Knowledge Hut
OCTOBER 27, 2023
More opportunities emerge in the market as more industries recognise the power of Data Science. If you are interested in Data Science and want to gain a firm grasp on the technology, now is as good a time as any to hone your skills in order to fully understand and organise the forthcoming challenges in Data Science.
Precisely
JANUARY 11, 2024
These challenges are increasingly being addressed by the adoption of business value engineering, a data- and insights-driven framework that aligns technology selection with purpose – strengthening your ability to demonstrate the value that those investments produce. If the return isn’t clear, the investments often falter.
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Christophe Blefari
MARCH 1, 2023
dbt Core is an open-source framework that helps you organise data warehouse SQL transformation. dbt Labs also develop dbt Cloud which is a cloud product that hosts and runs dbt Core projects. In a simple words dbt sits on top of your raw data to organise all your SQL queries that are defining your data assets.
Knowledge Hut
MARCH 18, 2024
Thinking about working as a data analyst or project manager? Both data analytics and project management are pivotal fields in the business world, with data analysts and project managers each fulfilling indispensable roles within their respective domains. What is Project Management?
Knowledge Hut
OCTOBER 24, 2023
Data visualization has made a long journey, from the simple cave drawings showing a successful hunt to the present day's intricate dashboards to present raw data understandably. Before the seventeenth century, data visualization existed mainly in maps, displaying land markers, cities, roads, and resources.
Knowledge Hut
MAY 1, 2024
Eight years later, the chatter about data science and data scientists continues to garner headlines and conversations. Especially with the current pandemic, suddenly data science is on everyone’s mind. But what does data science encompass? On its own, this raw data will be of no use to anyone.
Knowledge Hut
MAY 1, 2024
If the general idea of stand-up meetings and sprint meetings is not taken into consideration, a day in the life of a data scientist would revolve around gathering data, understanding it, talking to relevant people about the data, asking questions about it, reiterating the requirement and the end product, and working on how it can be achieved.
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