Category: Big Data
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A Low Cost Data Repository for Data Science Project
In the past month, I have made a number of research and testing on different data science technology including on-premise and cloud solutions. They are: Google BigQuery, Cloud Storage, Airflow Qilk Sense, Data Streaming (CDC), Data Warehouse Automation, Data Lake Creation Debezium CDC EnterpriseDB, GaussDB (by Huawei) In the coming future, I will share some…
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Different Stages in Data Science Team Building
In general, there are 3 stages of building a data science team. Early Stage Mid Stage Late Stage (Mature Stage) For each stage, the team structure of a data science team should be different in order to meet the needs within the business or organization. Organizational Models Meanwhile, there are 3 different types of Organizational…
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Five Ways to Build a Data Science Team for your Organization
As a data science consultant for years, I would like to share my viewpoints and experiences of developing the capability for a data science team for any organization. (NOTE: this article is aimed to share building data science for general business. However, it is not for helping you to build a Data Science consultancy or…
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Bookshelf for a Data Scientist
As a data scientist, reading book is a daily activity and most of my skills are built from reading. However, I am always reading different types of books outside the data science tools and technology. I would like to share some of the books recommended across different areas. Methodology When doing Data Science, many…
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Different Jobs/Roles in a Data Science Team
People are always saying that Data Science is so hot and expected highly paid in the industry. There are lots of people trying to join in the industry. Everyone would like to become a data scientist. However, there are not many candidates really fit for the role as a data scientist. In this article, I…
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Data Science / Analytics – Best Practices
Many organizations and people are just focused on technology during the implementation of Big Data and/or Data Analytics. However, you should have the same predictive analytics result for the same algorithm no matter it is the programming code being written in SAS, R or Python. The truth is that the proper methodology is far more…
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Advanced Data Analytics with Free Tools
In the field of Data Science, there are lots of great tools without charging a penny. Data Analytic never requires software tools with high price and the analytic result should be the same either using SAS Data Miner or your own R code. As a data science consulting company, our teams are always using free…
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Discovering Insights from your Data
Big data and data science have been discussed for many years. However, there are lots of failed cases of implementation around the world. With the digitalization, it is no longer difficult to collect data but some organizations are now facing the new problem of drowning in a sea of data. In this article, I would…
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Trends in Data Science for 2020 & 2021
I have not published any article for more than 2 months. It was extremely busy for the re-work on different project schedules and additional administrative work due to the coronavirus crisis. For this time, I would like to share an article planned to published by the end of January 2020. It’s about the coming trend…
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AI Canvas to Work out AI
In this article, I would like to share the simple decision-making tool named AI Canvas and being used in MBA graduates at the university of Toronto’s Rotman School of Management, by professor Ajay Agrawal, University of Toronto. Before going into further details, it is vital to declare that AI / Data Science / Prediction…