BIG DATA MANAGEMENT

DataCore Software and Atempo Combine Forces in New Active Archive Solution

DataCore | April 25, 2022

DataCore
DataCore Software, the authority on software-defined storage, and Atempo, Data Protection and Data Management independent software vendor, are announcing today the integration of Atempo Miria Data Management platform with DataCore Swarm object storage software.

"Miria's new WORM capabilities for long-term archive now takes full advantage of the S3-compatible API and immutability options in DataCore Swarm, enabling granular time navigation through simple retrieval of multiple files at a given point in time." stated Louis Laszlo, Director of Product Management at Atempo. "It offers highly flexible configurations, high availability, and unmatched performance while reducing enterprise storage costs."

Organizations are primarily using Atempo Miria and DataCore Swarm for active archive,  preserving large volumes of multimedia files, like videos, so they can be quickly retrieved in full, or partially restored on-demand as short clips directly from Media Asset Managers (MAM) or from Miria's Web interface.

Additionally, the joint solution can be used to cost-effectively archive large dataset volumes while uncluttering expensive high-performance shared storage required for post-production work.

Miria's new capabilities make it very easy to store important files for long-term retention leveraging Swarm's WORM/immutability options to prevent ransomware, tampering or unintentional deletion.

"Customers favor the combination of Miria and Swarm for their active archive workflows for several reasons, including the open approach for managing and storing metadata with each object, the scalability of the joined solution as well as the high performances delivered. They benefit from a flexible and massively scalable archive where content is immediately accessible to users and workflows. Both solution elements have an extensive track record for addressing customers' challenges in rapidly scaling media library or sharing content between remote sites."

Ben Watson, Technical Director, Product Management for DataCore

The combined solution consists of Miria, the agile data management platform that leverages the highly flexible Swarm software-defined object storage, to simplify storage management and reduce costs, both of which are very important to organizations facing tight IT budgets and resources.

DataCore and Atempo teams are present at the 2022 edition of the NAB Show on booth #N431 for Atempo and booth #N7035 for DataCore.

About DataCore
DataCore Software delivers the industry's most flexible, intelligent, and powerful software-defined storage solutions for block, file and object storage, helping more than 10,000 customers worldwide modernize how they store, protect, and access data. The company's comprehensive product suite, intellectual property portfolio, and its unrivaled experience in storage virtualization and advanced data services, position DataCore as the authority on software-defined storage.

About Atempo
Atempo is a leading independent European-based software vendor with an established global presence providing solutions to protect, store, move and recover all mission-critical data sets for thousands of companies worldwide. With over 30 years' experience in data protection and data management, Atempo offers a portfolio enabling medium to large scale organization to tackle their core IT data protection challenges in addition on solving the new modern File Data Management fueling exabytes data pipelines in the digital economy.

Spotlight

Machine learning is a branch of computer science that is used to describe both explicitly programmed algorithms for supervised (prediction/classification) and unsupervised (clustering/feature detection) learning. Machine learning is a derived from the field of artificial intelligence (AI), which strives to provide computers with the ability to learn without being explicitly programmed.


Other News
BIG DATA MANAGEMENT

Aryballe Launches New Advanced Analytics Toolset

Aryballe | August 09, 2022

Aryballe, the pioneer in digital olfaction, today announced the launch of its Advanced Analytics toolset. Available exclusively in the cloud, Advanced Analytics is the first product in the global Aryballe SaaS platform, and is designed to support and provide remote access to data acquired using Aryballe NeOse Advance and Amplifier. Digital olfaction is catching the attention of manufacturers across an abundance of industries - from automotive to perfume and fragrance to consumer-packaged goods. It is increasingly becoming a tool for companies to ensure quality and consistency of their products and differentiate themselves from the competition. Through the use of tools such as Aryballe’s NeOse Advance with Advanced Analytics, users will gain improved sensor data analysis, which allows them to go beyond standard intensity and discrimination metrics. They will have access to higher-level metrics, such as chemical composition estimation via advanced machine learning, and advanced dataset filtering and outlier detection. Analyte zone selector is also available for customizing the window of sensor responses to analyze, which gives users more flexibility for complex samples. “It’s clearer than ever before that when it comes to optimizing odor and taste within the food industry, data analytics is power,” said Florian Viton, Vice President, R&D Management Executive at CJ CheilJedang. “Aryballe’s advanced analytics capabilities enable us to analyze digital odor data better, helping us enhance our digital transformation efforts and provide our consumers with the highest quality products.” Engineered to assist in chemical and olfactory analysis laboratories and product development, Aryballe’s Advanced Analytics solution provides users with a robust digital olfaction technology evaluation. It can be applied to three core scenarios: Improved assessment of measured samples for database building Enhanced flexibility for discriminating product samples Advanced metrics around limit of detection for intensity-based decision making “At Aryballe we are helping companies realize the power of the senses and introducing them to digital olfaction as a way to improve their manufacturing and quality control processes. “The introduction of Advanced Analytics will empower users to more quickly and better understand the data available to them and therefore apply it to important business decisions.” Sam Guilaumé, Aryballe CEO About Aryballe Based in Grenoble, France and founded in 2014, Aryballe combines biochemistry, advanced optics and machine learning to mimic the human sense of smell. The company’s premier product offering, NeOse Advance, uses silicon photonics technology to detect, record and recognize odor data, which powers improved decision making for R&D, quality control, manufacturing and end-user experiences. Aryballe Suite, the company’s cloud-enabled software, enables customers to intuitively access and customize analysis of odors based on their unique needs. With operations in France, South Korea and the USA, Aryballe works with global leaders in automotive, food manufacturing and flavor & fragrances.

Read More

BIG DATA MANAGEMENT

Tredence Inc. Recognized as 2022 Microsoft Analytics Partner of the Year

Tredence Inc. | July 05, 2022

Tredence Inc. today announced it has been named 2022 Microsoft Analytics Partner of the Year Finalist. The company was honored among a global field of top Microsoft partners for demonstrating excellence in innovation and implementation of customer solutions based on Microsoft technology. "Tredence is delighted to have been awarded 2022 Microsoft Analytics Partner of the Year Finalist from over 3,900 global nominations. This recognition demonstrates our enduring relationship with Microsoft, passion for excellence and commitment to modernizing our client's businesses with great Data & AI solutions," said Hari Natarajan, EVP & Chief Alliance Officer, Tredence. "As a Microsoft Gold partner, Tredence focuses on last-mile adoption of analytics to help enterprises accelerate their migration to the cloud while reducing costs and maintaining business agility." The Microsoft Partner of the Year Awards recognize Microsoft partners that have developed and delivered outstanding Microsoft-based applications, services and devices during the past year. Awards were classified in various categories, with honorees chosen from a set of more than 3,900 submitted nominations from more than 100 countries worldwide. Tredence was recognized for providing outstanding solutions and services in the US. This year, awards were presented in a variety of categories. Tredence has been named '2022 Microsoft Analytics Partner of the Year Award Finalist'. The company was recognized for providing outstanding work in the Analytics-Labor Planning (Workforce Forecast) category for one of the world's leading water treatment technologies and services providers. The company devised and deployed an Azure-based Data & AI solution to optimize labor planning at their DCs, for daily operations in inbound and outbound logistics. Leveraging Tredence's analytics and forecasting expertise and the power of Microsoft's visualization platform, the customer, could forecast and disseminate the insights to required stakeholders. The solution provided transformational benefits with 90% accuracy for 70% coverage at the day-DC level. "I am honored to announce the winners and finalists of the 2022 Microsoft Partner of the Year Awards," said Nick Parker, corporate vice president of Global Partner Solutions at Microsoft. "These partners were outstanding among the exceptional pool of nominees and I'm continuously impressed by their innovative use of Microsoft Cloud technologies and the impact for their customers." Microsoft Partner of the Year Awards are announced annually prior to the company's global partner conference, Microsoft Inspire, which will take place on July 19-20 this year. About Tredence Inc. Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The 'last mile' is the gap between insight creation and value realization. Headquartered in San Jose, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. Tredence is a Great Place to Work-Certified and as a 'Leader' in the Forrester Wave: Customer Analytics Services. Tredence is 1,700-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel and industrials as clients.

Read More

BIG DATA MANAGEMENT

Micro Focus' CyberRes Partners with Google Cloud to Enable High-Scale Secure Cloud Analytics with Data Privacy

CyberRes | August 08, 2022

CyberRes, a Micro Focus line of business, today announced a partnership with Google Cloud to support the upcoming release of BigQuery remote functions. The partnership will see CyberRes' end-to-end enterprise data protection solution, Voltage SecureData, integrate with Google's BigQuery data warehouse to accelerate and expand organizations' data science initiatives and help companies comply with ever-evolving privacy regulations. The integration will enable CyberRes Voltage customers to persistently protect data in use, in motion, and at rest in Google BigQuery. The support for remote functions also enables Google Cloud's BigQuery customers to take advantage of Voltage's privacy-enabling technologies. Mutual customers can use Voltage's format-preserving encryption, hashing, and tokenization services within BigQuery in conjunction with Google BigQuery's native security to address strict privacy compliance controls. Voltage's cloud-agnostic and consistent data protection allows all customers to safely use regulated data for analytics across hybrid clouds. "The availability of remote functions from BigQuery is an exciting and critical evolution of Google Cloud's platform for our customers. "The integration with Voltage SecureData means BigQuery will allow customers to utilize and support the Voltage data-centric protection approach for secure analytics, enabling enterprises to accelerate and expand their data science initiatives with privacy by default." Tony de la Lama, Vice President of Product Management, CyberRes BigQuery, Google Cloud's highly scalable multi-cloud data warehouse, is designed for business agility and allows customers to gain insights with real-time and predictive analytics, access data and securely share insights with ease. This new partnership adds to Voltage SecureData's deep capabilities in securing analytics across data warehouses, databases and data lakes and enables customers to shift workloads seamlessly and securely to BigQuery. "Emerging threats and evolving technology needs are at the forefront of challenges in cyber security. By making its Voltage SecureData solution available to Google Cloud customers from within their BigQuery data warehouse, CyberRes is enabling customers with the technologies needed to protect their sensitive data while addressing and adhering to current data privacy regulations," said Ritika Suri, Director, Technology Partnerships, Google Cloud. The CyberRes Voltage portfolio helps secure organizations with continuous data discovery, insight, and protection to reduce risk and enable privacy by design. Organizations can work with high-value, sensitive customer data in its protected state to derive business intelligence without the risk of data exposure in Google BigQuery. The data protection technologies in Voltage SecureData provide flexible implementation and data-centric protection for a virtually unlimited number of structured data types in any language, and in any region, with proven performance, reliability, and scalability. About CyberRes CyberRes is a Micro Focus line of business. We bring the expertise of one of the world's largest security portfolios to help our customers navigate the changing threat landscape by building both cyber and business resiliency within their teams and organizations. CyberRes is part of a larger set of digital transformation solutions that fight adverse conditions so businesses can continue to run today, keep the lights on, and transform to grow and take advantage of tomorrow's opportunities.

Read More

BIG DATA MANAGEMENT

RBC and Envestnet Data and Analytics announce agreement to provide clients with greater control over their financial data

RBC | June 14, 2022

RBC is pleased to announce a data access agreement with Envestnet | Yodlee, a leading data aggregation and analytics platform, to address the needs of an increasingly digital customer base. The agreement allows RBC clients to better manage their finances and build wealth by connecting to and sharing their RBC financial information with more than 1,500 third-party applications powered by the Envestnet | Yodlee platform. RBC becomes one of the largest banks in Canada to sign a data access agreement with Envestnet | Yodlee. The implementation of this agreement will empower RBC clients with the option to share their financial data, safely and securely with Envestnet | Yodlee through a direct application program interface (API) connection. This eliminates the need for them to share their RBC credentials, improves the accuracy of the data, and significantly accelerates financial data access. "RBC is committed to providing Canadians with industry-leading digital solutions that deliver more value, without compromising the security of their information. "This agreement is a great example of that commitment in action, and how the industry can come together to build new standards that better protect Canadians' data privacy." Peter Tilton, Chief Digital Officer, Personal & Commercial Banking, RBC This move to a direct API connection significantly reduces reliance on RBC client credentials for sharing financial information in Canada, and offers clients a better method to control the release of their account information, greater reliability, and higher speeds in accessing their account information. "Our relationship with RBC is vital for empowering their customers to make intelligent financial decisions," said Farouk Ferchichi, Group President, Envestnet Data and Analytics. "Through our agreement with RBC, we are giving their customers improved access to and control of their financial data, ultimately helping them grow, protect, and manage their wealth." Consumers often use mobile apps and tools to consolidate financial information and to assist with budgeting and managing their money. The implementation of this data access agreement with Envestnet | Yodlee will improve that customer experience. Additionally, RBC clients can now experience improved control and access when sharing their financial data with applications outside the bank. "Our clients want their primary banking relationship to be anchored with RBC, but they also want to be empowered to access, use and share their financial data with other applications," added Tilton. "As we deliver this added client value, it is more important than ever that we do so in a safe and secure manner. This agreement with Envestnet | Yodlee does just that. Not only do RBC clients gain secure access to the broad suite of apps and services Envestnet | Yodlee has to offer, but they also now have more confidence and control over the data that is shared." This new, industry partnership is a demonstration of both companies' long-standing commitment to add value, prioritize security and create peace of mind for clients as they manage their finances digitally. RBC clients also benefit from a wide range of RBC's digital security tools like PIN on Mobile, ID Verification, 2-Step Verification, Card Lock, two-way fraud alerts and fraud monitoring, in addition to the RBC Digital Banking Security Guarantee. These tools and this additional layer of protection through the data access agreement is timely, as privacy is a high priority right now with the rise of fraud attempts during the pandemic. According to RBC's 2022 Fraud Prevention Month Poll, 48% of respondents say fraudsters have increasingly targeted them since the start of the pandemic, compared to 22% in 2021. And Canadians aren't just feeling the increase in fraud attempts—the Canadian Anti-Fraud Centre has reported that incidents of ID fraud targeting financial credentials nearly doubled between 2019 and 2020, from about 9,000 to more than 17,000, and final numbers for 2021 are expected to double again. About RBC Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 89,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our 17 million clients in Canada, the U.S. and 27 other countries.

Read More

Spotlight

Machine learning is a branch of computer science that is used to describe both explicitly programmed algorithms for supervised (prediction/classification) and unsupervised (clustering/feature detection) learning. Machine learning is a derived from the field of artificial intelligence (AI), which strives to provide computers with the ability to learn without being explicitly programmed.

Resources