Tag Archives: data

Data Lineage Concepts, Examples & Tools

data lineage tools examples concepts skills

Data lineage can be a complex and confusing topic. It’s hard to know where your data comes from, how it’s been changed, and what the impact of those changes has been. Data lineage tools make tracing data easy and straightforward. By understanding your data’s history you can more effectively troubleshoot issues, optimize processes, and make better decisions. In this blog, you will learn about data lineage concepts, examples, and tools. As a data professional, you must have a strong understanding of data lineage. What is Data Lineage and why is it important? Data lineage is a term used in data management to describe the path that data takes from its …

Continue reading

Posted in Data, Data management. Tagged with , .

Data Analyst Technical & Soft Skills

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 these days. Companies rely on data analysts to help them make better decisions by turning data into insights. In order to be successful, data analysts need a mix of technical skills and soft skills. Technical skills include expertise in analyzing data. Soft skills include communication and problem-solving skills. Data analysts must be able to take data and turn it into insights that help their company make better decisions. They also need to be able to effectively communicate those insights to people who may not have a technical background. In this blog …

Continue reading

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

Data Lake: Design principles & Best practices

data lake concepts

In today’s business world, data is king. The more data you have, the more insights you can glean about your customers, your products, and your operations. And the best way to collect and store all that data is in a data lake. A data lake is a data management and analytics platform that offers several benefits over traditional data warehouses. Data lakes have gained in popularity in recent years due to the growing volume of data being generated by businesses and organizations of all sizes. But before you can reap the benefits of a data lake, you need to design it correctly. The people who should be involved in designing …

Continue reading

Posted in Data, Data analytics, data engineering, Data lake, Data Science. 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 …

Continue reading

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 …

Continue reading

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 …

Continue reading

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 …

Continue reading

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