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Privacera Announce Achieving AWS Data and Analytics Competency Status

Privacera | January 05, 2023 | Read time : 02:00 min

Privacera Announce Achieving AWS Data and Analytics Competency Status

On January 4, 2023, Privacera, a leader in data security governance based on open standards and started by the people who made Apache RangerTM, announced that it had achieved Data and Analytics Competency status in the Data Governance and Security category from Amazon Web Services (AWS). This designation shows that Privacera has proven expertise or technology that helps customers reach their cloud data and analytics goals.

Gaining the AWS Data and Analytics Competency sets Privacera apart as an AWS Partner Network (APN) member that offers specialized software or consulting services to assist enterprises in developing, adopting, and deploying complex projects on AWS. To achieve the designation, AWS Partners must have a deep understanding of AWS and be able to deliver solutions that work well on AWS.

Enterprise data teams are increasingly using AWS to create heterogeneous data meshes and lakes. The Unified Platform for Data Security and Governance from Privacera helps these teams protect sensitive data and ensure privacy while automating manual governance processes to speed up the time to insights.

At the same time, organizations will be able to speed up their cloud migration by using Privacera to securely manage data access policies across various on-premises and cloud data sources from a single governance platform. This will make data migration to AWS easier by increasing automation, making policy management more consistent, and ensuring compliance through an open, consistent, and proven standard.

About Privacera

Privacera, founded by the creators of Apache RangerTM in 2016, is a SaaS-based data security and access governance platform provider. The company allows data and security teams to simplify data access, privacy, and security for data applications and analytical workloads. The Privacera platform supports compliance with various regulations such as LGPD, GDPR, HIPAA, and CCPA. Privacera offers a single view and set of controls for protecting sensitive data across multiple cloud services, such as Databricks, Snowflake, Starburst, Dremio, and others. The Privacera platform is used by Fortune 500 customers in the life sciences, finance, insurance, media, retail, and consumer industries, as well as by governmental bodies, to manage high-fidelity policies, mask sensitive data, and automate sensitive data discovery at petabyte scale on-premises and in the cloud.

Spotlight

Understanding User Entity and Behavior Analytics (UEBA)

User Entity and Behavior Analytics (UEBA) is a cybersecurity technology and approach that focuses on analyzing the behavior of users and entities (such as devices, applications, and systems) within an organization's IT environment. By using advanced data analytics, machine learning algorithms, and artificial intelligence, UEBA aims to detect and prevent cyber threats by identifying anomalies, deviations, or patterns in user and entity activities that might indicate potential security risks.


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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.

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Big Data Management

Reltio Set to Transform Data Management with AI-Powered MDM Solution

Reltio | September 20, 2023

Reltio, a leading modern data management solutions provider, has introduced an innovative AI-powered Master Data Management (MDM) solution. For over a decade, Reltio has been a pioneer in data management, offering a leading cloud-native SaaS MDM solution. The firm is poised to preview novel AI-driven capabilities tailored to meet the growing demand for delivering customers more insightful and timely intelligence powered by reliable data. Participants at the upcoming DataDriven23 conference, taking place from October 3 to 5 in Dallas, TX, will have the opportunity to directly engage with Reltio's innovations and witness how AI is poised to revolutionize MDM, enhancing the quality of data that shapes business outcomes. During the event, experts will showcase three pivotal AI-driven solution capabilities designed to drive remarkable 10X enhancements: Generative AI-driven Search and Data Visualizations: Powered by Reltio's AI-powered MDM platform, enterprises can swiftly pinpoint critical data segments and data visualizations to the Reltio UI, facilitated by a conversational interface powered by GenAI. This simplifies the process of data analysis within Reltio. Increased Data Steward Productivity: Harnessing the power of Machine Learning, Reltio's latest capabilities aim to further automate entity resolution and data quality management processes and enhance data precision while boosting data steward efficiency by 10X. Automated Predictions: Reltio's new AI-driven MDM platform empowers businesses to effortlessly anticipate key insights using propensity models. This aids in identifying crucial customer segments, thereby fostering higher customer acquisition and retention rates. Reltio remains committed to continuous investment in machine learning-based automation within Reltio's Connected Data Platform 2023.3. This includes the introduction of new features in entity resolution and data quality anomaly detection designed to expedite MDM implementations, fortify data unification, and elevate the productivity of data teams. About Reltio Reltio, a renowned leader in modern data management, believes steadfastly in the critical role of data in driving business achievements. The firm is well-known for its cutting-edge data management platform, which effortlessly integrates vital data from different sources into a unified repository of reliable information. This combination of pristine, interconnected, and actionable data empowers Reltio's esteemed clientele to enhance operational efficiency, mitigate risk, and foster sustainable growth. The solution has received praise and is utilized by prominent corporate brands across a wide range of sectors in over 140 countries.

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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.

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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

Big Data Management

Reltio Set to Transform Data Management with AI-Powered MDM Solution

Reltio | September 20, 2023

Reltio, a leading modern data management solutions provider, has introduced an innovative AI-powered Master Data Management (MDM) solution. For over a decade, Reltio has been a pioneer in data management, offering a leading cloud-native SaaS MDM solution. The firm is poised to preview novel AI-driven capabilities tailored to meet the growing demand for delivering customers more insightful and timely intelligence powered by reliable data. Participants at the upcoming DataDriven23 conference, taking place from October 3 to 5 in Dallas, TX, will have the opportunity to directly engage with Reltio's innovations and witness how AI is poised to revolutionize MDM, enhancing the quality of data that shapes business outcomes. During the event, experts will showcase three pivotal AI-driven solution capabilities designed to drive remarkable 10X enhancements: Generative AI-driven Search and Data Visualizations: Powered by Reltio's AI-powered MDM platform, enterprises can swiftly pinpoint critical data segments and data visualizations to the Reltio UI, facilitated by a conversational interface powered by GenAI. This simplifies the process of data analysis within Reltio. Increased Data Steward Productivity: Harnessing the power of Machine Learning, Reltio's latest capabilities aim to further automate entity resolution and data quality management processes and enhance data precision while boosting data steward efficiency by 10X. Automated Predictions: Reltio's new AI-driven MDM platform empowers businesses to effortlessly anticipate key insights using propensity models. This aids in identifying crucial customer segments, thereby fostering higher customer acquisition and retention rates. Reltio remains committed to continuous investment in machine learning-based automation within Reltio's Connected Data Platform 2023.3. This includes the introduction of new features in entity resolution and data quality anomaly detection designed to expedite MDM implementations, fortify data unification, and elevate the productivity of data teams. About Reltio Reltio, a renowned leader in modern data management, believes steadfastly in the critical role of data in driving business achievements. The firm is well-known for its cutting-edge data management platform, which effortlessly integrates vital data from different sources into a unified repository of reliable information. This combination of pristine, interconnected, and actionable data empowers Reltio's esteemed clientele to enhance operational efficiency, mitigate risk, and foster sustainable growth. The solution has received praise and is utilized by prominent corporate brands across a wide range of sectors in over 140 countries.

Read More

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

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Understanding User Entity and Behavior Analytics (UEBA)

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