Business Intelligence, Big Data Management, Data Science

Semarchy Integrates Microsoft Azure Purview to Deliver Enhanced Data Governance for Semarchy xDM Users

Prnewswire | March 24, 2023 | Read time : 05:00 min

Semarchy Integrates Microsoft Azure Purview to Deliver Enhanced

Today, Semarchy, a master data management and data integration leader, announced new capabilities to enable organizations to capitalize on their data. Enhancements to the Semarchy unified platform include integration with Microsoft Azure integration, new visibility and control for MDM workflows, and simplified data integration infrastructure deployment through Docker images.

Microsoft Azure Purview Integration

The xDM Platform now integrates with Microsoft Azure Purview, a robust SaaS data catalog solution. Microsoft Purview provides a unified data governance solution to help manage and govern data giving organizations end-to-end visibility of their data to help them make better business decisions.

With this integration, metadata in Semarchy xDM is synchronized into Purview to link the logical assets to their corresponding physical assets and provide a complete view of organizations' data via the xDM certification process.

"In short, this integration offers our xDM solution to Microsoft users leading to better data governance," said FX Nicolas, Chief Product Officer of Semarchy. "Organizations can better understand and track their data to help them plan for the future."

Semarchy xDM addresses underlying data problems using a single software platform for governance, master data, reference data, data quality, enrichment, and workflows to improve business outcomes. xDM's data models enhance Microsoft Azure Purview customers' data catalog capabilities.

Workflow Administration UI

Additional control and visibility of master data management in data-driven workflows is provided in xDM with the introduction of a dedicated workflow administration user interface. Through this interface, data stewards and administrators are provided with enhanced tools to control the workflow, such as reinitiating failed steps, reassigning tasks, and killing the workflow. This user interface provides users with access to global and detailed views of workflows and the path of data through them.

Simplified Data Integration Infrastructure Deployment

Data integration infrastructure deployment with Semarchy xDI has been simplified through the introduction of Docker images for the Runtime, Analytics, and License Server components. Using Dockers allows for faster, more reliable deployments irrespective of the user's environment. Additional technological improvements to xDI further simplify control of data integration through the introduction of JSON deserializers for Greenplum and PostgreSQL, which will reduce technological overhead when working with hierarchical data. Providing the use of AWS S3 as a delivery repository allows users to keep their data in the Cloud, improving efficiency.

About Semarchy

Semarchy, a leader in the data integration and master data management markets, enables organizations to rapidly generate business value from their data. Its unified platform enables organizations of any size to quickly discover, govern, manage, integrate and visualize critical information scattered across applications. Semarchy is available as an on-prem solution and is natively available on popular cloud marketplaces such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). Semarchy is also managed as a service and supported by a rich ecosystem of software-as-a-service (SaaS) and professional service partners. Semarchy is based in Phoenix, USA, with offices in London, UK, Lyon, France, and Mexico City, Mexico.

Spotlight

The only business intelligence platform with data and analytics spanning the entire forest products value chain—from wood to biofuel. With a wealth of information and global coverage, Forestat Global helps decision-makers navigate the forest products-based market with confidence.


Other News
Data Visualization

Airbyte Integrates with Datadog for Superior Data Pipeline Management

Airbyte | September 11, 2023

Airbyte, the leading open-source data movement platform, has announced a strategic integration with Datadog, Inc., a prominent cloud application monitoring and security platform. This integration offers customers a comprehensive solution to monitor and analyze data pipelines with access to nearly 50 metrics, all at no additional cost. The integration between Airbyte Self-Managed and Datadog's data observability and security monitoring capabilities allows organizations to maintain a close watch on the health of their critical data pipelines. Key features of this integration include: A centralized overview of Airbyte data pipeline performance Real-time detection and immediate alerts for failing syncs or connections Notifications regarding long-running jobs, which could indicate potential latency issues Michel Tricot, CEO of Airbyte, emphasized the significance of this integration, stating, The new Datadog integration provides transparency and actionable insights, empowering users to optimize performance and ensure reliable data pipelines by proactively addressing potential data issues. [Source: Business Wire] Yrieix Garnier, Vice President of Product at Datadog, further elaborated on the benefits, explaining, Airbyte's data extraction and loading process involves numerous complex components. The integration with Datadog offers users peace of mind, enabling them to monitor data pipelines across their organization and troubleshoot any potential data integration workflow issues, ultimately ensuring data quality. [Source: Business Wire] This integration will be immediately available to users. Existing Datadog customers can configure their Airbyte deployments to send metrics to Datadog. For those not already using Datadog, a free trial is available. Similarly, users new to Airbyte can sign up for free. Airbyte continues its commitment to delivering robust data integration and analysis solutions to organizations. The Datadog integration represents a significant milestone in Airbyte's mission to empower businesses with efficient data integration capabilities. Airbyte simplifies data movement across various sources and destinations, making it accessible and cost-effective for enterprises. With the largest data engineering contributor community, boasting over 800 contributors as well as top-tier tools for connector development and maintenance, Airbyte remains at the forefront of the data integration landscape. About Airbyte Founded in 2020, Airbyte is an open-source platform for EL (T) that enables data teams to replicate data from various sources to different destinations. The company, which has raised $181 million in funding, believes in the power of open source to address data integration challenges and offers over 200 connectors for data syncing. Currently, it serves over 25,000 companies.

Read More

Big Data Management

Kinetica Redefines Real-Time Analytics with Native LLM Integration

Kinetica | September 22, 2023

Kinetica, a renowned speed layer for generative AI and real-time analytics, has recently unveiled a native Large Language Model (LLM) integrated with Kinetica's innovative architecture. This empowers users to perform ad-hoc data analysis on real-time, structured data with the ease of natural language, all without the need for external API calls and without data ever leaving the secure confines of the customer's environment. This significant milestone follows Kinetica's prior innovation as the first analytic database to integrate with OpenAI. Amid the LLM fervor, enterprises and government agencies are actively seeking inventive ways to automate various business functions while safeguarding sensitive information that could be exposed through fine-tuning or prompt augmentation. Public LLMs, exemplified by OpenAI's GPT 3.5, raise valid concerns regarding privacy and security. These concerns are effectively mitigated through native offerings, seamlessly integrated into the Kinetica deployment, and securely nestled within the customer's network perimeter. Beyond its superior security features, Kinetica's native LLM is finely tuned to the syntax and industry-specific data definitions, spanning domains such as telecommunications, automotive, financial services, logistics, and more. This tailored approach ensures the generation of more reliable and precise SQL queries. Notably, this capability extends beyond conventional SQL, enabling efficient handling of intricate tasks essential for enhanced decision-making capabilities, particularly for time-series, graph, and spatial inquiries. Kinetica's approach to fine-tuning places emphasis on optimizing SQL generation to deliver consistent and accurate results, in stark contrast to more conventional methods that prioritize creativity but yield diverse and unpredictable responses. This steadfast commitment to reliable SQL query outcomes offers businesses and users the peace of mind they deserve. Illustrating the practical impact of this innovation, the US Air Force has been collaborating closely with Kinetica to leverage advanced analytics on sensor data, enabling swift identification and response to potential threats. This partnership contributes significantly to the safety and security of the national airspace system. The US Air Force now employs Kinetica's embedded LLM to detect airspace threats and anomalies using natural language. Kinetica's database excels in converting natural language queries into SQL, delivering responses in mere seconds, even when faced with complex or unfamiliar questions. Furthermore, Kinetica seamlessly combines various analytics modes, including time series, spatial, graph, and machine learning, thereby expanding the range of queries it can effectively address. What truly enables Kinetica to excel in conversational query processing is its ingenious use of native vectorization. In a vectorized query engine, data is organized into fixed-size blocks called vectors, enabling parallel query operations on these vectors. This stands in contrast to traditional approaches that process individual data elements sequentially. The result is significantly accelerated query execution, all within a smaller compute footprint. This remarkable speed is made possible by the utilization of GPUs and the latest CPU advancements, which enable simultaneous calculations on multiple data elements, thereby greatly enhancing the processing speed of computation-intensive tasks across multiple cores or threads. About Kinetica Kinetica is a pioneering company at the forefront of real-time analytics and is the creator of the groundbreaking real-time analytical database specially designed for sensor and machine data. The company offers native vectorized analytics capabilities in the fields of generative AI, spatial analysis, time-series modeling, and graph processing. A distinguished array of the world's largest enterprises spanning diverse sectors, including the public sector, financial services, telecommunications, energy, healthcare, retail, and automotive industries, entrusts Kinetica to forge novel solutions in the realms of time-series data and spatial analysis. The company's clientele includes various illustrious organizations such as the US Air Force, Citibank, Ford, T-Mobile, and numerous others.

Read More

Business Intelligence

Dremio Launches Next-gen Reflections Redefining SQL Query Acceleration

Dremio | September 15, 2023

Dremio, a renowned easy and open data lakehouse solution provider, has recently introduced its next-gen Reflections technology, marking a transformative milestone in SQL query acceleration. Dremio Reflections facilitate sub-second analytics performance across an organization's entire data ecosystem, irrespective of data location. This groundbreaking technology is redefining data access and analysis, ensuring that valuable insights are derived efficiently and swiftly, all while reducing costs to merely one-third of a typical cloud data warehouse. Reflections represent Dremio's innovative SQL query acceleration technology. Queries that leverage Reflections exhibit performance gains ranging from 10 to 100 times faster than their non-accelerated counterparts. This latest release introduces the Dremio Reflection Recommender, a pioneering feature that empowers users to accelerate Business Intelligence workloads in a matter of seconds. The Reflection Recommender automatically evaluates an organization's SQL queries and generates recommended Reflections to accelerate them. Tomer Shiran, founder of Dremio, commented, Dremio Reflections accelerate SQL queries by orders of magnitude, eliminating the need for BI extracts/imports and enabling companies to run their most mission-critical BI workloads directly on a lakehouse. With automatic recommendations and next-generation incremental updates, we've made it even easier for organizations to take advantage of this innovative technology. [Source: Business Wire] Reflection Recommender eliminates the need for labor-intensive manual data and workload analysis, making the process of obtaining the fastest and most intelligent query results effortless, requiring only a few simple actions. The user-friendly nature of the Reflection Recommender puts advanced query acceleration capabilities within the reach of all users, significantly saving both time and expenses. Dremio has also refined the process of refreshing Reflections to further bolster query performance and drive cost efficiencies. It now intelligently refreshes Reflections on Apache Iceberg tables, promptly capturing incremental data changes. This innovative approach obviates the requirement for complete data refreshes, resulting in speedier updates and reduced compute expenses. Dremio Reflections eliminates the need for data teams to export data from the data lakehouse into BI extracts or imports for analytical reasons and overcomes performance bottlenecks for BI dashboards and reports. In addition, Reflections negate the necessity of creating precomputed tables within the data lake or data warehouse to achieve sub-second performance for BI workloads, reducing the workload and complexity for data teams. About Dremio Dremio is a leading, easy and open data lakehouse solution provider, offering organizations the versatility of self-service analytics coupled with the functionality of a data warehouse and the flexibility of a data lake. Dremio's platform empowers users to harness the lightning-fast SQL query service alongside various processing engines, all on the same dataset. The company distinguishes itself through a pioneering data-as-code methodology akin to Git, which facilitates data experimentation, version control, and governance. This innovative approach enhances agility and empowers organizations to explore and manage their data resources with unprecedented efficiency. Furthermore, Dremio offers a fully managed service that expedites organizations' entry into analytics, allowing them to commence their data-driven journey within minutes.

Read More

Data Science

PingCAP Attains Coveted AWS Data and Analytics Competency Status

PingCAP | September 13, 2023

On September 12, 2023, PingCAP, a prominent distributed SQL database provider, announced its attainment of the coveted Amazon Web Services (AWS) Data and Analytics Competency status. This prestigious designation underscores PingCAP's track record of successfully assisting customers in collecting, storing, governing, and analyzing data at any scale. The achievement of AWS Data and Analytics Competency signifies PingCAP as a distinguished member of the AWS Partner Network (APN), specializing in software solutions tailored to assist enterprises in embracing, developing, and deploying intricate projects on the AWS platform. This designation is reserved for APN members with extensive AWS proficiency who deliver solutions seamlessly within the AWS environment. Moreover, PingCAP has also secured AWS Service Ready designations for both AWS PrivateLink and Amazon Linux 2. The AWS Service Ready Program rigorously assesses AWS partner solutions for compatibility with specific AWS services. To obtain these accolades, PingCAP underwent meticulous technical evaluations of its product architecture, received references from customers, and provided product documentation. By harnessing AWS PrivateLink, customers gain access to a streamlined experience for connecting PingCAP TiDB Cloud with other AWS services and applications, ensuring heightened security and adaptable network configuration. AWS empowers organizations of all sizes with scalable, flexible, and cost-effective solutions, ranging from startups to global enterprises. In support of seamless integration and deployment of these solutions, AWS has instituted the AWS Competency Program, enabling customers to identify AWS Partners with profound industry acumen and expertise. Eddie Xu, Director of Cloud Alliances at PingCAP, commented, We are thrilled to achieve the AWS Data and Analytics Competency. Many of our customers have made long-term strategic investments to build their digital businesses on AWS. Being a part of this program reflects PingCAP's commitment to delivering a solution that meets security, compliance, and efficiency standards in support of our customers scaling their transactional workloads on AWS. [Source: Globe Newswire] About PingCAP PingCAP, headquartered in Silicon Valley, is the visionary behind TiDB, an advanced, open-source, distributed SQL database. This database powers modern applications, boasting a streamlined tech stack, elastic scalability, real-time analytics, and uninterrupted access to data—all unified within a singular database solution. These innovative capabilities liberate emerging enterprises from the complexities of data infrastructure management, allowing them to set their sights firmly on the future. Some of the world's leading businesses across the travel, technology, financial services, web3, and gaming sectors trust TiDB to manage their mission-critical workloads.

Read More

Spotlight

The only business intelligence platform with data and analytics spanning the entire forest products value chain—from wood to biofuel. With a wealth of information and global coverage, Forestat Global helps decision-makers navigate the forest products-based market with confidence.

Resources