Data Data Preparation Database Database-centric 
Christophe Blefari
APRIL 8, 2023
Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. Data modeling Dear readers, I have to confess something. I did not care about data modeling for years. Data modeling should not be a required data engineer skill.
Christophe Blefari
APRIL 8, 2023
Data News entering in town ( credits ) Hey you, if I wasn't late in my newsletter writing it wouldn't be me. But here is your usual Data News. Data modeling Dear readers, I have to confess something. I did not care about data modeling for years. Data modeling should not be a required data engineer skill.
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Data Engineering Podcast
AUGUST 13, 2022
Summary Data engineers have typically left the process of data labeling to data scientists or other roles because of its nature as a manual and process heavy undertaking, focusing instead on building automation and repeatable systems. Data stacks are becoming more and more complex. Sifflet also offers a 2-week free trial.
Knowledge Hut
JUNE 20, 2023
A novice data scientist prepared to start a rewarding journey may need clarification on the differences between a data scientist and a machine learning engineer. Many people are learning data science for the first time and need help comprehending the two job positions.
Knowledge Hut
JANUARY 30, 2024
In today's world, where data rules the roost, data extraction is the key to unlocking its hidden treasures. As someone deeply immersed in the world of data science, I know that raw data is the lifeblood of innovation, decision-making, and business progress. What is data extraction?
DataKitchen
FEBRUARY 21, 2023
On 24 January 2023, Gartner released the article “ 5 Ways to Enhance Your Data Engineering Practices.” Data team morale is consistent with DataKitchen’s own research. We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing.
Knowledge Hut
SEPTEMBER 26, 2023
Organisations are constantly looking for robust and effective platforms to manage and derive value from their data in the constantly changing landscape of data analytics and processing. These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets.
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