Fraud Detection in the Banking Industry: Leveraging Machine Learning for Credit Card Fraud Detection
Machine Learning revolutionizes fraud detection in the banking industry. Explore advanced algorithms shaping the future of credit card fraud detection for enhanced security and proactive risk management.
Consulting Case Study: Real-time Data Streaming Pipeline Optimization
Background Our client is providing advanced agriculture tools and digital information to farmers to become more profitable. The company utilizes sensor solutions and provides real-time and actionable insights. It also provides farmers with the power to control their operating costs. Their product is a solution that saves farms over $20,000 annually by improving energy efficiency […]
Consulting Case Study: Integrated AI Content Search
Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. As organizations continue to undergo digital transformations all over the world, enterprises are experiencing pains that […]
Consulting Case Study: Job Market Analysis
Executive Summary WeCloudData is one of the fastest growing Data & AI training companies in the world. Since 2016, WeCloudData has trained and helped thousands of students and clients level up their data skills and mature their data organizations. Understanding the job market is a central business need for many organizations and for all HR […]
Data Visualisation in Einstein Analytics using Stack Over Flow data from Redshift.
The blog is posted by WeCloudData’s student Sneha Mehrin. This Article Outlines the Key Steps in Creating a Highly Interactive Dashboard in Einstein Analytics by Connecting to Redshift. image from https://www.searchenginejournal.com/ This article is a part of the series and continuation from the previous article where we build a data warehouse in Redshift to store the streamed and processed […]
How to Build a Technical Design Architecture for an Analytics Data Pipeline
The blog is posted by WeCloudData’s student Sneha Mehrin. An Overview of Designing & Building a Technical Architecture for an Analytics Data Pipeline Problem. This article is a continuation of the previous post and will outline how to transform our user requirements into a technical design and architecture. Let’s summarise our two major requirements: Let’s […]
Building an End to End Analytics Pipeline Using Einstein Analytics, Kinesis, Spark and Redshift.
The blog is posted by WeCloudData’s student Sneha Mehrin. If you are a computer programmer or working in any tech-related industry, then chances are that, at least once a day google for answers in Stack Overflow. Stack Overflow is a question and answer site for professional and enthusiast programmers. The website offers a platform for […]
Live Twitter Sentiment Analysis
The blog is posted by WeCloudData’s Big Data course student Udayan Maurya. This Live Twitter Sentiment Analyzer helps track present sentiment for a given track word. In this document, I will describe the work flow I followed to develop this SaaS app. Contents Data Pipeline Map Data Collection Preparing Data for Data Analysis Training the […]
An Introduction to Big Data & ML Pipeline in AWS
The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path for below items in AWS : Build an Big Data Pipeline for both Static and Streaming Data. Process Data in Apache Hadoop using Hive. Load processed data to Data Warehouse solution like Redshift and RDS like MySQL. […]
An Introduction to Data Pipeline with Spark in AWS
The blog is posted by WeCloudData’s Big Data course student Abhilash Mohapatra. This story represents an easy path to Transform Data using PySpark. Along with Transformation, Spark Memory Management is also taken care. Here Freddie-Mac Acquisition and Performance Data from year 1999–2018 is used to create a Single o/p file which can further be used for Data Analysis or Building Machine […]
Building Data Pipeline in AWS for Retail Data
The blog is posted by WeCloudData’s Data Engineering course student Rupal Bhatt. Here is a Donut Chart prepared from processed data. Our data passes through several processes before meeting a dashboard and giving us a full picture like the one above. This is an attempt to show you one way of processing such data. Big […]
Building Superset Dashboard and Pipeline using Apache Airflow and Google Cloud SQL
The blog is posted by WeCloudData’s Data Science Bootcamp student Ryan Kang. Like Amazon AWS, Google Cloud is a popular cloud used by data analytics companies. Google Cloud allows continuous automation of workflow and big data computation. In this blog, I will briefly introduce how I set up Google Cloud for workflow. Each Google Cloud account […]
