How to Perform a Data Quality Audit, Step by Step

A data audit helps you assess the accuracy and quality of your organization’s data. For many organizations, data is the most valuable asset because it can be deployed in so many ways. Organizations can use their data to improve existing processes or services, make important business decisions, or even predict future revenue. And of course, it’s of great value for the marketing team.

However, when your organization doesn’t adhere to standards or processes related to data accumulation and storage, you might end up with poor-quality data. By regularly conducting a data quality audit, you make sure the quality of your data stays high. Even if the quality decreases at some point, you can take immediate action to fix or improve problematic processes.

This article will help you understand how to get started with a data quality audit. First, let’s discuss the importance of a data quality audit.

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What Is a Data Pipeline in Hadoop? Where and How to Start

what is a data pipeline in hadoop

Did you know that Facebook stores over 1000 terabytes of data generated by users every day? That’s a huge amount of data, and I’m only talking about one application! And hundreds of quintillion bytes of data are generated every day in total.

With so much data being generated, it becomes difficult to process data to make it efficiently available to the end user. And that’s why the data pipeline is used.

So, what is a data pipeline? Because we are talking about a huge amount of data, I will be talking about the data pipeline with respect to Hadoop.

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How to Build a Data Management Platform: A Detailed Guide

how to build a data management platform

Does your business need to gain better data insights? Would you like to collect, organize, and activate data from any source, be it online, offline, mobile, and more? Then you need a data management platform, or DMP.

Let’s start with a brief introduction to DMPs. Data management platforms allow you to organize, collect, and activate audience data from any source. Through this, a DMP will add value to your business by providing insights about your customers.

Today, you can buy a DMP from a number of vendors. However, the cost usually ranges from $80K to over $1M for large implementations.

But don’t fret—you have another option. You can build one yourself.

In this post, I’m going to explain how a data management platform works, features of a DMP, and the architecture for building a DMP.

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