Vertica | June 08, 2022
Vertica, a Micro Focus line of business, today announced the release of version 12 of the Vertica analytical database. Vertica 12 includes new major features and enhancements for analytics and machine learning across multi-cloud, hybrid on-premises and cloud, and multi-regional deployments.
The announcement was made during Vertica Unify 2022, the organization's annual user conference, where attendees learned that Vertica 12 users can now choose from the broadest range of deployment options on the market, with improved automation capabilities as well, to future-proof analytics against constantly changing technology requirements.
"While many companies are being forced to choose their analytics deployment strategy, to commit to one thing –public cloud, on-premises, or hybrid –no one knows exactly what the future may hold. "With Vertica 12, we have developed a completely flexible platform that is seamlessly hybrid. It is as capable of deploying in a SaaS model as it is on-premises. The continuous advancement of our analytical capabilities means that no matter what your future data strategies may hold, Vertica brings powerful analytics to your data."
Scott Richards, Senior Vice President and General Manager, Vertica at Micro Focus
In addition to supporting more on-premises object stores, Vertica 12 expands its Kubernetes support beyond AWS S3 to Google Cloud Storage (GCS), Azure Blob Storage and Hadoop Distributed Filesystem Storage (HDFS), making it fully cloud-native in any environment. Vertica's cloud-optimized architecture also has been enhanced with intelligent subclustering to better manage variable workloads and data sharing, helping to assign costs to owners in a logical way.
On the integration front, Vertica 12 increases the interaction with the data analytics ecosystem. Customers will benefit because key proprietary and open-source technologies work seamlessly, including a new version of VerticaPy, the Vertica Python and Jupyter Notebook interface, as well as an enhanced Spark connector and broadened PMML support.
The core analytical database within the Micro Focus software portfolio, Vertica is the Unified Analytics Platform, based on a massively scalable architecture with the broadest set of analytical functions spanning event and time series, pattern matching, geospatial, and end-to-end in-database machine learning. Vertica enables many customers – from Agoda to Philips to many others – to easily apply these powerful functions to the largest and most demanding analytical workloads, arming businesses and their customers with predictive business insights faster than any analytical database or data warehouse in the market.
Privacera | May 13, 2022
Privacera, the unified data access governance leader founded by the creators of Apache Ranger™, today announced the release of Privacera Platform 6.3 and PrivaceraCloud 4.3, which offer complete data governance automation and expanded support across the cloud partner ecosystem.
The new releases dramatically expand the Privacera Access Governance Platform's ability to secure a diverse and increasing number of data sources and analytical workloads offered by leading public and third-party cloud service providers, such as Google Cloud's BigQuery, Snowflake, AWS, and Starburst.
"Privacera pioneered the industry's first SaaS-based data governance and security solution that integrates privacy and compliance across multiple cloud services. Our latest releases not only help organizations use data effectively and responsibly, but also accelerate digital transformation by helping organizations safely migrate data to the cloud, while minimizing compliance risk. By expanding the scope of our platforms, we're even better equipped to guide organizations along their data journeys."
Privacera CEO Balaji Ganesan
A key milestone with this new release is that Privacera now brings the industry's first comprehensive data access and security governance solution to Google BigQuery. BigQuery, Google's serverless data warehouse solution, is rapidly gaining popularity and with this release we provide fine grained access control and data masking capabilities, as well as the ability to discover and tag sensitive data to help manage data access to data stored and processed in BigQuery.
Privacera has also enhanced access control by extending Attribute Based Access Control (ABAC) across all supported data and analytical sources. ABAC is a powerful approach to simplifying and automating data access governance, especially when combined with Privacera's Role Based Access Control (RBAC) and tag-based access control. Privacera's ABAC leverages user attributes, such as region, title, and department when creating data access policies, thus allowing data access based on those attributes. Integration with access management solutions, such as Okta, further automates the data access governance process.
The new release also further expands support for Starburst Enterprise by adding encryption to accelerate and improve secure data sharing by automatically encrypting and decrypting data for authorized users or applications when they access it. As a result, data science and analytics teams can securely utilize more data, build and refine predictive and machine learning models, and increase their accuracy, utilizing the full array of features in their organization's data.
"We partnered with Privacera two years ago to provide enterprises with centralized, secure access to data with end-to-end governance and compliance," said Starburst co-founder and CEO Justin Borgman. "In a world where data is fundamental to the success of every business, Privacera offers solutions to help move organizations into the future. We look forward to continuing our partnership for years to come."
Privacera's SaaS-based data security and governance platform enables analytics teams to access data without compromising compliance with regulations such as GDPR, CCPA, LGPD, and HIPAA. Privacera provides a single pane of glass for securing sensitive data across multiple cloud services such as AWS, Azure, Databricks, GCP, Starburst and Snowflake. Privacera's platform is utilized by Fortune 500 customers across finance, insurance, life sciences, retail, media, consumer industries and federal agencies/government to automate sensitive data discovery and easily manage high-fidelity policy management at petabyte scale on-prem and in the cloud. Headquartered in Fremont, California, Privacera was founded in 2016 by the creators of Apache Ranger™.
Databricks | January 14, 2022
Databricks, the Data and AI company and pioneer of the data lakehouse architecture, today announced the Databricks Lakehouse for Retail, the company's first industry-specific data lakehouse for retailers and consumer goods (CG) customers. With Databricks' Lakehouse for Retail, data teams are enabled with a centralized data and AI platform that is tailored to help solve the most critical data challenges that retailers, partners, and their suppliers are facing. Early adopters of Databricks' Lakehouse for Retail include industry-leading customers and partners like Walgreens, Columbia, H&M Group, Reckitt, Restaurant Brands International, 84.51°(a subsidiary of Kroger Co.), Co-Op Food, Gousto, Acosta and more.
"As the retail and healthcare industries continue to undergo transformative change, Walgreens has embraced a modern, collaborative data platform that provides a competitive edge to the business and, most importantly, equips our pharmacists and technicians with timely, accurate patient insights for better healthcare outcomes," said Luigi Guadagno, Vice President, Pharmacy and HealthCare Platform Technology at Walgreens. "With hundreds of millions of prescriptions processed by Walgreens each year, Databricks' Lakehouse for Retail allows us to unify all of this data and store it in one place for a full range of analytics and ML workloads. By eliminating complex and costly legacy data silos, we've enabled cross-domain collaboration with an intelligent, unified data platform that gives us the flexibility to adapt, scale and better serve our customers and patients."
"Databricks has always innovated on behalf of our customers and the vision of lakehouse helps solve many of the challenges retail organizations have told us they're facing," said Ali Ghodsi, CEO and Co-Founder at Databricks. "This is an important milestone on our journey to help organizations operate in real-time, deliver more accurate analysis, and leverage all of their customer data to uncover valuable insights. Lakehouse for Retail will empower data-driven collaboration and sharing across businesses and partners in the retail industry."
Databricks' Lakehouse for Retail delivers an open, flexible data platform, data collaboration and sharing, and a collection of powerful tools and partners for the retail and consumer goods industries. Designed to jumpstart the analytics process, new Lakehouse for Retail Solution Accelerators offer a blueprint of data analytics and machine learning use cases and best practices to save weeks or months of development time for an organization's data engineers and data scientists. Popular solution accelerators for Databricks' Lakehouse for Retail customers include:
Real-time Streaming Data Ingestion: Power real-time decisions critical to winning in omnichannel retail with point-of-sale, mobile application, inventory and fulfillment data.
Demand forecasting and time-series forecasting: Generate more accurate forecasts in less time with fine-grained demand forecasting to better predict demand for all items and stores.
ML-powered recommendation engines: Specific recommendations models for every stage of the buyer journey - including neural network, collaborative filtering, content-based recommendations and more - enable retailers to create a more personalized customer experience.
Customer Lifetime Value: Examine customer attrition, better predict behaviors of churn, and segment consumers by lifetime and value with a collection of customer analytics accelerators to help improve decisions on product development and personalized promotions.
Additionally, industry-leading Databricks partners like Deloitte and Tredence are driving lakehouse vision and value by delivering pre-built analytics solutions on the lakehouse platform that address real-time customer use cases. Tailor-made for the retail industry, featured partner solutions and platforms include:
Deloitte's Trellis solution accelerator for the retail industry is one of many examples of how Deloitte and client partners are adopting the Databricks Lakehouse architecture construct and platform to deliver end-to-end data and AI/ML capabilities in a simple, holistic, and cost-effective way. Trellis provides capabilities that solve retail clients' complex challenges around forecasting, replenishment, procurement, pricing, and promotion services. Deloitte has leveraged their deep industry and client expertise to build an integrated, secured, and multi-cloud ready "as-a-service" solution accelerator on top of Databricks' Lakehouse platform that can be rapidly customized as appropriate based on client's unique needs. Trellis has proven to be a game-changer for our joint clients as it allows them to focus on the critical shifts occurring both on the demand and supply side with the ability to assess recommendations, associated impact, and insights in real-time that result in significant improvement to both topline and bottom line numbers.
Tredence will meet the explosive enterprise Data, AI & ML demand and deliver real-time transformative industry value for their business by delivering solutions for Lakehouse for Retail. The partnership first launched the On-Shelf Availability Solution (OSA) accelerator in August 2021, combining Databricks' data processing capability and Tredence's AI/ML expertise to enable Retail, CPG & Manufacturers to solve their trillion dollar out-of-stock challenge. Now with Lakehouse for Retail, Tredence and Databricks will jointly expand the portfolio of industry solutions to address other customer challenges and drive global scale together.
Databricks is the data and AI company. More than 5,000 organizations worldwide — including Comcast, Condé Nast, H&M, and over 40% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world's toughest problems.
Veeva Systems | April 27, 2022
Veeva Systems today announced Veeva Data Cloud, a group of cloud data applications that includes Veeva OpenData customer reference data, Veeva Link for real-time intelligence, and Veeva Compass patient, prescriber, and sales data for the U.S. market. Veeva Data Cloud reflects the company's long-term commitment to delivering better data to the industry, all on a common data architecture. Taking a new approach, Veeva Data Cloud delivers unlimited access to data through modern cloud software for greater flexibility and data that's always up to date.
"Commercial excellence is about getting your products to the patients that need them. With Veeva Data Cloud's modern approach and common data architecture, sales, medical, and marketing teams can work together in a more coordinated, customer-centric, and compliant way."
Veeva CEO Peter Gassner
Veeva Data Cloud's three major product families all share a common data architecture and "better data, better delivery" approach:
Veeva OpenData is customer reference data, including healthcare provider (HCP) and healthcare organization data, and the affiliations between them. OpenData delivers high-quality data with no usage restrictions in more than 65 countries today, with plans for more than 100 countries by the end of 2023.
Veeva Link data applications deliver real-time intelligence on key scientific and medical experts, health systems, scientific awareness and sentiment, and medical insights.
Veeva Compass is a suite of U.S. longitudinal patient, longitudinal prescriber, and sales data for a wide range of commercial use cases, including launch planning, HCP segmentation and targeting, incentive compensation, and patient journey analytics. Veeva Compass Patient and Veeva Compass Prescriber are available today, with Veeva Compass Sales planned for availability in late 2022.
Veeva Data Cloud and Veeva Commercial Cloud share a common data architecture so customers can work seamlessly across sales, medical, and marketing. This common data architecture includes shared definitions for data elements such as brands, doctors, products, content, and interactions.
For more information, see the Veeva Summit keynotes on-demand at veeva.com/SummitKeynotes. Life sciences industry professionals can also register for the Veeva Commercial Summit for sales, medical, and marketing in Boston on May 5.
About Veeva Systems
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world's largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.