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Highest Paying Data Science Jobs in the World

Knowledge Hut

While only 33% of job ads specifically demand a data science degree, the highly sought-after technical skills are SQL and Python. Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They should know SQL queries, SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS) and a background in Data Mining and Data Warehouse Design. Big Data Engineer/Data Architect With the growth of Big Data, the demand for Data Architects has also increased rapidly.

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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes. NoSQL databases are often implemented as a component of data pipelines.

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Hadoop Jobs Salary Trends in India

ProjectPro

This demand and supply gap has widened the big data and hadoop job market, creating a surging demand for big data skills like Hadoop, Spark, NoSQL, Data Mining, Machine Learning, etc. It’s raining jobs for Hadoop skills in India.

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Top Big Data Certifications to choose from in 2023

ProjectPro

Most of the big data certification initiatives come from the industry with the intent to establish equilibrium between the supply and demand for skilled big data professionals. Below are the top big data certifications that are worth paying attention to in 2016, if you are planning to get trained in a big data technology.

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Top 7 Data Engineering Career Opportunities in 2024

Knowledge Hut

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases.

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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

It is commonly stored in relational database management systems (DBMSs) such as SQL Server, Oracle, and MySQL, and is managed by data analysts and database administrators. Analysis of structured data is typically performed using SQL queries and data mining techniques. Common formats include XML, JSON, and CSV.