Tag Archives: data

How to become a Data Analyst? Skills & Experience

data analyst skills experience jobs salaries

Do you want to become a data analyst? It’s a great career choice! Data analysts are in high demand, and with the right skills, you can make a good living doing something you love. In this blog post, we will discuss the skills required for data analysis, and provide some tips on how to acquire them. We will also recommend some courses and books that can help you get started on your data analyst career path! What is data analysis and what do data analysts do? Data analysis is the process of inspecting, cleansing, transforming, and creating data visualizations with the goal of discovering useful information, suggesting conclusions, and supporting …

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Posted in Big Data, Career Planning, Data, Data analytics, data engineering, Data Mining. Tagged with , .

What is Data Quality Management? Concepts & Examples

what is data quality and why is it important

What is data quality? This is a question that many people ask, but it is not always easy to answer. Simply put, data quality refers to the accuracy and completeness of data. If data is not accurate, it can lead to all sorts of problems for businesses. That’s why data quality is so important – it ensures that your data is reliable and can be used for decision-making purposes. Data is at the heart of any enterprise. It is essential for making sound business decisions, understanding customers, and improving operations. However, not all data is created equal. In order to make the most out of your data, you need to …

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Posted in Data, Data analytics. Tagged with , .

Data Governance Framework Template / Example

data governance framework template

Data governance is a framework that provides data management governance. It’s the process of structuring data so it can be governed, managed and used more effectively. Data governance framework forms the key aspect of data analytics strategy. This blog post will discuss key functions of a standard data governance framework and can be taken as a template or example to help you get started with setting up your data governance program. What is Data Governance Framework? The data governance framework is intended to put some structure around how data can be managed and used in an organization based on well-defined rules and processes around a variety of data related operations and decisions. Data …

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Posted in Data, Data analytics. Tagged with , .

Data Readiness Levels Assessment: Concepts

data readiness levels assessment

Data readiness levels (DRLs) and related assessments are an important part of data analytics. Data readiness levels is a concept where different stages represent the quality and maturity of data. Data science is becoming increasingly popular, but not all companies have the right level of data readiness for this type of work. Performing data readiness levels assessment is important because it gives an insight into the quality and quantity of your current datasets and helps determine future success of the data analytics project. This blog post will explain what data readiness levels are and why assessment tests are important in relation to them. What are data readiness levels? Data readiness …

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Posted in Data, Data analytics, Data Science. Tagged with , .

Data Architecture Lessons from LinkedIn.com Data Handling Mechanisms

The article aims to describe how data is managed at LinkedIn.com, the most popular professional social networking site.  Please shout out loud if you disagree with one or more of the aspects mentioned below. Also, do suggest if I missed on one or more aspects. Data use-cases at LinkedIn.com Following are some of the data use-cases that we may have come across while we are surfing various different LinkedIn pages: Update your profile, and the same appears in recruiter search in near real-time. Update your profile and same appears as network connections  in near real-time. Share an update, and same appears on others news feed page  in near real-time. Then, there are …

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Posted in Architecture, Performance Engineering. Tagged with , , .