Cloud Data Analytics

Data is the raw material from which wise business decisions can be made. Cloud data analytics provide tools to review and analyze your data, allowing you to create value for your organization. This can lower costs, improve your bottom line and how your business is run.

Princeton IT Services has two decades of experience building data warehouses and using analytics. There are many frameworks and tools provided by cloud vendors such as AWS, Azure and Google Cloud Platform, to name few, and there are many more tools in the cloud marketplace.

But tools won’t do you any good if you don’t know which is the right one to use and how to properly use it. Thanks to our experience, we know which tool and framework is right for your situation and how use it with the utmost data security. Our recommendations range from Data ingestion to Data Consumption/Visualization. Our experience helps our clients cut the time needed to put the solution to market, creating result much more quickly, cutting costs and boosting your bottom line.

How it works

Businesses like yours can encounter challenges with high availability databases, Cloud data analytics is a type of cloud service model where data analysis and related services are performed on a public or private cloud. It can refer to any data analytics or business intelligence process carried out with the help of a cloud service provider.

Business analytics is any quantifiable data that has been collected on just about any facet of the business world. Cloud data analytics is a service model that’s provided via the cloud which enables your business to be more datadriven in ways that a local, on-premise solution won’t allow you to do.

Several elements are needed to create effective cloud data analytics.

  • Big data

    This is the large volume of data (structured and unstructured) pouring into your business every day. Its existence has no value, it’s what you do with it that creates value. It can be analyzed for insights that lead to better decisions and strategic moves. This data,

    • Can come from a variety of sources, including business transactions, social media and information from sensors or machine-to-machine data.
    • May be coming at you at unprecedented speeds and needs to be dealt with in a timely manner.
    • Comes in great variety. It can be structured, numeric data in traditional databases to unstructured text documents, email, video, audio, stock ticker data and financial transactions.

    You may be able to leverage this data to improve your decision making, reduce costs, make processes more efficient, improve current offerings or create new ones.

  • Data warehouses

    A data warehouse is an online analytical processing (OLAP) database. It exists as a layer on top of another database or databases. It takes data from all these databases and creates a layer optimized for and dedicated to analytics. A database designed to handle transactions isn’t designed to handle analytics. A data warehouse is structured to make analytics fast and easy.

    A data warehouse can store vast amounts of structured data in highly regimented ways. With a data warehouse an organization can load or reload portions of its data if something goes wrong.

  • Data lakes

    A data lake is a centralized, curated and secured repository that stores all your data, both in its original form and prepared for analysis. A data lake enables you to break down data silos and combine different types of analytics to gain insights and guide better business decisions.

    Users can access a centralized catalog of data which describes available data sets and their usage. Data sets can be leveraged with analytics and machine learning services. Data lakes can be built quickly and you can move, store, catalog and clean your data faster. You can centrally define security, governance and auditing policies in one place then enforce those policies for your users across their analytics applications.

  • Business intelligence and analytics

    Business intelligence (BI) helps you run your business while business analytics (BA) help you change your business.

    • BI creates operational efficiency by accessing real time data enabling people to effectively perform their jobs. It includes analysis of historical data from multiple sources enabling informed decision making as well as problem identification and resolution.
    • BA includes using historical data from many sources through statistical analysis, quantitative analysis, data mining, predictive modelling and other technologies and techniques. It enables you to see trends and understand that information can drive business change and support successful business practices.

    BI is like looking in a rearview mirror and using historical data from a minute ago to decades ago. BA is looking in front of you to help you predict what will happen. BI improves your decision-making because of insights on past results and BA helps you move forward and understand what might happen in the future.

Princeton IT Services has become a leader in the following Oracle consultation services:


  • Setting up database for High Availability
  • Data Modeling & Database Design
  • Database Upgrades & Patching
  • Oracle Enterprise Manager
  • Performance tuning
  • Query Optimization
  • Oracle Support
  • Custom Development
  • MS SQL Server Administration
  • MySQL Administration
  • Oracle RMAN Setup
  • Oracle Enterprise Linux
  • Oracle on Redhad Linux
  • Oracle on Unix/Solaris
  • Oracle on VAX/VMS
  • Database Security
  • MongoDB Administration
  • Cassandra Administration
  • Hadoop Administration
  • Remote DBA
  • Oracle Licensing
  • Oracle Reseller
    ….and much more!

Trust Princeton IT Services

Whatever your reasons for considering cloud migration, Princeton IT Services can help you plan and execute any migration of any scale. We work with Amazon Web ServicesGoogle Cloud Platform and Azure Cloud Services by Microsoft and can help you choose which one is the best fit for you.

We have ten years of experience working with Fortune 50 companies who demand that work be done right the first time, on budget and on time. All the lessons we’ve learned and experience we’ve earned developing software for large clients we apply to all our projects for all our customers no matter their size.

If you want to learn more about cloud data analytics and how it can help your business, contact Princeton IT Services today.

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