Understanding and Developing Data Strategy and Monetization
A data strategy is a plan that outlines how an organization will collect, store, manage, and use its data. It is important because it can help organizations to improve decision-making,…
Combating AI Fear
Fear of AI is a type of technophobia, which is a fear of computers, AI, robots, and similar technologies. AI has been the subject of much discussion and debate in…
Understanding Artificial General Intelligence: Key Elements, Advancements, and Challenges
Introduction Artificial General Intelligence (AGI) refers to a hypothetical form of artificial intelligence that would be capable of performing any intellectual task that a human can do. Unlike current AI…
Tracking Advancements in Large Language Models(LLMs)
An LLM is a type of neural network based on the Transformer architecture, which was first introduced in a 2017 paper by Google engineers titled “Attention is All You Need.”…
What is the Difference between Data Warehouse and a Data Lake ?
Data Lakes are the foundation for building AI driven solutions that many organizations need. There is much more information in audios, videos, images and social media chatter that can drive…
Setting Up PostGIS Extension On Greenplum 6 In Ubuntu 18.04
This tutorial will cover how to install PostGIS on Ubuntu 18.04 Linux for Greenplum 6 clustered setup. PostGIS is an open source PostgreSQL database extension for creating Geographic objects on…
Using Windows Functions for Data Analysis in Greenplum
Windows functions are an important tool for data analysis. In this tutorial, we go through windows functions in SQL and provide examples for their use in Greenplum.
Optimizing Greenplum Data Warehouse Performance through Efficient Partitioning and Data Distribution
Introduction Greenplum follows a master/slave architecture, where data is distributed on segment nodes. Master node is responsible for executing user queries on segment nodes, and getting the results back to…
Learning Essential Skills for being Successful on a Data Analysis Career Roadmap
Introduction To be successful as data analysts you need to learn fundamental data analysis techniques, and data-oriented programming languages, and have a strong background in math. Here are the most…
Apache Superset Setup Methods
Are looking for a tool to visualize, explore and analyze data that can be modified and adapted to organizational architecture while it does not cost a fortune? Apache Superset is…
Ace the Data Science Interview by Refreshing Top Hadoop Questions and Answers
In this article, we discuss key concepts of hadoop and answer various common questions related to hadoop.
Greenplum Database Programming with SQLAlChemy Library
This tutorial provides, hands on coding examples covering database programming for Greenplum/PostgreSQL using SQLAlChemy library.
Step by Step Greenplum Database Programming Tutorial Using Python
This tutorial shares basic database programming code for PostgreSQL and Greenplum using Python and psycopg2 library.
Getting Started with MADlib for Greenplum Data Warehouse
Not many data scientists realize that it is possible and much more beneficial to build data science models directly on top of a data warehouse. Apache MADlib is an open-source…
Greenplum Getting Started | Hands-On Tutorial
Greenplum getting started tutorial, covering basic commands to start/stop the database, creating schema, and tables.
10 Key Concepts and Ideas to Apply When Solving Any Data Science (Machine Learning) Problem ?
Solving data science problems requires systematic thinking and approach, here's some of the key concepts and steps that you need to apply when trying to solve data science problems.
Modern Big Data Engineering Architecture and Big Data Pipelines
Understanding big data architecture, and developing effective strategies for big data is key to building modern data science solutions. Here, we provide high level overview of big data architecture.
Top Clustering Questions for Acing the Data Science Interview (Clustering MCQs)
Q1. What is the minimum no. of variables/ features required to perform clustering? A. 0 B. 1 C. 2 D. 3 Solution: (B) At least a single variable is required…
Ace the Data Science Interview by Preparing for the Most Common Questions for Machine Learning and Data Science
Common data science questions and answers for refreshing your data science knowledge with the help of most common data science interview questions.