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Professional Database Services | Online Web Agency

Find out how theOnline Web Agency can help you with yours . Contact us today for professional services data base.

The services of they offer an efficient way to store, manage and analyze large volumes of data collected.

Online Web Agency is a company that works on data base.

Online Web Agency work with i through its services of database administrator and the services of Online Web Agency di remote dba.
Online Web Agency is active for the service of Remote DBA internationally as it is present on Internet in over 50 countries, offering services Remote DBA on American standard but designated by Italians.

Online Web Agency It offers the service of Remote DBA, then remote database administrator, especially in Italy both in the main Italian cities such as Milano, Roma, Torino, Bergamo e Brescia but also in small Italian municipalities.

Online Web Agency with its own qualified service of Remote DBA offers administration and maintenance of such as Oracle and Postgresql, therefore offers: troubleshooting, optimization of and performance scalability, but above all careful monitoring of the proactively.

Online Web Agency has its own active collaborators for the remote DBAs both during the day and at night, therefore:

  • remote monitoring for managed 24/7
  • remote monitoring for managed during the day (remote DBAs daytime)
  • remote monitoring for managed during the night (remote DBAs night)


Online Web Agency offers classroom training sessions and on-the-job training, but above all it offers both On-Site and Remote consultancy.

Online Web Agency is very active in cloud and has its own solution of cloud DBAs as companies relocate their own data collected through precisely the cloud but we need integration of data collected through qualified personnel such as that of Online Web Agency.

There are currently several types of from the classic E / R model that is entity relations to the NoSQL one with horizontal instead of vertical partitioning.

I data collected are the oil of the new millennium, i big data they are a destructive technology because the more drastic the change, the more innovation there is. Online web agency believes that the data quality is the future, a date not of quality is a cost for companies and data collected they must always cost less.

Database history:

The origins:

The concept of dates back to the dawn of computing, when i data collected they were stored on punched cards or magnetic tapes. Access to these data collected it was slow and laborious, and their organization was rudimentary.

The advent of grassroots management systems data collected:

In the 60s, with the advent of the first base management systems data collected (DBMS), the management of data collected became more efficient and organized. THE DBMS they allowed me to memorize the data collected in a structured way, facilitating access and research.

The models of :

Over the years, several models have been developed , Including:

  • Hierarchical model: I data collected they are organized in a tree structure, with parent-child relationships.
  • Lattice model: I data collected they are organized in a graph structure, with relationships between nodes.
  • Relational model: I data collected they are organized into tables, with relationships between the tables.
  • Object model: I data collected they are organized into objects, with relationships between objects.

The relational model:

The relational model has become the model of more widespread, thanks to its simplicity and flexibility. SQL (Structured Query Language) is the standard language for querying relational.

The evolution of :

Over the years, i they have evolved and become increasingly powerful and scalable. The advent of cloud computing made it possible to distribute i across multiple servers, increasing their capacity and reliability.

The technologies of today:

Today, there are several technologies , Including:

  • Database relational: Are the most widespread, used for applications of different nature.
  • Database NoSQL: They are non-relational, designed to handle large volumes of data collected unstructured.
  • Database in-memory: They are that memorize i data collected in volatile memory, for faster access.
  • Database cloud: They are distributed on cloud, for greater scalability and reliability.

The future of :

The future of it is full of challenges and opportunities. L'artificial intelligence,Internet of Things (IoT) and analytics big data will be the main drivers of the evolution of .

Some challenges for the future of :

  • Computer security: Cyber ​​security is an increasingly important challenge for .
  • Scalability: I they must be able to handle volumes of data collected ever growing.
  • Performance: I they will need to be able to provide high performance for real-time applications.
  • Overall: I they must be easy to use and manage.

Some milestones in the history of :

  • 1960:  Edgar F. Codd publishes his article “A Relational Model of Data for Large Shared Data Banks”.
  • 1970:  The SQL language is developed.
  • 1980:  The base management system is born data collected Oracle relational.
  • 1990:  The base management system is born data collected MySQL relational.
  • 2000:  The base management system is born data collected NoSQL MongoDB.
  • 2010:  The base management system is born data collected in-memory Redis.
  • 2020:  The base management system is born data collected cloud Amazon Dawn.

Conclusion:

I have had a significant impact on computing and society in general. They made it possible to organize and manage the data collected efficiently, facilitating access and analysis. The future of It's full of challenges and opportunities, and it will be interesting to see how this technology evolves in the coming years.

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    👍Online Web Agency | Web Agency expert in Digital Marketing and SEO. Web Agency Online is a Web Agency. For Agenzia Web Online success in digital transformation is based on the foundations of Iron SEO version 3. Specialties: System Integration, Enterprise Application Integration, Service Oriented Architecture, Cloud Computing, Data warehouse, business intelligence, Big Data, portals, intranets, Web Application Design and management of relational and multidimensional databases Designing interfaces for digital media: usability and Graphics. Online Web Agency offer companies the following services: -SEO on Google, Amazon, Bing, Yandex; -Web Analytics: Google Analytics, Google Tag Manager, Yandex Metrica; -User conversions: Google Analytics, Microsoft Clarity, Yandex Metrica; -SEM on Google, Bing, Amazon Ads; -Social Media Marketing (Facebook, Linkedin, Youtube, Instagram).
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