Big Data Management
PR Newswire | October 26, 2023
Databricks, the Data and AI company, today announced it has agreed to acquire Arcion, a Databricks Ventures portfolio company that helps enterprises quickly and reliably replicate data across on-prem, cloud databases and data platforms. This will enable Databricks to provide native solutions to ingest data from various databases and SaaS applications into the Databricks Lakehouse Platform. The transaction is valued at over $100 million, inclusive of incentives.
Data Lakehouse Platforms have emerged as the de facto standard for enterprise data and AI platforms. However, these data platforms are only as valuable as the data in them. Ingesting data from existing databases and applications remains complicated, fragile, and costly. Troves of important data sit not only in transactional databases such as Oracle, MySQL, and Postgres, but also in SaaS applications such as Salesforce, SAP, and Workday. According to a recent MIT Technology Review Insights and Databricks survey of senior data and technology executives ("Laying the foundation for data- and AI-led growth"), businesses still suffer from many siloed systems; 34% have 10+ systems, and of the largest companies, more than 80% have 10+ systems to juggle.
This acquisition will enable Databricks to natively provide a scalable, easy-to-use, and cost-effective solution to ingest data from various enterprise data sources. Building on a scalable change data capture (CDC) engine, Arcion offers connectors for over 20 enterprise databases and data warehouses. The integration will simplify ingesting such data either continuously or on-demand into the lakehouse, fully integrated with the enterprise security, governance, and compliance capabilities of the Databricks platform.
To build analytical dashboards, data applications, and AI models, data needs to be replicated from the systems of record like CRM, ERP, and enterprise apps to the Lakehouse, said Ali Ghodsi, Co-Founder and CEO at Databricks. Arcion's highly reliable and easy-to-use solution will enable our customers to make that data available almost instantly for faster and more informed decision-making. Arcion will be a great asset to Databricks, and we are excited to welcome the team and work with them to further develop solutions to help our customers accelerate their data and AI journeys.
"Arcion's real-time, large-scale CDC data pipeline technology extends Databricks' market-leading ETL solution to include replication of operational data in real-time," said Gary Hagmueller, CEO of Arcion. "Databricks has been a great partner and investor in Arcion, and we are very excited to join forces to help companies simplify and accelerate their data and AI business momentum."
Big Data Management
iTWire | October 30, 2023
AVEVA, is a global leader in industrial software, driving digital transformation and sustainability, has launched AVEVA PI Data Infrastructure, a fully-integrated hybrid data solution providing easy scalability, centralised management, and the ability to share data collaboratively via the cloud.
AVEVA PI Data Infrastructure is the latest offering in the market leading AVEVA PI System portfolio, which helps companies collect, enrich, analyse and visualise operations data to achieve deeper insight and operational excellence. Moving to hybrid infrastructure gives industrial companies the flexibility, scalability and security needed to deliver valuable, high-fidelity data to authorised users and applications in any location. The initial release also gives customers the option to use the OpenID Connect protocol for user authentication, enabling enterprise-wide single sign on. Other enterprise-class data management features will be delivered over several releases.
AVEVA PI Data Infrastructure makes it easier for companies to collect and use real-time operations data in industrial environments that increasingly include sensor-enabled legacy systems, remote assets and IIoT devices. The hybrid architecture gives data access to more decision makers who rely on operations data to resolve problems and develop business insights, thereby reducing the total cost and effort of operations data management. By achieving seamless data sharing with any trusted collaborator, companies can overcome costly data silos, modernise and streamline user access and aggregate real-time and historical data for wider use and consumption. AVEVA PI Data Infrastructure is available via subscription using AVEVA Flex credits.
Harpreet Gulati, SVP - Head of PI System Business at AVEVA, said, No other industrial software company offers a fully-integrated, seamless data infrastructure that enables the fast, secure flow of real-time, high-fidelity data to anywhere it is needed – across multiple plants, at the edge, or in a trusted community over the cloud – with complete data integrity. We want to provide our customers with the flexibility to deploy across any of these areas, enabling them to increase sustainability, operating efficiency, asset reliability, and organisational agility.
Customers are embracing the new offering. Giovanna Ruggieri, Head of ICT at Italy’s EP Produzione, a subsidiary of the European energy giant, EPH, commented: "EP Produzione is actively pursuing digital transformation to maximise operational excellence and improve processes to support the business. To continue the journey, and better embrace the digital transformation, we need greater flexibility and integration at all levels, a data infrastructure that can give us full visibility across our multi-site operating environment that always keeps cyber security as high priority.
"We appreciate AVEVA PI Data Infrastructure’s aggregate tag subscription model because it allows us to better manage our current and future needs in a smart way, with AVEVA currently proposing, for us, one of the best solutions on the market."
Big Data Management
Bloomberg | November 06, 2023
Bloomberg and Google Cloud integrate Data License Plus (DL+) with BigQuery for efficient data access and analytics.
Customers can access fully modeled data within BigQuery, eliminating data preparation time.
Mackenzie Investments adopts DL+ ESG Manager to host the acquisition, management, and publishing of Multi-vendor ESG data.
Bloomberg has unveiled a new offering designed to accelerate the data strategies of Google Cloud customers by integrating Bloomberg's cloud-based data management solution, Data License Plus (DL+), with Google Cloud's fully managed, serverless data warehouse, BigQuery.
Now, with access to Bloomberg's extensive experience modeling, managing, and delivering vast quantities of complex content, mutual customers can receive their Bloomberg Data License (DL) data, entirely modeled and seamlessly combined within BigQuery. As a result, organizations can leverage the advanced analytics capabilities of Google Cloud to extract more value from critical business information quickly and efficiently with minimal data wrangling.
Through this extended collaboration, customers can harness the powerful analytics features of BigQuery and tap into Bloomberg's extensive collection of datasets available through Data License to power their most essential workloads. Bloomberg's Data License content offers a wide variety, including reference, pricing, ESG, regulatory, estimates, fundamentals, and historical data, supporting operational, quantitative, and investment research workflows, covering over 70 million securities and 40,000 data fields.
Key benefits include:
Direct Access to Bloomberg Data in BigQuery: Bloomberg customers can seamlessly access Bloomberg Data License content within BigQuery, allowing for scalable use across their organization. This eliminates the time-consuming tasks of ingesting and structuring third-party datasets, thereby accelerating the time-to-value for analytics projects.
Elimination of Data Barriers: Google Cloud and Bloomberg will make Bloomberg's DL+ solution available to mutual customers via BigQuery. This allows for the delivery of fully modeled Bloomberg data and multi-vendor ESG content within their analytics workloads.
In a recent announcement, Bloomberg revealed that Mackenzie Investments has selected DL+ ESG Manager to host the acquisition, management, and publishing of multi-vendor ESG data. This move positions Mackenzie Investments to implement ESG investing strategies more efficiently and develop sophisticated ESG-focused insights and investment products, with BigQuery playing a central role in powering these analytics workloads moving forward.
Don Huff, the Global Head of Client Services and Operations at Bloomberg Data Management Services, stated that as capital markets firms are in the process of migrating their workloads to the Cloud, their customers require efficient access to high-quality data in a preferred environment. He expressed excitement about extending their partnership with Google Cloud, aiming to stay at the forefront of innovation in financial data management and to enhance their customers' enterprise analytics capabilities.
Stephen Orban, the VP of Migrations, ISVs, and Marketplace at Google Cloud, stated that Google Cloud and Bloomberg share a common commitment to empowering customers making data-driven decisions to power their businesses. He mentioned that the expanded alliance between the two companies would allow customers to effortlessly integrate Bloomberg's leading datasets with their own data within BigQuery. This would simplify the process of conducting analytics with valuable insights related to financial markets, regulations, ESG, and other critical business information.