Remove 2004 Remove NoSQL Remove Project
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How to Become A Data Modeler in 2025?

ProjectPro

Kickstart your data engineer career with end-to-end solved big data projects for beginners. The data modeler builds, implements, and analyzes data architecture and data modeling solutions using relational, dimensional, and NoSQL databases. What does a Data Modeler do? The exam is available in English, German, and Japanese.

NoSQL 40
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A Prequel to Data Mesh

Towards Data Science

My personal take on justifying the existence of Data Mesh A senior stakeholder at one my projects mentioned that they wanted to decentralise their data platform architecture and democratise data across the organisation. Result: Hadoop & NoSQL frameworks emerged. The concept of `Data Marts` was introduced.

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Is Aws Certification Worth It?

Knowledge Hut

Since its launch in 2004, AWS has helped businesses replace high infrastructure cost with low variable expenses. Amazon started offering web services, also known as cloud computing, in the form of IT infrastructure services for public use in 2004. To progress your career in Cloud Computing, enroll in certification Cloud Computing.

AWS 98
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Top 15 Data Analysis Tools To Become a Data Wizard in 2025

ProjectPro

Allows integration with other systems - Python is beneficial for integrating multiple scripts and other systems, including various databases (such as SQL and NoSQL databases), data formats (such as JSON, Parquet, etc.), It just needs minimal code, making it simple to grasp the language and start working on data analysis projects.

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How to Become a Data Engineer in 2024?

Knowledge Hut

Facebook It is a social media platform created originally by Mark Zuckerberg for college students in 2004. NoSQL is a distributed data storage that is becoming increasingly popular. Some of NoSQL examples are Apache River, BaseX, Ignite, Hazelcast, Coherence, etc. The average salary of a Data Engineer at Google is $127,100.

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Industry Interview Series- How Big Data is Transforming Business Intelligence?

ProjectPro

For example, say we get a project on analyzing Twitter data. Around 2004-2005, there emerged Departmental BI, it is named as such because it works in various departments in the company. Here Solocal has to use the MPP transformation and NoSQL databases and some tools to analyse text documents, i.e. Text Agent Mining.