BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Privacera | September 12, 2022
Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced the availability of its AWS Lake Formation integration in private preview, which offers complete data governance automation and fine-grained data access for AWS services including Amazon S3, Amazon Redshift and Amazon RDS. Privacera helps enterprise data teams protect sensitive data and enable privacy across all on-premise, hybrid and multi-cloud data sources while reducing time to insights by automating outdated, manual governance processes.
Privacera is expanding its support and native integration for diverse AWS environments with the new AWS Lake Formation integration to simplify data access governance for complex and heterogeneous data lake and data mesh environments by extending Lake Formation enforcement to third-party services like Databricks, enabling additional governance use-cases. With this new integration, organizations will be able to accelerate their migration to the cloud by leveraging Privacera to securely manage data access policies within a single governance platform across diverse on-premise and cloud data sources. This will significantly reduce the efforts around data migrations to the cloud through increased automation and consistent policy management, and the ability to ensure compliance through an open, consistent and proven standard.
"Organizations operate in diverse data ecosystems, and it's becoming increasingly challenging to not only manage the data from a governance perspective, but ensure that organizations are gleaning timely insights securely through appropriate access controls and automation, and that's why Privacera exists," said Privacera CEO Balaji Ganesan. "As an AWS partner, expanding our capabilities with this new integration allows us to deliver a solution that leverages the strengths of both Privacera and AWS Lake Formation, helping organizations with a secure and simple approach to data access while delivering business value."
The latest integration will give users:
A unified data governance strategy including your lake formation data assets
AWS Lake Formation policy enforcement extended to popular data analytics systems like Databricks
An intuitive and easy-to-use interface to build data access policies on top of AWS Lake Formation
Financial services company Sun Life uses Privacera to accelerate AWS migration and unify data access governance and compliance. "Because Apache Ranger is critical to the success of our entire analytics platform, so is Privacera as it allows us to capitalize on existing technology and deliver critical data to our analytic teams quicker," said a Director of Cloud Infrastructure & Operations at Sun Life. "Our goal was to get our data into a data lake as quickly as possible and then apply access rules so approved Sun Life professionals can actually use the data to generate important insights. Requests that used to take three to four weeks to program can now be reacted to in less than two days."
Founded in 2016 by the creators of Apache Ranger™, Privacera's SaaS-based data security and governance platform enables analytics teams to simplify data access, security, and privacy for data applications and analytical workloads. The Privacera platform supports compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a unified view and control for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Snowflake, and Starburst. The Privacera platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, and consumer industries, as well as government agencies to automate sensitive data discovery, mask sensitive data, and manage high-fidelity policies at petabyte scale on-premises and in the cloud.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Precisely | October 17, 2022
Precisely, the global leader in data integrity, today announced it has been recognized by Gartner in the latest Market Share Analysis for Data Management Software (Excluding DBMS) Worldwide (subscription required) as the fifth highest ranked vendor by revenue in 2021, placing it higher than other industry heavyweights including Oracle and Microsoft.
The report additionally highlighted that Precisely experienced the highest growth among the top five vendors, with the successful acquisitions of Winshuttle and Infogix, as well as continued growth in both data integration and data quality.
“At Precisely, we’re on a mission to empower businesses to make better decisions based on trusted data. “It’s great to see the tremendous impact we’re making in the market. We continue to make strategic investments in our product portfolio, strategic services, customer support and tech partnerships to ultimately make our customers successful.”
Eric Yau, Precisely Chief Operating Officer
The top five listing follows the news of Gartner recognizing Precisely as a top three vendor for data integration software. The latest Market Share Analysis for Data Integration (excluding DBMS) Worldwide (subscription required) highlighted the Precisely portfolio for its suitability in supporting customers with data modernization initiatives – increasingly important as businesses seek to move data from traditional infrastructure into cloud-based environments. It additionally praised the Precisely Data Integrity Suite as being a “force multiplier” for growth in the data integration market.
“The Data Integrity Suite uniquely combines data integration with data quality and governance, location intelligence and data enrichment, forming an unbeatable solution for customers at any stage of their data integrity journey,” added Anjan Kundavaram, Chief Product Officer at Precisely.
Gartner does not endorse any vendor, product or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose. Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved.
Precisely is the global leader in data integrity, providing accuracy, consistency, and context in data for 12,000 customers in more than 100 countries, including 99 of the Fortune 100. Precisely’s data integration, data quality, data governance, location intelligence, and data enrichment products power better business decisions to create better outcomes.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Comet | November 17, 2022
Comet, provider of the leading MLOps platform for machine learning (ML) teams from startup to enterprise, today announced a bold new product: Kangas. Open sourced to democratize large scale visual dataset exploration and analysis for the computer vision and machine learning community, Kangas helps users understand and debug their data in a new and highly intuitive way. With Kangas, visualizations are generated in real time; enabling ML practitioners to group, sort, filter, query and interpret their structured and unstructured data to derive meaningful information and accelerate model development.
Data scientists often need to analyze large scale datasets both during the data preparation stage and model training, which can be overwhelming and time-consuming, especially when working on large scale datasets. Kangas makes it possible to intuitively explore, debug and analyze data in real time to quickly gain insights, leading to better, faster decisions. With Kangas, users are able to transform datasets of any scale into clear visualizations.
“A key component of data-centric Machine Learning is being able to understand how your training data impacts model results and where your model predictions are wrong. “Kangas accomplishes both of these goals and dramatically improves the experience for ML practitioners.”
Gideon Mendels, CEO and co-founder of Comet
Putting Large Scale Machine Learning Dataset Analysis at Your Fingertips
Developed with the unique needs of ML practitioners in mind, Kangas is a scalable, dynamic and interoperable tool that allows for the discovery of patterns buried deep within oceans of datasets. With Kangas, data scientists can query their large-scale datasets in a manner that is natural to their problem, allowing them to interact and engage with their data in novel ways.
Noteworthy benefits of Kangas include:
Unparalleled Scalability: Kangas was developed to handle large datasets with high performance.
Purpose Built: Computer Vision/ML concepts like scoring, bounding boxes and more are supported out-of-the-box, and statistics/charts are generated automatically.
Support for Different Forms of Media: Kangas is not limited to traditional text queries. It also supports images, videos and more.
Interoperability: Kangas can run in a notebook, as a standalone local app or even deployed as a web app. It ingests data in a simple format that makes it easy to work with whatever tooling data scientists already use.
Open Source: Kangas is 100% open source and is built by and for the ML community.
Kangas was designed for the entire community, to be embraced by students, researchers and the enterprise. As individuals and teams work to further their ML initiatives, they will be able to leverage the full benefits of Kangas. Being open source, all are able to contribute and further enhance it as well.
“Interoperability and flexibility are inherent in Comet’s value proposition, and Comet aims to expand on that value through open source contributions,” added Mendels. “Kangas is a continuation of all of our efforts, and we couldn’t wait to get its capabilities into the hands of as many data scientists, data engineers and ML engineers as possible. We believe by open sourcing it, Comet can help teams get the most out of their ML projects in ways that have not been possible previously.”
Kangas is available as an open source package for any type of use case. It will be available under Apache License 2 and is open to contributions from community members.
Comet provides an MLOps platform that data scientists and machine learning teams use to manage, optimize, and accelerate the development process across the entire ML lifecycle, from training runs to monitoring models in production. Comet’s platform is trusted by over 150 enterprise customers including Affirm, Cepsa, Etsy, Uber and Zappos. Individuals and academic teams use Comet’s platform to advance research in their fields of study. Founded in 2017, Comet is headquartered in New York, NY with a remote workforce in nine countries on four continents. Comet is free to individuals and academic teams. Startup, team, and enterprise licensing is also available.
BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT
Dynata | November 01, 2022
Dynata today announced it has appointed Mike Petrullo as chief executive officer (CEO), effective immediately. Petrullo succeeds Gary S. Laben, who served more than six years as CEO and led the company's transformational journey to becoming the world's largest first-party data platform for insights, activation and measurement.
Dynata has shaped a new model for the insights and marketing industry. The company has expanded from using first-party data to generate insights to more broadly leveraging those insights to activate marketing campaigns and measure results at scale. Dynata's transformation was recognized by clients and peers as the No. 1 Most Innovative Supplier in GreenBook's 2022 GRIT Top 50 report released in September, in addition to earning the top spots in the Data & Analytics and Field Service provider categories — the core strengths of Dynata's business.
Petrullo joins Dynata at a pivotal juncture in its strategic transformation. He brings more than 30 years' global executive-level experience in the business services and technology arenas, with particular focus on strategic planning, operational excellence, process improvement and change management. His background encompasses both high-growth environments, including building businesses organically and through mergers and acquisitions, and transformational environments, having successfully integrated large, complex businesses. Most recently, he served more than seven years as a member of the board of directors of DISA Global Solutions, and four years as CEO of Dodge Data & Analytics, a leading data, analytics and intelligence provider. Before joining Dodge, Petrullo served five-plus years as CEO and president of HireRight Solutions, Inc., a unified global software and data platform, and one of the world's top providers of pre-employment screening.
"I'm thrilled to join Dynata and build on the accomplishments and extraordinary work that's helped differentiate our business in the industry," Petrullo said. "We'll continue to empower our team members to deliver the highest-quality services to our clients. And as our industry evolves, we'll focus relentlessly on growing Dynata by investing in innovative products and solutions, and expanding our industry leadership in high-quality, fully permissioned first-party data — the cornerstone for accurate and actionable insights."
Dynata is the world's largest first-party data platform for insights, activation and measurement. With a reach that encompasses nearly 70 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum — from uncovering insights to activating campaigns and measuring cross-channel marketing ROI. Dynata serves more than 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe and Asia-Pacific.