches to deploying comprehensive end-to-end credentialing systems that streamline the entire process. By relying on us, you can simplify the complexities of credentialing and focus on providing quality care.

Generating customs declarations has become remarkably straightforward. Just upload your invoices, packing lists, delivery notes, and any other relevant customs paperwork to Dexter, who will handle the rest while you concentrate on higher-value tasks. By leveraging his extensive customs knowledge, Dexter addresses both the lack of skilled labor and the need for manual data entry in the customs declaration process. The integration of Dexter requires minimal effort on your part and can save you anywhere from 3 to 90 minutes per customs case starting from the very first day. He seamlessly manages the entire workflow, turning raw customs documents into submission-ready declarations for authorities with exceptional accuracy. You can process an array of documents, including today's invoices and tomorrow's bills, regardless of their size or language. Dexter is equipped to read and comprehend a diverse selection of customs documents, and you can also develop your own extraction models if desired. Furthermore, Dexter intelligently interprets the extracted data, ensuring that it aligns perfectly with your master data for optimal efficiency. Overall, Dexter transforms the customs declaration experience into a streamlined and efficient process.

Discover the advantages of utilizing a Trusted Third Party (TTP) for the meticulous pseudonymization of personal data, enabling you to conduct data analysis while adhering to GDPR regulations. Our fundamental offering revolves around the pseudonymization of personal data, utilizing techniques that ensure irreversible pseudonyms and the enhancement of behavioral data. The pseudonymized dataset serves as the foundation for subsequent processing by our clients. Additionally, our filtering service allows for the proportional sharing of personal data, ensuring privacy is maintained throughout the process. We carefully filter information through a rigorously managed pseudonymized whitelist, guaranteeing that only data pertaining to individuals on this list is shared. Viacryp also provides expert privacy consultation focused on the safeguarding and security of personal data. In collaboration with our partners, we offer guidance on the necessary measures organizations should implement to meet GDPR compliance, addressing both technical solutions and organizational protocols. By prioritizing these compliance strategies, businesses can enhance their data protection practices effectively.

Safeguard essential IBM i applications from interruptions and prevent data loss with comprehensive, scalable disaster recovery solutions. Assure QuickEDD ensures that IBM i data and objects are replicated in real-time to both local and remote backup servers, which are always prepared to take over production tasks or restore historical data. The system can be expanded to include multiple nodes and is compatible with various replication setups. It accommodates a range of IBM i OS versions and storage configurations, making it suitable for businesses of all sizes, from small to large enterprises. Featuring a user-friendly graphical interface that supports seven languages and a 5250 interface, it allows for customizable switching procedures that can be executed either interactively, step-by-step, or in batch mode. Furthermore, it includes tools for monitoring, analysis, and specific configuration adjustments, enabling users to generate reports about their high availability environment, job logs, and other critical metrics. Additionally, users can receive alerts via email, MSGQ, and SNMP to stay informed about system performance and issues. Overall, Assure QuickEDD provides a robust solution for maintaining the integrity and availability of IBM i systems.

NMTY Enterprise provides robust protection for all privacy-sensitive information within your organization, whether it resides in databases or individual files. By incorporating NMTY Enterprise into your IT framework, you can swiftly anonymize any data sources that require safeguarding. The platform allows for the anonymization of data irrespective of its storage method, be it within databases or in files like CSV and XML. Anonymization occurs directly at the source, which effectively prevents the unnecessary duplication of non-anonymized data. Furthermore, connections to your data sources are secured with integrated authentication and encryption during storage. Beyond datasets, NMTY Enterprise can also anonymize data found in documents and images directly. Our cutting-edge solutions are designed to seamlessly integrate with your existing workflows, ensuring that optimal results are consistently achieved. By choosing NMTY Enterprise, you not only enhance your data security but also streamline your data management processes.

Safeguard the identities captured in your data by anonymizing faces and license plates, ensuring adherence to privacy regulations like GDPR, CCPA, and APPI. Utilize our provided examples to evaluate the effectiveness of anonymization by comparing images before and after the process. If you wish to try the tool with your own image, simply upload a JPEG or PNG file (up to 4MB) to observe how our model effectively removes all identifiable personal information. Our GDPR compliance solution boasts several essential features, maintaining regulatory standards without disrupting downstream operations, and can be customized to suit individual requirements. We provide optimal deployment options designed to enhance processing efficiency and minimize reliance on human oversight, ultimately saving both time and resources. Options for deployment are adaptable, with choices including cloud-based, on-premise, or API integration. Furthermore, the system proficiently blurs faces and license plates, even in complex visual scenarios and varying camera perspectives, ensuring comprehensive protection of personal privacy. This capability is vital in today’s data-driven world, where the importance of privacy compliance cannot be overstated.

Effortlessly anonymize faces, license plates, bodies, and vehicles with our user-friendly solution that seamlessly integrates across all platforms. Address privacy concerns for a diverse array of commercial and industrial applications. Leading global companies place their confidence in our products and expertise as we tackle anonymization issues, allowing you to concentrate on your primary business objectives. Our dedicated team is committed to supporting you throughout your privacy enhancement process. With a strong emphasis on Data Protection, we implement robust measures to ensure compliance with GDPR and other relevant data protection regulations. You have the option to utilize our cloud service for all processing needs, or deploy our Docker container within your on-premise or private/public cloud environments. Our pricing structure is based on a fee per image or video hour, and we offer a demo account that allows you to test our services free of charge. In just seconds, you can blur faces, license plates, individuals, and vehicles in images using a straightforward REST call, making privacy protection both efficient and accessible. By choosing our solution, you not only safeguard sensitive information but also streamline your operations for better efficiency.