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How to use Informatica Power Center as a RESTful Web Service Client?

Introduction

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.

REST Overview

Can Big Data replace an EDW?

Anand.K 3 comments

Overview

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

EDW Readiness Checklist for adding new Data Sources

Anand.K 1 comment

Overview

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

Data Management and IBM IIS Tools

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

Connecting Informatica PowerCenter to Teradata

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.

What’s

GDPR and MDM – Part 1

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.

GDPR –Overview

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,

Informatica MDM MDE Batch Process in a nutshell

Overview

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

Best Practices in Data Validation

Overview

Data Quality is the buzz word in the digital age.

What is data quality and why is it so important?

“Data quality” is the term that is probably hidden but plays an important role in many streams. Data plays a vital role in acquiring a market place, especially in enterprise data management stream.

Data Quality Examples

Following are some examples which emphasize the need for data quality.

  • A customer shouldn’t be allowed to enter his age where he

Blueprint for a successful Data Quality Program

Data Quality – Overview

Corporates have started to realize that Data accumulated over the years is proving to be an invaluable asset for the business. The data is analyzed and strategies are devised for the business based on the outcome of Analytics. The accuracy of the prediction and hence the success of the business depends on the quality of the data upon which analytics is performed. So it becomes all the more important for the business to manage data as

Data Warehouse Vs Data Lake

Data Generation, Analysis, and Usage – Current Scenario

Last decade has seen an exponential increase in the data being generated from across traditional as well as non-traditional data sources. International Data Corporation (IDC)report says that, data generated in the year 2020 alone will be a staggering 40 zettabytes which would constitute a 50-fold growth from 2010. The data generated per second has increased to 2.5 Quintillion bytes and with the advent of latest innovations like the Internet of Things; it

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