Phillips 66 | August 09, 2021
Phillips 66 is driving to expand its advanced analytics capabilities with an investment supporting Seeq, a developer of software applications for analyzing and sharing insights on process manufacturing data.
The investment is through the Altira Group, a venture capital firm that counts Seeq as one of its portfolio companies. It is the first investment by Phillips 66’s Digital Ventures organization, which is part of the AdvantEdge66 program launched by the company to drive digital transformation and innovation.
“Data can yield incredible value and insights when properly gathered and refined through advanced analytics,” said Zhanna Golodryga, Senior Vice President and Chief Digital and Administrative Officer for Phillips 66. “That’s why it’s important for us to collaborate with companies to advance innovation in the digital and analytics spaces. This investment provides a pathway for us to help Seeq grow and continue to improve its products, which we believe will be beneficial for our digital transformation journey.”
Seeq is a privately held virtual company headquartered in Seattle with a comprehensive set of process manufacturing and Industrial Internet of Things software applications. These applications, which include time-series data visualization tools, enable stakeholders to rapidly investigate, collaborate and distribute insights to improve operations and business outcomes.
About Phillips 66
Phillips 66 is a diversified energy manufacturing and logistics company. With a portfolio of Midstream, Chemicals, Refining, and Marketing and Specialties businesses, the company processes, transports, stores and markets fuels and products globally. Phillips 66 Partners, the company’s master limited partnership, is integral to the portfolio. Headquartered in Houston, the company has 14,000 employees committed to safety and operating excellence. Phillips 66 had $57 billion of assets as of June 30, 2021.
BIG DATA MANAGEMENT
Hitachi Vantara | August 20, 2021
Hitachi Vantara, the digital infrastructure, data management and analytics, and digital solutions subsidiary of Hitachi Ltd. (TSE: 6501), today announced the general availability of the next generation Lumada DataOps Suite.
The portfolio of data management and analytics software is designed to help businesses rapidly identify and utilize data to enhance customer experiences and provide a source of competitive advantage – from customer, operational and product intelligence to compliance and fraud management. The Lumada DataOps Suite helps lower the cost of data operations by using AI to place trusted data quickly into the hands of data analysts and business leaders.
Many organizations are struggling with data sprawl and the challenge of governing and gaining insights from 'dark', unused data. Wrangling data across on-premises and multicloud environments, and manually combing data for context and correlations takes time and strains many organizations' resources. Research by IDC suggests data workers waste as much as 50% of their time searching for and gaining access to data that may be locked in different data stores and diverse formats.1
"Sourcing quality data for analytics is one of the main inhibitors for innovation in data-driven organizations but the adoption of DataOps methodologies can drastically improve workflow among teams," said Stewart Bond, research director at IDC. "The ability to automate data management tasks with AI frees up data engineers to focus on more compelling initiatives, while simultaneously allowing self-service access for data consumers is a breakthrough in improving efficiency and collaboration."
"The ability to provide the right data, in the right hands, at the right time is a simple formula to enable data-driven outcomes," said Radhika Krishnan, Chief Product Officer at Hitachi Vantara. "The Lumada DataOps Suite transforms disparate data silos into one in which everyone can use a governed data fabric for innovation. Customers are enabled to tackle data complexity and reduce the time it takes to get access to data and to create valuable insights."
Lumada is Hitachi's advanced digital solutions and services for turning data into insights that drive digital innovation. The Lumada DataOps Suite is a modular software platform that features data integration, data analytics, data cataloging, and edge intelligence tools that help connect data, assets, and people to fuel innovation. Built with a modern cloud-native architecture, the Lumada DataOps Suite provides a scalable foundation for different Lumada software products which can be spun up and down across multiple cloud providers, increasing agility to manage data operations at scale while reducing cost through containerized deployments.
Providing a logical data fabric in a single, unified platform, the Lumada DataOps Suite consolidates data across silos, lines of business and applications to create a complete view of company-wide data. Leveraging AI to automate processes such as data discovery and cataloging lowers risk and decreases storage cost because data is intelligently labeled, governed and cross-referenced for version control and deduplication efforts. With time consuming manual tasks now automated, administrators can provide analytics teams with self-service access to comprehensive, trusted data for more informed decision making.
Trusted Data from the Edge to Multicloud
The Lumada DataOps Suite is powered by a new version of Pentaho, Hitachi's enterprise data integration and analytics platform. The new Pentaho 9.2 offers full Microsoft Azure support, expanding customer choice of public clouds and improving data pipelines across providers. The platform's open ecosystem now includes updated data store support for Cloudera Data Platform and HPE Ezmeral Data Fabric (MapR), allowing for greater flexibility and integration with existing ecosystems and analytics tools. Logging enhancements for Pentaho Business Analytics also improve installation cycles by bringing automated upgrades that lower maintenance costs and consolidate multiple licenses into one, easy-to-use ecosystem. Lumada Data Integration allows customers to seamlessly migrate to the DataOps Suite to take advanatage of its comprehensive data management capabilities.
Incorporating 'fingerprint' tagging technology gained through the acquisition of Waterline Data in 2020, Lumada Data Catalog leverages AI to provide customers with faster data discovery, and better data rationalization for improved governance and provisioning. Lumada Data Catalog intelligently identifies and analyzes duplicate copies of data to reduce the overall cost of storage and risks associated with using partial copies for analysis, often resulting in inaccurate insights.
Also new today are improved collaboration tools in search, filter and export functions of the self-service portal, empowering analytics teams to quickly and easily identify the most useful datasets for a given project.
"The increased scalability and multicloud support from the Lumada DataOps Suite enables us to expand our cross-system analysis to new customers with broader use cases that span multiple public clouds," said Peter Stanjeck, Senior Vice President with USU, one of Europe's largest vendors of IT and knowledge management software. "Pentaho enables us to offer customers cross-system analysis for their entire IT infrastructure and all their service processes in our USU Analytics platform."
"Modern, data-driven organizations need a cloud-native data analytics platform to transform their business, but the process of gathering data is a challenge for those navigating complex data processes across multiple clouds," said Scott Musson, Vice President, CSI & Global Channel Programs at Cloudera. "Alongside the Cloudera Data Platform, the CDP-certified, cloud-native foundation of the Lumada DataOps Suite will provide customers with flexibility and access to data. Together, we're delivering capabilities that reduce data friction that will enable data-driven innovation with speed and agility."
"Organizations are looking to be more data driven, and as such, are rapidly migrating from legacy, on-prem systems to modern, cloud-native data platforms. Streamlining the process of gathering data still proves a challenge for users navigating complex data processes across multiple clouds," said Sarah Branfman, MongoDB's VP of Technology Partners. "Combining MongoDB Atlas, MongoDB's official database-as-a-service, and Hitachi's cloud-native foundation of the Lumada DataOps Suite, provides customers with even greater flexibility, access to data and migration power. With Hitachi as part of MongoDB's Modernization Program, we are jointly delivering capabilities that simplify data modernization and ensure data-driven success across the entire data fabric."
"When companies cannot successfully leverage their data growth and turn it into trusted, high-value information, they begin to lose their agility and fall behind," said Michael Kienle, Managing Director, IT-Novum GmbH. "With Lumada DataOps Suite from Hitachi Vantara we can offer customers a single suite of integrated products that combines proven Hitachi technologies, AI, advanced analytics and data management capabilities."
The Lumada DataOps Suite, Pentaho 9.2 and Lumada Data Catalog 6.2 are available worldwide now from Hitachi Vantara and its global partner network.
About Hitachi Vantara
Hitachi Vantara, a wholly-owned subsidiary of Hitachi, Ltd., guides our customers from what's now to what's next by solving their digital challenges. Working alongside each customer, we apply our unmatched industrial and digital capabilities to their data and applications to benefit both business and society. More than 80% of the Fortune 100 trust Hitachi Vantara to help them develop new revenue streams, unlock competitive advantages, lower costs, enhance customer experiences, and deliver social and environmental value.
Cazena | November 02, 2020
Cazena today declared the dispatch of the Instant AWS Data Lake. Creation prepared in only minutes, the Instant AWS Data Lake is the quickest and most cost-proficient answer for undertakings new to AWS or battling through months-long DIY information lake ventures. The Instant AWS Data Lake has been created in partnership with AWS; Cazena is an AWS Partner Network (APN) Advanced Technology Partner.
With the Instant AWS Data Lake, Cazena currently gives a first-in-industry "simple catch" for AWS examination and moving undertakings' AI/ML activities forward. The Instant AWS Data Lake is prepared for examination in minutes, without requiring operational aptitudes or assets. All endeavors looking to modernize around cloud information lakes can now safely and quickly relocate to AWS, and advantage from the rich and consistently developing investigation stack that AWS offers. Cazena's Instant AWS Data Lake organizes and incorporates bunch AWS investigation administrations – from ingestion to examination – into a bound together, simple to-work, and creation prepared SaaS experience. This experience incorporates consistent associations with AWS solutions including EMR, Athena, Glue, MSK, S3, SageMaker, and more.
“Getting cloud data lakes off the ground continues to be a major source of frustration for enterprises,” said Prat Moghe, CEO, Cazena. “Production deployments often require a minimum of six months to get off the ground, and millions of dollars are spent annually on operations teams to build and manage them – if a business can recruit, hire, and retain this particularly scarce talent. Cazena’s Instant Cloud Data Lakes deliver a secure, hybrid, production-ready experience – with instant time-to-analytics – without requiring additional skills or resources. And we are delivering this SaaS solution at half the cost of DIY data lakes.”
“Cloud data lakes are increasingly the focus for teams building data engineering and data science. Modern cloud data lakes go far beyond storage and need to deliver capabilities for data ingestion, analytics, and AI/ML,” said Daniel Parton, Lead Data Scientist at Bardess, a business analytics and data strategy company using Cazena for cloud data lakes. “Cazena’s turnkey cloud data lake solution significantly reduces the time it takes to stand up a production data lake while addressing the complexity of managing the environment. Cazena’s ability to provide the Instant AWS Data Lake as a SaaS experience is particularly noteworthy for any enterprise embracing data science, machine learning and digital transformation.”
What is a cloud data lake?
Modern cloud data lakes are more than storage or cataloging – they represent the complete production analytical environment, from ingestion to storage to processing and tools. Cloud data lakes provide a flexible and unified analytical platform for enterprises that need to modernize their data environments and migrate analytical workloads to the cloud. Cloud data lakes are ideal environments for AI/ML, data engineering and other analytics since they support “beyond SQL” processing with multiple databases like SQL, Spark, Search, etc. Cloud data lakes complement cloud data warehouses which support SQL-only processing for BI.
The challenges of cloud data lakes
Enterprises continue to face several significant obstacles when deploying and managing cloud data lakes. A lack of skills remains among the biggest hurdles, and this often translates to months-long efforts to deploy production data lakes. Most of this effort is spent in bespoke DevOps around orchestration, identity management, security, compliance, and ongoing monitoring and operations of the end-to-end data lake environment.
Key benefits and capabilities of Cazena’s Instant AWS Data Lake:
Analytics that are ready in minutes. The Instant AWS Data Lake is an automated turnkey analytical environment, from ingestion to tools. The SaaS solution includes connectivity to on-premises data sources and users, security controls, and other mission-critical cloud resources. All AWS analytics services including EMR, Athena, SageMaker, MSK, Glue, and others are orchestrated, provisioned, and configured with unified identity management so that enterprise users can on-board immediately. The cloud data lake can be deployed either as a standalone account or attach to an enterprises’ existing AWS account.
Continuous ops that optimize costs and SLAs. The Instant AWS Data Lake is continuously monitored and optimized for workload performance, cost, and availability. Existing data teams can now use an AWS data lake without requiring dedicated DevOps or CloudOps resources. Cazena’s Instant AWS Data Lake solution is less than half the cost of typical do-it-yourself AWS data lakes – and without the headaches.
Built-in security and compliance as a private SaaS on AWS. Enterprises get their own Instant AWS Data Lake delivered as a private, fully secured cloud service that is encrypted and continuously monitored for security and compliance. Built-in controls are default for SOC-2, GDPR, HIPAA, CCPA, and other industry regulations.
Self-service analytics with one-click access to all tools: The Instant AWS Data Lake offers a comprehensive console for AWS analytical tools like SageMaker, QuickSight, and other third-party tools. BI analysts, data engineers, data scientists, and analytics-dependent users get secure one-click access to a complete cloud data lake with their favorite tools, whether in the cloud or from their on-premises environment.
Cazena makes cloud data lakes easy for all enterprises. Cazena’s Instant Cloud Data Lake accelerates time-to-analytics and AI/ML from months to minutes. Powered by its patented and fully-automated Open SaaS Data platform, Cazena delivers the first SaaS experience for data lakes – zero operations required. Founded by Netezza leaders, Cazena is revolutionizing cloud data lakes.