BIG DATA MANAGEMENT

Akamai Launches Linode Managed Database

Akamai | April 26, 2022

Akamai
Akamai Technologies Inc., the cloud business that drives and protects life online, today announced the availability of a managed database service powered by Linode that supports MySQL, PostgreSQL, Redis, and MongoDB. Linode Managed Database from Akamai streamlines database deployment, assisting developers in reducing risk, increasing productivity, and reducing the complexity associated with manual administration of production database clusters.

Linode users have most often requested managed databases. Following its purchase of Linode in March of this year, Akamai's first product launch in its compute line of business is the Linode Managed Database service, confirming its ambition to establish the world’s most powerful and distributed computing platform from cloud to edge.

"Every web application needs a database. Being able to automate aspects of database management is critical for applications that need to be scalable, highly performant, and resilient. Linode Managed Database continues the important work, which began with Linode Kubernetes Engine – our managed Kubernetes service – of supporting developers, businesses, and partners by managing the day-to-day tasks of of mission critical components of their applications, allowing them to focus more on innovation and less on daily infrastructure management. With the click of a button, developers can have a fully managed database deployed and ready to be populated."

Will Charnock, Senior Director of Engineering, Akamai, Compute

Databases are the most important component of every program, yet maintaining them manually in production is a time-consuming and resource-intensive operation. Users could delegate typical deployment and maintenance chores to Linode and choose high availability options to guarantee that database performance and uptime are never compromised with Akamai's Linode Managed Database solution. As a consequence, less hands-on management knowledge is needed to install applications, and the risk of downtime is reduced as compared to manual administration.

Akamai will initially provide Linode Managed Database for MySQL across all of Linode's 11 worldwide data centers, with PostgreSQL, Redis, and MongoDB support coming in the second quarter of 2022. Customers can take advantage of features such as flat-rate pricing, security and recovery measures, flexible deployment choices, and high availability cluster choices with each supported managed database.

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DATA VISUALIZATION

Opaque Systems, Pioneer in Confidential Computing, Unveils the First Multi-Party Confidential AI and Analytics Platform

Opaque Systems | December 08, 2022

Opaque Systems, the pioneers of secure multi-party analytics and AI for Confidential Computing, today announced the latest advancements in Confidential AI and Analytics with the unveiling of its platform. The Opaque platform, built to unlock use cases in Confidential Computing, is created by the inventors of the popular MC2 open source project which was conceived in the RISELab at UC Berkeley. The Opaque Platform uniquely enables data scientists within and across organizations to securely share data and perform collaborative analytics directly on encrypted data protected by Trusted Execution Environments (TEEs). The platform further accelerates Confidential Computing use cases by enabling data scientists to leverage their existing SQL and Python skills to run analytics and machine learning while working with confidential data, overcoming the data analytics challenges inherent in TEEs due to their strict protection of how data is accessed and used. The Opaque platform advancements come on the heels of Opaque announcing its $22M Series A funding, Confidential Computing – projected to be a $54B market by 2026 by the Everest Group – provides a solution using TEEs or 'enclaves' that encrypt data during computation, isolating it from access, exposure and threats. However, TEEs have historically been challenging for data scientists due to the restricted access to data, lack of tools that enable data sharing and collaborative analytics, and the highly specialized skills needed to work with data encrypted in TEEs. The Opaque Platform overcomes these challenges by providing the first multi-party confidential analytics and AI solution that makes it possible to run frictionless analytics on encrypted data within TEEs, enable secure data sharing, and for the first time, enable multiple parties to perform collaborative analytics while ensuring each party only has access to the data they own. "Traditional approaches for protecting data and managing data privacy leave data exposed and at risk when being processed by applications, analytics, and machine learning (ML) models, The Opaque Confidential AI and Analytics Platform solves this challenge by enabling data scientists and analysts to perform scalable, secure analytics and machine learning directly on encrypted data within enclaves to unlock Confidential Computing use cases." -Rishabh Poddar, Co-founder & CEO, Opaque Systems. Strict privacy regulations result in sensitive data being difficult to access and analyze, said a Data Science Leader at a top US bank. New multi-party secure analytics and computational capabilities and Privacy Enhancing Technology from Opaque Systems will significantly improve the accuracy of AI/ML/NLP models and speed insights. The Opaque Confidential AI and Analytics Platform is designed to specifically ensure that both code and data within enclaves are inaccessible to other users or processes that are collocated on the system. Organizations can encrypt their confidential data on-premises, accelerate the transition of sensitive workloads to enclaves in Confidential Computing Clouds, and analyze encrypted data while ensuring it is never unencrypted during the lifecycle of the computation. Key capabilities and advancements include: Secure, Multi-Party Collaborative Analytics – Multiple data owners can pool their encrypted data together in the cloud, and jointly analyze the collective data without compromising confidentiality. Policy enforcement capabilities ensure the data owned by each party is never exposed to other data owners. Secure Data Sharing and Data Privacy – Teams across departments and across organizations can securely share data protected in TEEs while adhering to regulatory and compliance policies. Use cases requiring confidential data sharing include financial crime, drug research, ad targeting monetization and more. Data Protection Throughout the Lifecycle – Protects all sensitive data, including PII and SHI data, using advanced encryption and secure hardware enclave technology, throughout the lifecycle of computation—from data upload, to analytics and insights. Multi-tiered Security, Policy Enforcement, and Governance – Leverages multiple layers of security, including Intel® Software Guard Extensions, secure enclaves, advanced cryptography and policy enforcement to provide defense in depth, ensuring code integrity, data, and side-channel attack protection. Scalability and Orchestration of Enclave Clusters – Provides distributed confidential data processing across managed TEE clusters and automates orchestration of clusters overcoming performance and scaling challenges and supports secure inter-enclave communication. Confidential Computing is supported by all major cloud vendors including Microsoft Azure, Google Cloud and Amazon Web Services and major chip manufacturers including Intel and AMD. About Opaque Systems: Commercializing the open source MC2 technology invented at UC Berkeley by its founders, Opaque System provides the first collaborative analytics and AI platform for Confidential Computing. Opaque uniquely enables data to be securely shared and analyzed by multiple parties while maintaining complete confidentiality and protecting data end-to-end. The Opaque Platform leverages a novel combination of two key technologies layered on top of state-of-the-art cloud security—secure hardware enclaves and cryptographic fortification. This combination ensures that the overall computation is secure, fast, and scalable. The MC2 technology and Opaque innovation has already been adopted by several organizations, such as Ant Group, IBM, Scotiabank, and Ericsson.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Privacera Expands Data Governance Capabilities for Cloud Data Lakes with Native Aws Lake Formation Integration

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." About Privacera 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.

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BIG DATA MANAGEMENT, DATA ARCHITECTURE

Immuta Launches All Access Tour for Data Leaders

Immuta | October 13, 2022

Immuta, the leader in data access and data security, today announced the launch of The Immuta All Access Tour, its first owned event series that will highlight the latest trends and innovations in data security in seven major cities around the world. Each stop on the tour will feature a unique mix of thought leadership content, networking opportunities, and immersive experiences for customers and partners. Attendees will experience a variety of collaborative opportunities, including sessions with Immuta leaders, customers, and partners that explore how trailblazing companies are addressing data access and security. Additionally, stops will feature specialized data-fueled speaking sessions and keynotes. The first tour event in New York City will feature sessions with data leaders at JPMorgan Chase and Thomson Reuters, a keynote from Immuta CEO and co-founder Mathew Carroll, and a fire-side chat with former Navy Seal Commander and VMware Chief Operating Officer Mike Hayes. Tour stops include: New York City, NY - Oct 18, 2022 Sydney, AUS - Nov 10, 2022 London, UK - Jan 19, 2023 Dallas, TX - Feb 23, 2023 Washington, DC - Mar 22, 2023 San Francisco, CA - Mar 28, 2023 Boston, MA - Date coming soon “We’re excited to host our first all-access tour that will feature thought-provoking content, high-caliber speakers, and prime networking opportunities with peers and industry leaders. “Attendees will leave energized with enhanced insights and perspectives that will enable them to bring game-changing data security innovation and best practices to their respective organizations to accelerate and remove any barriers to secure data access.” Immuta CEO Matt Carroll The events, sponsored by Snowflake, Databricks, Alation, and EY have a limited capacity, with each guest bringing their unique real-world experience to the table while building and strengthening their networks. The size of these events is meant to foster important discussions between attendees, speakers, and hosts. About Immuta Immuta is the market leader in secure Data Access, providing data teams one universal platform to control access to analytical data sets in the cloud. Only Immuta can automate access to data by discovering, protecting, and monitoring data. Data-driven organizations worldwide trust Immuta to speed time to data, safely share more data with more users, and mitigate the risk of data leaks and breaches. Founded in 2015, Immuta is headquartered in Boston, MA

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Treasure Data Works with Amazon Marketing Cloud to Develop Turn-Key Integration to Enrich Customer Experiences

Treasure Data | October 31, 2022

Treasure Data, an award-winning enterprise customer data platform (CDP), today announced an integration with Amazon Marketing Cloud, a clean room solution by Amazon Ads, to help advertisers better understand audience segments, advertising performance, and streamline insight generation. Treasure Data is the first CDP vendor integrated with Amazon Marketing Cloud. Marketers are increasingly using CDPs to maintain their first party CRM information. At the same time, it is estimated that 80% of advertisers with media budgets of $1 billion or more plan to utilize clean rooms by 2023. To help advertisers acquire more value from their clean room experiences, this seamless integration between Treasure Data's CDP and Amazon Marketing Cloud, enables enterprises to develop richer and more timely insights for optimized marketing, advertising, and campaign investments. "As a pioneer in the CDP industry, Treasure Data is honored to be the first customer data platform to have completed this unique integration with Amazon Marketing Cloud. "The integration helps our customers to increase the overall effectiveness of their marketing and advertising campaigns with this global and privacy-safe solution." John Baudino, Vice President of Partnerships at Treasure Data Treasure Data customers using Amazon Ads for campaigns will now be able to easily send curated audiences to Amazon Marketing Cloud for enhanced and aggregated and anonymized insights such as audiences' in-market groups, lifestyle cohorts, and brand engagement patterns. The enriched segments derived from Amazon Marketing Cloud insights can then be used to fine-tune audience strategy for an advertiser's Amazon DSP campaigns. Audience insights returned are aggregated and anonymous. Features enabled through the integrations will be available to customers through the Treasure Data Marketplace. About Treasure Data Treasure Data Customer Data Cloud helps enterprises use all of their customer data to improve campaign performance, achieve operational efficiency, and drive business value with connected customer experiences. Our suite of customer data platform solutions integrates customer data, connects identities in unified customer profiles, applies privacy, and makes insights and predictions available for Marketing, Service, Sales and Operations to drive personalized engagement and improve customer acquisition, sales, and retention.

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Regels en wetgeving veranderen continu, daarom heb je technologie nodig om je snel te kunnen aanpassen. Zorg dat je problemen op het gebied van beveiliging en compliance voor bent met Microsoft 365. Ontdek hoe je met Microsoft 365 de volgend taken eenvoudiger kunt uitvoeren: Data identificeren en categoriseren; Regels en wetgevi

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