Quick tips for using Big Data for your growing business
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You are required to prepare technical assessment questions about Data Science for a pre-assessment platform. The questions should be in the forms of multiple choice, free text and coding, and consist of different areas which are expected to be known by a Data Scientist at a hiring phase. Multiple choice questions should consist of options and free text questions should have 5 paraphrased answers. Each question should have its title generated from the specific topic included in the question. The questions should be about the following topics: Data: Databases / Mongo DB / SQL / R / Python / Algorithms / Machine Learning Techniques / Model Training You can find examplary questions from the attached document.
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. We would want to build a predictive model to predict what people are more likely to survive Titanic sinking? The data is grouped according to whether or not a person survived (1=significant, 0=insignificant). Download the data from D2L, and the following steps that will guide you how to build a data mining mo...
· Experience in a similar Data Engineering role, who has attained a Graduate degree or above in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. · Experience designing big data real-time processing solutions · Building and implementing Big Data solutions using Microsoft Data Platform and Azure Data Services; including Data Factory, Azure Functions, Data Warehouse, Data Lake, Data Lake Analytics, Data Bricks and U-SQL · Working with both traditional and modern data architecture and processing concepts such as relational SQL and NoSQL databases · Designing data pipelines to support machine-learning solutions. · The right candidate must also be able to support ...
We have opportunities for qualified Data Engineering Specialist to work for a leading telecommunications company in Sydney, Australia. We're seeking an experienced data engineering specialist who has skills and experience in implementing large scale big data platforms. Our big data / data analytics technologies: Postgresql, Apache Spark, Apache Kafka, Apache HDFS, Apache Nifi, Apache Hive, Apache Flink, Apache Druid, Scala and Python Programming language, Kubernetes(K8s)/Rancher/Docker, ELK, Internet of Things, Data Science, AI and ML Platforms
Content based recommendation system using MapReduce, i.e. given a job description you should be able to suggest a set of applicable courses