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С V века до н. э. — группа античных поселений. На территории Одессы и Одесского залива когда-то была расположена древнегреческая колония, остатки которой были обнаружены прямо под нынешним Приморским бульваром. Уровень воды был иным, более низким, и береговая линия проходила намного дальше, чем сейчас находится Одесский маяк. Именно недалеко от маяка и за ним до сих пор иногда находят древнегреческие артефакты. Из-за более низкого уровня воды Тендровская коса продолжалась значительно дальше, чем сейчас, и поселение в районе маяка фактически контролировало выход из устья Буга и Днепра в Чёрное море, и таким образом, имело стратегическое значение. Археологические артефакты подтверждают существование связей между Одесским регионом и восточным Средиземноморьем. В Средневековье территория Одессы находилась во владении различных кочевых племён (печенеговполовцев), Золотой ОрдыКрымского ханстваВеликого княжества Литовского, и Османской империи.

Современный город как военно-морской и торговый порт на Чёрном море основан Российской империей в 1794 году на месте татаро-турецкого поселения Хаджибей (известного, согласно гипотезе А. И. Маркевича, с XV века), отошедшего к России в 1791 году; переименован в Одессу (предположительно, от античного города Одессос) в 1795 году. К концу XIX века Одесса превратилась в четвёртый по количеству населения город и второй по грузообороту порт Российской империи. Начиная с 20-х годов XX века — один из крупнейших городов Украинской ССР, с 1991 года — независимой Украины.

 

Официально историю Одессы как города принято отсчитывать с 1794 года[10], когда 27 мая (7 июня1794 года императрица Екатерина II издала рескрипт об основании города и гавани на месте Хаджибея, а 22 августа (2 сентября1794 года после молебна и освящения строительных площадок были забиты первые сваи в основание города. Ранее Осип де Ри́бас представил Екатеринославскому и Таврическому генерал-губернатору князю Зубову доклад, вместе с ходатайством о построении города и порта на месте Хаджибея, а также планы, составленные инженером-полковником российской армии Францем де Волланом. Де Рибасу в конце концов удалось убедить Екатерину, и таким образом был утверждён его проект основания порта и города. Строился город по плану, составленному де Волланом.

Новое название города Одесса впервые встречается 10 января 1795 года. Существует несколько версий о происхождении названия города, однако наиболее достоверным считается предположение, что город назвали так в честь древнегреческой колонии Одессос, которая располагалась недалеко от Одесского залива.

 

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Boomi Onboarding Solution Accelerator

  • Reduce time-draining tasks. Minimize manual data work for HR, managers and new hires. Speed employee onboarding when you automate workflows across multiple systems, from internal HR and related information to third-party benefits and payroll providers.
  • Improve employee satisfaction. Frictionless onboarding sets the stage for a long and productive relationship. Meet employee expectations and retain high-value personnel when you extend Boomi to help manage the full employee lifecycle, from recruitment and onboarding to training, promotions and separation.
  • Develop a single employee view. Synchronize and enrich employee data in a central master data hub, and orchestrate workflow-driven onboarding with the Boomi platform. Gain a single employee view and reduce latency with real-time data exchange — not overnight batch processing.
  • Eliminate errors and improve security. Automate data synchronization to improve speed and precision while eliminating the friction of duplicate or misspelled names, incomplete addresses and other errors — all within the secure confines of your network.
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14
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IBM Cloud Private

IBM Cloud Private has been certified for primary infrastructure (server, network & storage) providers, including Dell, NetApp, Cisco and Lenovo, as well as IBM Power Systems and IBM Z. With a consistent underlying Kuberentes-based platform, IBM has enabled key elements of its existing and new middleware, data and analytics portfolio to take advantage of the platform capabilities, including rapid provisioning and de-provisioning of applications, portability between the enterprise and the cloud, improved resource usage and simplified management. Additionally, IBM provides and supports several key open source technologies, including MongoDB and Postrges. Since the platform is based on open technologies, it allows enterprises to also take advantage of a growing ecosystem of software and services that have been enabled for Kubernetes. This truly is the best of both worlds. Developers can tap into several options for modern runtimes, development tools and services to turn ideas into working code quickly; integrate into existing enterprise systems; and modernize existing applications while minimizing cost and risk. Meanwhile, the operations team can access a consistent and flexible set of built-in management tools that extend and integrate these capabilities with existing management tools and processes. Use cases of IBM Cloud Private:
  • Create new cloud-native apps: Easily design cloud-native applications and meet the necessary regulatory and management requirements. 
  • Modernize your existing apps on cloud: See how to reconstruct your application estates to rapidly meet today’s highly dynamic business environment. 
  • Open your data center to work with cloud services: Learn how to create apps in the private cloud while integrating data & application services from the enterprise and other clouds. 
As you can see, IBM Cloud Private provides a common and consistent platform for enterprises to rapidly innovate while retaining the flexibility to use public clouds and services. It provides this while also integrating with business-critical applications, data and processes. Use your heritage to your advantage as you enter the new world of applications built for the cloud.
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IBM Integrated Analytics System

High-performance analytics Easy to manage, with minimal administration. Provides a high-performance, massively parallel system that enables you to perform analytics on large data volumes. Connects data scientists to the data Includes IBM Data Science Experience, which enables you to collaboratively analyze data. Or you can use existing Jupyter Notebooks and bring data scientists to your organization’s data. Machine learning Enables you to train, persist and score machine learning models on the system where the data resides to increase performance. Data interoperability Uses data virtualization to support shared components, skills and capabilities, and connect to any type of data in any location. Cloud-ready Provides a common SQL engine. Seamlessly migrates workloads to the cloud based on your requirements, without the need for application rewrites. Key features
  • Built-in tools for data scientists
  • Embedded Spark processing with machine learning
  • Common SQL engine
  • Cloud-ready with scalable deployment
  • High-speed architecture
  • Easy to manage and maintain
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14
17
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Oracle Data Integrator Cloud

Oracle Data Integrator Cloud Service (ODICS) delivers high-performance data movement and transformation capabilities with its open and integrated E-LT architecture and extended support for Cloud and Big Data solutions. Oracle Data Integrator Cloud Service provides all of the functionality included in Oracle Data Integrator Enterprise Edition in a single heterogeneous Cloud Service integrated with the Oracle Public Cloud. Providing an easy-to-use user interface combined with a rich extensibility framework, Oracle Data Integrator Cloud Service improves productivity, reduces development costs and lowers total cost of ownership among data-centric architectures. Oracle Data Integrator Cloud Service is fully integrated with Oracle Platform as a Service (PaaS) offerings such Oracle Database Cloud Service, Oracle Database Exadata Cloud Service and/or Oracle Big Data Cloud Service to put data and value at the center of the enterprise. Oracle Data Integrator Cloud Service is open and standards-based such that it can work with 3rd party systems as well as Oracle’s solutions. Cloud E-LT Architecture for High Performance Oracle Data Integrator Cloud Service's E-LT architecture leverages disparate relational database management systems (RDBMS) or Big Data engines to process and transform the data. This approach optimizes performance and scalability and lowers overall solution costs. Instead of relying on a separate, conventional ETL transformation server, Oracle Data Integrator Cloud Service’s E-LT architecture generates native code for disparate RDBMS or big data engines (SQL, HiveQL, or bulk loader scripts, for example). The E-LT architecture extracts data from the disparate sources, loads it into a target, and executes transformations using the power of the database or Hadoop. By leveraging existing databases and big data infrastructures, Oracle Data Integrator Cloud Service provides unparalleled efficiency and lower cost of ownership. By reducing network traffic and transforming data in the server containing the target data, the E-LT architecture delivers the highest possible performance for Cloud environments. Heterogeneous Cloud Support Oracle Data Integrator Cloud Service provides heterogeneous support for 3rd party platforms, data-sources, data warehousing appliances and Big Data systems. While Oracle Data Integrator Cloud Service leverages optimizations for Oracle Database and Big Data Cloud Services to perform E-LT data movement, transformation, data quality and standardization operations, Oracle Data Integrator Cloud Service is fully optimized for mixed technologies including: sources, targets and applications, etc. Knowledge Modules Provide Flexibility and Extensibility Knowledge Modules are at the core of the Oracle Data Integrator Cloud Service’s architecture. They make all Oracle Data Integrator processes modular, flexible, and extensible. Knowledge Modules implement the actual data flows and define the templates for generating code across the multiple systems involved in each data integration process. Knowledge Modules are generic, because they allow data flows to be generated regardless of the transformation rules. At the same time, they are highly specific, because the code they generate and the integration strategy they implement are explicitly tuned for a given technology. Oracle Data Integrator Cloud Service provides a comprehensive library of Knowledge Modules, which can be tailored to implement existing best practices ranging from leveraging heterogeneous source and/or target systems, to methodologies for highest performance, for adhering to corporate standards, or for specific vertical know-how. By helping companies capture and reuse technical expertise and best practices, Oracle Data Integrator Cloud Service’s Knowledge Module framework reduces the cost of ownership. It also enables metadata-driven extensibility of product functionality to meet the most demanding data integration challenges. Oracle’s Data Integration solutions provide continuous access to timely, trusted, and heterogeneous data across the enterprise to support both analytical and operational data integration. We look forward to hearing how you might use Oracle Data Integrator Cloud Service within your enterprise.
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6
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Red Hat OPENSHIFT CONTAINER PLATFORM

Red Hat OpenShift Container Platform 3.5 Kubernetes 1.5 Expanded applications support Security and Networking enhancements Introduction to OpenShift Built with proven open source technologies, Red Hat OpenShift Container Platform helps application development and IT operations teams create and deploy apps with the speed and consistency that business demands.
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VMWare vRealize Automation

What vRealize Automation Delivers Agility Through IT Automation Accelerate the end-to-end delivery and management of infrastructure and applications. Choice Through Flexibility Provision and manage multi-vendor, multi-cloud infrastructure and applications by leveraging new and existing infrastructure, tools and processes. Personalization Through Governance Policies Ensure that users receive the right size resources, or applications, at the appropriate service level for the jobs they need to perform. Efficiency Through Cost Containment IT Automation reduces time-consuming, manual processes and provides additional cost savings through automated reclamation of inactive resources. FEATURES Enhanced Governance Meet specific business needs at the right service level with personalized, policy-based governance. Deliver infrastructure, applications or any IT service through a IT service catalog. Flexible Cloud Deployment Choose the right cloud platform and location that meet your business needs. We support private, public and hybrid cloud deployments of all sizes. Unified Blueprint Model Model infrastructure and applications using a visual canvas with a drag-and-drop interface or entirely as code. Choose from a prebuilt content library or leverage existing configuration management tools.
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8
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Volition

Volition ™ system is a complex solution for copper and fiber networks. A wide range of cables, cable assemblies, patch panels, connectors and other components, provides freedom of choice for creating and optimizing network architecture in general. Using the product line Volition ™, you can build a cable system of categories: 5e, 6, 6A. The patented innovative solutions provide ease of installation, high performance and reliability, confirmed by independent European laboratories GHMT Delta and, in general, improves the economic and operational performance of modern large-scale enterprise network.

 
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7
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The ROI4CIO Product Catalog is a database of business software, hardware, and IT services. Using filters, select IT products by category, supplier or vendor, business tasks, problems, availability of ROI calculator or price calculator. Find the right business solutions by using a neural network search based on the results of deployment products in other companies.