Big Data has empowered organizations to inspect substantial volumes of structured and unstructured data. Big Data augments decision making, by delivering data and conclusions from the projected valuable information. Organizations are presently in a situation to consolidate their data with the acquired large data sets such as geospatial data. Client sentiments can be observed and changes in client conclusions can be effectively distinguished through the scouring of online information.
Data is an asset and becomes a liability when you
This blog touches upon the basics of Informatica MDM Fuzzy Matching.
Informatica MDM – SDP approach
A master data management (MDM) system is installed so that the core data of an organization is secure, is accessible by multiple systems as and when required and does not have multiple copies floating in the system, in order to have a single source of truth. A solid Suspect Duplicate Process is required in order to achieve the 360 degree view of an entity.
Data Quality – Overview
Data Quality is the process of understanding the quality of data attributes such as data types, data pattern, existing values, and so on. Data quality is also about capturing the score of an attribute based on some specific constraints. For example, get the count of records for which the attribute value is NULL, or find the count of records for which a date attribute does not fit into the specified Date Pattern.
Managing your Data Quality
In today’s world DATA is ubiquitous and critical to the business which eventually increases the need for integration across different platforms like Cloud, Web Service etc. When it comes to Data Integration, business needs effective communication between their software systems and ETL tool to fulfill their needs.
This blog post explains what a REST Web Service is, how you can create a Power Center workflow, use REST based method to access the web services via HTTP Transformation.
Data Warehousing has been the buzzword for the past two or three decades and big data is the new trend in technology. A question that often arises in our mind is, “Are they similar and will Big Data replace a Data Warehouse”, the reason being, both have similarities like holding data, used for reporting purposes and managed by electronic storage devices. There is an underlying difference between the two, namely; Big Data Solution is a technology whereas Data Warehousing
It is common practice to make changes to the underlying systems either to correct problems or to provide support for new features that are needed by the business. Changes can be in the form of adding a new source system to your existing Enterprise Data Warehouse (EDW).
This blog post examines the issue of adding new source systems in an EDW environment, how to manage customizations in an existing EDW, what type of analysis has to be made before
IIS Tool Suite Overview
As per a study conducted by a leading market research and advisory company the data that we have generated in the past two years is many times more than that we generated in over two decades. It has not just multiplied, but have also become complex, varied and is being generated at much more rate than it ever was. These factors present a data integration challenge to the industries and businesses to be able to better
Teradata – Overview
PowerCenter works with many databases, among which Teradata is one of a kind. Informatica PowerCenter integrates Teradata database into any business system and it serves as the technology foundation for controlling data movements. In Informatica PowerCenter, ODBC is used to connect with Teradata tables and its data.
This blog helps you to create, configure, compile, and execute a PowerCenter workflow in Windows that can read the data from and write the data to Teradata database.
This blog post section gives an overview of GDPR, requirements, impact on business, common challenges faced by organizations and next steps recommended for GDPR compliance.
The General Data Protection Regulation (GDPR), enacted in April 2016 in Europe, will come into effect globally on May 25, 2018. The objective of GDPR is to provide a cohesive privacy law for companies and increased data protection for EU citizens (Subjects). GDPR regulates how EU residents’ personal data is collected, processed, stored,
Data is siloed across wide variety of platforms in an enterprise environment and the data needs to be processed, cleansed, and mastered to ensure it is same across source systems for effective reporting and analysis. To cater to this need, Informatica provides Master Data Management (MDM) product called Multi-Domain Edition (MDE). To master the data in this tool, the data needs to be loaded into the Informatica MDM Hub. In Informatica MDM data can be loaded in two different