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Data Scientist Salary in India: Based on Location, Company, Experience

Knowledge Hut

The data goes through various stages, such as cleansing, processing, warehousing, and some other processes, before the data scientists start analyzing the data they have garnered. The data analysis stage is important as the data scientists extract value and knowledge from the processed, structured data.

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The Top 3 Data Mesh Challenges — and How to Solve Them

Ascend.io

If you work with data, you’ll have come across the term data mesh by now. This decentralized but interconnected approach to structuring data has become increasingly popular since the term was coined by Zhamak Dehghani 4 years ago. Essentially, you’re risking scaling up your problems along with your data architecture.

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Making Sense of Real-Time Analytics on Streaming Data, Part 1: The Landscape

Rockset

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Streaming data has been around for decades. Today, streaming data is everywhere. Kafka or Kinesis ?

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Data Science vs Artificial Intelligence [Top 10 Differences]

Knowledge Hut

The field of Artificial Intelligence has seen a massive increase in its applications over the past decade, bringing about a huge impact in many fields such as Pharmaceutical, Retail, Telecommunication, energy, etc. ML engineers work in close collaboration with the Data scientists throughout the Data Science pipeline.

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The Good and the Bad of Apache Spark Big Data Processing

AltexSoft

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. Many industries, from telecommunications to finance and healthcare, use Spark to run ELT and ETL (Extract, Transform, Load) operations, where vast amounts of data are prepared for further analysis.

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Big Data Engineer Salary - How Much Can You Make in 2023?

ProjectPro

Big Data Engineer Salary by Skills The roles and responsibilities of a Big Data Engineer in an organization vary as per the business domain, type of the project, specific big data tools in use, IT infrastructure, technology stack, and a lot more. Wondering if Spark is suitable for Big Data?

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20 Solved End-to-End Big Data Projects with Source Code

ProjectPro

Access Big Data Projects Example Code to Real-Time Tracking of Vehicles 22. Analysis of Network Traffic and Call Data Records There are large chunks of data-making rounds in the telecommunications industry. However, very little of this data is currently being used to improve the business.