We used various ETA steps, such as SDGs and data management. We employed DataStage for integration, governance, data management, and data quality cleaning steps. Additionally, we leveraged real-time data applications for projects in both government and corporate sectors. I have over five years of experience with DataStage and am familiar with all steps, methodologies, best practices, and ETL strategies.
Arquitecto Industrial IoT at a consultancy with 10,001+ employees
Real User
Top 20
2024-02-21T19:38:00Z
Feb 21, 2024
We primarily use IBM InfoSphere DataStage for ETL scenarios, extracting, transforming, and loading data across various systems efficiently. Although we experimented with using it for real-time or on-time integrations in the past few years, our main focus remains on its strength in traditional batch data integration processes.
We have integrated multiple data sources into a single data warehouse. For this, we used to build complex ETL jobs and datasets to integrate data from multiple sources into a single data warehouse. So, these are basically the use cases.
I work as a consultant and I have several projects with the Russian banks. My main expertise is building data warehouses and I use the product as a ETL.
Right now, I'm working for a telecom company. So, we are using IBM InfoSphere DataStage for constructing ETL jobs for them so that they can load data from their various different sources into their warehouse.
I'm working for an insurance provider. They have applications where they register claims, insurance, et cetera. We get a flat file from the vendor and put those flat files into our Oracle Data Warehouse and report on the data. We publish those reports to our institutional investors, partners, and business users, including banks.
The product is primarily used for intense data transformation; it's part of the risk management, and dataflow, and is sourcing data from the data warehouse on the SAP Sybase platform.
Senior Data Warehouse Developer at a computer software company with 5,001-10,000 employees
MSP
2019-12-09T10:58:00Z
Dec 9, 2019
We primarily use the solution for the UTS tool as well a for billing and data. We use it to clean the data from different systems and for pulling in data.
IBM InfoSphere DataStage was mostly used for ETL and data integration purposes, so extract, transfer, and load, including some data quality use cases. My team used the solution to extract data from various sources, do some business transformations, load the data into a target database, or generate files.
The primary use case is for ETL purposes for when we're building data warehouses or data marts. We use it to get the data from different disparate sources, do some ETL on them, and we use DataStage and then load them into the data warehouse, database, or data mart. This solution used to be on-premises, but they've recently come out with a hybrid offering.
Head of IT Integration & Finance Transformation at a financial services firm with 5,001-10,000 employees
Real User
2021-07-20T11:36:40Z
Jul 20, 2021
The most powerful use of this solution is for full delivery integration. Aside from the ETL aspect, it makes data lineage. We are customers of IBM InfoSphere and I'm head of IT integration and finance transformation.
Manager at a consultancy with 1,001-5,000 employees
Real User
2021-04-06T12:32:33Z
Apr 6, 2021
We are a solution provider and this is one of the products that we implement for our clients. This solution has an end-to-end process used for data integration.
Systems Integration Associate Director at NTT DATA
Real User
2020-11-25T13:05:17Z
Nov 25, 2020
We are a consulting company and we use this solution for our clients. We set up the data for them. We have various healthcare-related information from their vendor and business partners. They have integrated them and get data reports from it.
Enterprise and Information Architect at a tech consulting company with self employed
Real User
2019-12-11T05:40:00Z
Dec 11, 2019
I'm an enterprise and information architect, and we're a customer of IBM. I personally don't use the product but assist companies in the market do for making the integration picture and design.
Technical Partner Manager at a tech services company with 1,001-5,000 employees
Real User
2019-12-05T06:53:00Z
Dec 5, 2019
My customers use it. I don't use this solution. It's used to extract data from several different sources, as well as to store data and load it into a data warehouse.
My company is a consulting firm and I'm a managing partner. We consult for large size companies in the telecommunications, banking and insurance sectors. We partner with IBM. We're not using the latest version of DataStage but one of the more recent ones. I use the product for a migration project. It's a DB2 to Oracle migration project and the source database is mainframe. I need DataStage for that purpose.
It is in the environment of our client, who is a large Russian bank. They are in the top 20, as of August, and have the re-maintenance project of their data warehouse solution based on IBM technologies. They use IBM BWD, a banking data model, on Netezza and DataStages in ETL tools. It is a native case. We are using the on-premise deployment model.
We are a consultancy company, so we are not using DataStage for our own purposes. We deploy it for our customers. We use it to supply data integration and data warehousing solutions based on the specific needs of clients.
IBM InfoSphere DataStage is a high-quality data integration tool that aims to design, develop, and run jobs that move and transform data for organizations of different sizes. The product works by integrating data across multiple systems through a high-performance parallel framework. It supports extended metadata management, enterprise connectivity, and integration of all types of data.
The solution is the data integration component of IBM InfoSphere Information Server, providing a graphical...
We used various ETA steps, such as SDGs and data management. We employed DataStage for integration, governance, data management, and data quality cleaning steps. Additionally, we leveraged real-time data applications for projects in both government and corporate sectors. I have over five years of experience with DataStage and am familiar with all steps, methodologies, best practices, and ETL strategies.
We primarily use IBM InfoSphere DataStage for ETL scenarios, extracting, transforming, and loading data across various systems efficiently. Although we experimented with using it for real-time or on-time integrations in the past few years, our main focus remains on its strength in traditional batch data integration processes.
The tool is used for ETL. It is one of the leading tools in the industry.
We have integrated multiple data sources into a single data warehouse. For this, we used to build complex ETL jobs and datasets to integrate data from multiple sources into a single data warehouse. So, these are basically the use cases.
We migrate data from old databases to new databases.
I work as a consultant and I have several projects with the Russian banks. My main expertise is building data warehouses and I use the product as a ETL.
Right now, I'm working for a telecom company. So, we are using IBM InfoSphere DataStage for constructing ETL jobs for them so that they can load data from their various different sources into their warehouse.
I'm working for an insurance provider. They have applications where they register claims, insurance, et cetera. We get a flat file from the vendor and put those flat files into our Oracle Data Warehouse and report on the data. We publish those reports to our institutional investors, partners, and business users, including banks.
We use the solution for data warehousing and data migration.
The solution is mainly used for, marketing campaigns, customer segmentation, and home loans.
The product is primarily used for intense data transformation; it's part of the risk management, and dataflow, and is sourcing data from the data warehouse on the SAP Sybase platform.
We primarily use the solution for the UTS tool as well a for billing and data. We use it to clean the data from different systems and for pulling in data.
We primarily use the solution for ETL jobs and movement of data.
We started using this solution as we needed a system upgrade. We had to move the Db2 data to a AS400 system.
IBM InfoSphere DataStage was mostly used for ETL and data integration purposes, so extract, transfer, and load, including some data quality use cases. My team used the solution to extract data from various sources, do some business transformations, load the data into a target database, or generate files.
The primary use case is for ETL purposes for when we're building data warehouses or data marts. We use it to get the data from different disparate sources, do some ETL on them, and we use DataStage and then load them into the data warehouse, database, or data mart. This solution used to be on-premises, but they've recently come out with a hybrid offering.
I am a consultant. I provide product information for our clients.
The most powerful use of this solution is for full delivery integration. Aside from the ETL aspect, it makes data lineage. We are customers of IBM InfoSphere and I'm head of IT integration and finance transformation.
We are a solution provider and this is one of the products that we implement for our clients. This solution has an end-to-end process used for data integration.
you can use IBM DataStage to build your own data warehouse by creating jobs extract data from different sources and load it into your warehouse
We are a consulting company and we use this solution for our clients. We set up the data for them. We have various healthcare-related information from their vendor and business partners. They have integrated them and get data reports from it.
We primarily use this product for data loading. We take data from different applications and databases and put it into our data warehouse.
We are using this solution with enterprise customers for ETL (Extract, Transform and Load). The clients are just using it for retail processes.
I'm an enterprise and information architect, and we're a customer of IBM. I personally don't use the product but assist companies in the market do for making the integration picture and design.
My customers use it. I don't use this solution. It's used to extract data from several different sources, as well as to store data and load it into a data warehouse.
My company is a consulting firm and I'm a managing partner. We consult for large size companies in the telecommunications, banking and insurance sectors. We partner with IBM. We're not using the latest version of DataStage but one of the more recent ones. I use the product for a migration project. It's a DB2 to Oracle migration project and the source database is mainframe. I need DataStage for that purpose.
It is in the environment of our client, who is a large Russian bank. They are in the top 20, as of August, and have the re-maintenance project of their data warehouse solution based on IBM technologies. They use IBM BWD, a banking data model, on Netezza and DataStages in ETL tools. It is a native case. We are using the on-premise deployment model.
We implement this solution for our customers. The majority of them are Enterprise companies.
We are a consultancy company, so we are not using DataStage for our own purposes. We deploy it for our customers. We use it to supply data integration and data warehousing solutions based on the specific needs of clients.