— Delivering technology migration of oncology information system (OLTP) to reduce technology stack complexity while supporting 3000+ customer installations— Establishing architecture migration to hybrid cloud native transactional multi-tenant web application as second phase of technology migration— Managing global software product engineering team headquartered in the Bay Areawww.elekta.com

https://intendproject.eu/ | https://cordis.europa.eu/project/id/101135576INTEND's ambitious research in the three directions will lead to 11 novel software tools for the cognitive continuum, with a focus on intelligent operation of data pipelines. The integrated INTEND toolbox will realize the novel concept of intent-based data operation in the continuum: Data stakeholders chat with the toolbox about how they intend their data pipelines to perform in the continuum. Understanding the intents, the toolbox will keep adapting the data pipelines in the continuum and explain to the stakeholders what it did or could not achieve, in order that the stakeholders can trust the AI and collaborate with AI for better data operation.

https://enrichmydata.eu/ | https://cordis.europa.eu/project/id/101070284The overall vision of the enRichMyData project is to create a novel paradigm for building rich, high-quality, valuable, and FAIR-compliant datasets to feed downstream BDA and AI applications in the context of data-sharing ecosystems, such as data spaces. The paradigm facilitates the specification and execution of data enrichment pipelines, focusing on supporting various data enrichment operations. enRichMyData makes this easily accessible to a wide set of large and small organizations that encounter difficulties in delivering suitable data to feed their BDA and AI solutions due to the lack of usable tools/expertise for the cost-effective management of data enrichment pipelines.

https://graph-massivizer.eu/ | https://cordis.europa.eu/project/id/101093202Graph-Massivizer researches and develops a high-performance, scalable, and sustainable platform for information processing and reasoning based on the massive graph representation of extreme data. It delivers a toolkit of five open-source software tools and FAIR graph datasets covering the sustainable lifecycle of processing extreme data as massive graphs. The tools focus on holistic usability (from extreme data ingestion and massive graph creation), automated intelligence (through analytics and reasoning), performance modelling, and environmental sustainability tradeoffs, supported by credible data-driven evidence across the computing continuum.

— Implementing and delivering a cloud-agnostic PaaS platform for multi-cloud deployment— Supporting data-driven software development processes and deep learning loop— Enabling end-to-end data management for autonomous vehicle software engineering— Designing and implementing consistent and recoverable execution of process-data-microservice model— Defining strict operational semantics for configured process specifications, dynamic process changes, monitoring, error handling, process analytics and data analytics— Supporting geo-distribution and complete data life-cycle management— Enabling cost management and legal policy enforced long-term data archiving/retention— Implementing Data Mesh philosophy for data functionality in PaaS platformwww.bosch.com

https://datacloudproject.eu/ | https://cordis.europa.eu/project/id/101016835The overall vision of the DataCloud project is the creation of a novel paradigm for Big Data pipeline processing over heterogeneous resources encompassing the Computing Continuum, covering the complete lifecycle of managing Big Data pipelines.

— Advising and supporting international and multinational customers on large scale data processing and analysis with Terra - a scalable platform for biomedical research.abc.xyz | www.terra.bio

— Advised and supported international and multinational customers on global large-scale database and database migration architectures for cloud-based and cloud-native database technologies.— Published solutions and blog on different database and database migration topics (see Posts & Activity in LinkedIn and https://www.real-programmer.com).— Presented at international conferences and workshops; conducted internal and external training on Cloud-native databases and zero-downtime database migration (see https://www.real-programmer.com).Technologies— Cloud Spanner, Cloud SQL for MySQL, Cloud SQL for PostgreSQL, Cloud SQL for SQL Server— SQL Server, PostgreSQL, MySQL, Oracle— CockroachDB, YugabyteDB— Database Migration Service, Datastream, Striim— Multi-cloud database management, database migration consistency, zero downtime database migrationabc.xyz | cloud.google.com

peracton.comPeracton’s mission is to develop and exploit advanced Artificial Intelligence (AI) technologies to build, improve, test and execute complex investment and trading algorithms. Full automation, combined with AI technologies, are imperative since the human brain, excel spreadsheet or fixed constraints models just can’t handle the financial data volumes and volatility of the markets.

— Research, Architecture and Implementation in context of high-volume, high-scale Production Cloud Applications and PaaS Services— Next Generation PaaSDevelopment of a forward-recoverable service manager for service provisioning in the Oracle Cloud Infrastructure (OCI) for multi-tenant microservice-based PaaS implementation— Cloud StackDevelopment for a series of Cloud Stack templates for customer as well as Oracle managed PaaS services using Oracle Cloud Stack Manager technology— PaaS Service ProvisioningDevelopment of PaaS service blueprints for customer as well as Oracle managed PaaS services in Oracle Cloud Infrastructure (OCI) and Oracle Cloud Infrastructure Classic (OCI Classic)— ScalabilityLinearly scaling low-latency NoSQL cache scalability architecture of tenant-partitioned farm of key/value database system clusters— Platform Failure RecoverySeamless database fail-over / fallback / switch-over implementation based on Oracle RAC Multi-Node and Oracle RAC Database failure monitoring preventing unnecessary transaction aborts in a high-volume cloud application. Includes HA (high availability) and DR (disaster recovery) scenarios based on Oracle Active Data Guard— Technology Component AdvancementCore database technology replacement moving 3rd party non-relational database to Oracle TimesTen In-Memory Relational Database Management System including deployment for HA and DR use cases— Technology Leadership and MentoringGuiding junior, senior and principal engineers as well as engineering leads— Technology AdviserAdvising executive management and architecture team on topics of software technology and software engineering processeswww.oracle.comTechnologies— Kubernetes, Docker, Helm Charts— Oracle Cloud Stack, Oracle PSM, Oracle OCI, Oracle OCI-Classic— Oracle 11g RAC Database Cluster, Oracle 12c RAC Database Cluster— Oracle TimesTen In-Memory RDBMS

taiger.comTaiger is an Artificial Intelligence company focused on hybrid AI solutions to unlock your company's operational efficiency by streamlining cognitive tasks and document processing automation.

— Complete PaaS application provisioning system for Cloud Foundry— Deployment mode for stateful node.js applications— Application state recovery after cloud / application crash— Concurrent application revisions (for multi-revision application deployment)— Full application deployment life cycle (including application end-of-life events)— Automatic capacity-based application instance scaling (scale-up / scale-down)— Distributed consistency supervision between cloud and provisioning system state— Application execution state reconciliation on cloud or application restart— Provisioning meta data propagation from provisioning system to provisioned applications— Application subscription reporting and analyticswww.tropo.com | corp.tropo.com, acquired by Cisco Systems, Inc.Technologies— Cloud Foundry V1, V2 (Open Source PaaS)— Stackato 2.10, 3.0 (PaaS)— Java, Hibernate, Jersey, MySQL, PRISM (application server)— JavaScript, node.js, flatiron— WebStorm, Eclipse, Maven, git(VoxeoLabs, Inc. changed its name to Tropo, Inc.)

— Conceptualized, designed, engineered, and delivered complete JSON-native analytics client/server V1 product based on innovative hierarchical document algebra targeted towards NoSQL databases.— Declarative syntax and execution semantics for hierarchical document algebra. The algebra supports retrieving JSON documents as well as the creation of virtual properties and virtual collections ("views") on all levels of nesting of JSON documents in the universe of all connected (NoSQL) databases.— Dynamic type analysis of heterogeneous JSON/BSON documents resulting in a multi-schema representation for dynamic and static schemas in NoSQL databases.— Data access layer to any number of databases and data sources that are capable of providing JSON/BSON at their query interfaces.— Server-side REST-interface for distributed analytics computation supporting all clients capable of accessing REST-based interfaces. Supports all forms of deployments, including local, distributed, hosted (cloud) and mixed deployments.— Function extension mechanism to dynamically extend server with required mathematical and non-mathematical functions supporting the computation as required by the hierarchical algebra.— MongoDB-specific operational data access (server stats, database stats, collection stats) as full document-oriented collections to the end user. This enables reporting on operational MongoDB data itself.— Specialized analytics user interfaces, including a shell, an Excel client (plug-in with UDFs) as well as various programming language clients. All provide the complete analytics functionality to the end-user and operate over the server's REST interface.www.norellan.com (was: www.analytica.com)