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Perform OLAP on Hadoop big data platform has been a burden for a while, primarily due to high latency of queries. A different open source project like impala, presto and even apache hawq have tried to fix the problem with an MPP style of query execution architecture, but with an even larger dataset, performing query aggregation which is key to OLAP queries is still far from desirable.
Apache Kylin (kylin.apache.org) is a Distributed Analytics Engine that provides SQL interface and multidimensional analysis (OLAP) on the large dataset using MapReduce or Spark. This means that I can answer classical MDX questions in the Hadoop platform with a decent amount of latency.
In this big data project, we will be performing an OLAP cube design using the AdventureWorks dataset. The deliverable for this hadoop be to design a cube, build and implement it using Kylin, query the cube and even connect familiar tools (like Excel) with our new cube.
Hive Project -Learn to write a Hive program to find the first unique URL, given 'n' number of URL's.
Learn to design Hadoop Architecture and understand how to store data using data acquisition tools in Hadoop.
Estimating churners before they discontinue using a product or service is extremely important. In this ML project, you will develop a churn prediction model in telecom to predict customers who are most likely subject to churn.
In this deep learning project, you will learn how to build your custom OCR (optical character recognition) from scratch by using Google Tesseract and YOLO to read the text from any images.
In this deep learning project, you will find similar images (lookalikes) using deep learning and locality sensitive hashing to find customers who are most likely to click on an ad.
In this NLP AI application, we build the core conversational engine for a chatbot. We use the popular NLTK text classification library to achieve this.
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.
PySpark Project-Get a handle on using Python with Spark through this hands-on data processing spark python tutorial.
In this PySpark project, you will simulate a complex real-world data pipeline based on messaging. This project is deployed using the following tech stack - NiFi, PySpark, Hive, HDFS, Kafka, Airflow, Tableau and AWS QuickSight.
In this spark project, you will use the real-world production logs from NASA Kennedy Space Center WWW server in Florida to perform scalable log analytics with Apache Spark, Python, and Kafka.