TIBCO Data Virtualization

really great for abstraction of the queries to objects and column and row level security of elements. TDV is the layer between the application and the data storage layer that ensures proper authorization of what a user or role can read, write, or alter and handles the translation between these components into SQL statements

Identified as one important enabler for the new digital ecosystem, is helping NOS build a Digital Stack and deliver new capabilities much faster and enforce security, resilience, performance, and scalability. We start by implementing Data Virtualization to support our Interactive Voice Response used by our Call Center 24x7 and expanding this capability to our digital channels providing the best experience to NOS customers.

Processing data from other sources is ideal for data consumption within the company and is what generates easy-to-read data reports. Many departments use TIBCO Data Virtualization thanks to the fact that it has very simple tools that are perfectly integrated, we always manage to solve the difficulties in data governance and data virtualization is a source of success in data management.

I am using this app to generate reports on customer orders with different kinds of statuses to understand what are the pending orders and I can analyse the same. As Croma is in the retail industry of the electronic market, we are receiving E-commerce orders from many websites like Croma.com, Tata Cliq, Amazon, Flipkart. TIBCO gives us all the data required for a better understanding of segregation and customer behaviour. We are using these data for further presentation to management to show where we are and what are the scops of improvement.

I used TIBCO Data Virtualization to build a federated query engine extracting data from several different sources and serving it up to a semantic layer to be used by the business.

Data from disparate sources had to be merged for loading to our warehouse.
Tibco provided Lineage and quick turnaround time to merge the data.

We used TIBCO Data Virtualization to visualize and run analytics on cross LOB customer data for curating personalized finance and loan offers. This tool is one of the best at its class to pull data from disparate sources and help running analytics on top of them to build models.

I use TIBCO Spotfire to analyze and visualize tabular data in biomedical research, which including preclinical experiment, screening, text mining, genomics, data from clinical trials.

Bringing disparate data sources together to allow for a homogeneous denormalized view for data distribution and consumption across multiple business units. Scope is primarily across the Finance, Risk space.
TIBCO DV allows us to bring the Balance sheet data, and merge that with the counterparty data, market data, exchange rates and risk attributes.

We are using TIBCO to fetch external data in PwC. We are using .net core along with TIBCO.

The following reasons make working with TDV very reliable and quick in my day-to-day task. a. More approachable. b. Quickly querying the data. c. Creating connections to various data sources. d. simple and effective. e. Robust and Combability with various data sources. f. Incorporating cloud connections. g. caching the huge data.

TIBCO Data Virtualization has created a platform to track manage and provide concise reports throughout the various cycles of the sales process. It is a robust tool that has helped maximize efficiency through its visualization formats. After working with this tool and seeing the benefits I could not see myself without it. I will continue to use TIBCO Data Virtualization for the foreseeable future.

Today, in the organization, the TIBCO Data Virtualization solution is a fundamental pillar for the creation of statistics as an intermediate between the data source and the Viewer since it allows us to create data cubes, transform and orchestrate information from the different sources within the organization, as well as allowing us to quickly create OData services for our clients to consult information. It really is a wonderful and versatile tool.

TDV is used in our organization to create master data views used by a host of downstream applications as a common source of the data stream. TDV is helpful in the sense that we can create a common master view by combining different consumer views sourced from a wide variety of data sources.

Many disparate data sources in a multitude of different data formats and data types posed a challenge to produce consolidated reports that related different programs into a single view. After consolidating data sources the need was to provide concise charts to display the current state and trends. The application was efficient in providing for these needs.

TIBCO Data Virtualization is available to all of our organizations. TIBCO Data Virtualization is used by most of our organizations to bring multiple data into one reporting solution. TIBCO Data Virtualization allows us to pull data from many different sources in many different locations and create the reporting requirements that are needed by our various business departments.

The business problem was client was having data distributed across multiple data silos/ data sources..The data was also generated by multiple departments / locations across the company. Since the data was generated by multiple channels, the management was facing problem with multiple version of same data with incomplete information. There was need to have a single source of data , so the data can be a trusted data and can be used across each departments with each channel/department contributing additional info of the data. So the company wanted to build a data lake , so as to have single source of data for better data governance and use this data for growth of company. To implement this there was need to connect to all the data sources of the company which was spread in different geographic locations at on premises and cloud. Since the data was spread across different geographical locations in few locations data was stored in legacy system, where there was no scope to upgrade or move the data to other data storage. So these were critical applications where there was need to get this data without impacting the existing business which depended on this legacy systems. The standard way of getting data through ETL was also taken into consideration, but there was lot of limitations and disadvantages. So after analyzing all the available technologies it was decided to implement the data virtualization which itself has lot of benefits from technology wise and from cost wise.So the company decided to implement TIBCO Data Virtualization as it was perfect tool which had all the industry standard adapters readily available to connect to cloud and on premises data. Now after implementing TIBCO Data Virtualization, the company can get any new data source which is implemented at their different geographical locations into their main data lake within fraction of time. This gives freedom for the the IT team at different geographical location to implement their IT needs without worrying about the Data related technologies or storage. Based on the resource availability and IT budget the IT team can now implement or procure hardware/software where as TIBCO Data Virtualization is playing a important role of connecting to all these data source and presenting this data has single unified layer of data which is further utilized to build the data lake.

We used TIBCO Data Virtualization to develop an API for transferring data from one source system to another destination system. We also developed various APIs using different types of connectors like Salesforce and AWS. We developed both inbound and outbound flows and processed streamlined data using Apache Kafka and automated business workflows.

We use TIBCO Data Virtualization in our organization to provide solutions to multiple clients for data virtualization, which provides an abstract layer where we can connect heterogeneous data sources like RDBMS and Non-RDBMS as well as flat files and provide a singular database as a solution. We can make web service as well. Multiple clients have complex data, which is stored on multiple databases. We can make it singular by using data virtualization.

We use [TIBCO Data Virtualization] to extract different data from several data sources and [it has] always met our needs. It's been a good [purchase] with a great ROI.

It's used internally by the department to manage and visualize data. We use it to generate and create reports also. It helps us manage the huge amount of data we have and makes it easier to search and see trends. We also use it to give a summary to our management on the trends.

We use it for unifying access to various systems distributed across the company, along with simplifying authentication to several "kerberized" data sources. Also, we have a row-level security filtering applied in TDV due to a few underlying data source systems not supporting RLS. As for business problems, we actually do not address any (yet), we address only technical ones.

It was supposed to centralize access to numerous data sources from different DB architectures and provide unified access to all data. However, the limitations we found for example in the Hadoop connection prevent this use case for now. Interesting technology but it has to mature further to be usable on an enterprise level and for more complicated use cases.

We have data coming in from diverse sources. Some of the data come from the operational systems and the rest of it is derived from external sources with whom we have subscriptions for the same. This data is sanitized and transformed into various reports and dashboards which are consumed by customers either in the form of PowerBI/Tableau or are a raw dump of the same. Data virtualization is used by core operational teams only.

I have used TIBCO for the organization to extract data from multiple data source, transformed the data to our needs and present the data visually for easy easy read and quick decision. It was used across the organization to solve this issue. However at the time of testing I’m not sure if KPIs option was available.