Data Analytics Data Architect Hadoop Scala 
AltexSoft
FEBRUARY 11, 2023
This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.
Knowledge Hut
JULY 27, 2023
The interesting world of big data and its effect on wage patterns, particularly in the field of Hadoop development, will be covered in this guide. As the need for knowledgeable Hadoop engineers increases, so does the debate about salaries. You can opt for Big Data training online to learn about Hadoop and big data.
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Knowledge Hut
JUNE 23, 2023
Steps to Become a Data Engineer One excellent point is that you don’t need to enter the industry as a data engineer. You can start as a software engineer, business intelligence analyst, data architect, solutions architect, or machine learning engineer.
ProjectPro
JUNE 30, 2016
Now, a big-data driven news app for India. 23K jobs for big data analytics in Bengaluru. Data analytics firms gear up to lure the best talent as the demand for specialised talent increases. TCS partners with four colleges to offer courses in Big Data. June 7, 2016. Gizmodo.in Feb 23, 2016. Times of India.
Knowledge Hut
FEBRUARY 27, 2023
A data engineer is a key member of an enterprise data analytics team and is responsible for handling, leading, optimizing, evaluating, and monitoring the acquisition, storage, and distribution of data across the enterprise. Data Engineers indulge in the whole data process, from data management to analysis.
Knowledge Hut
DECEMBER 29, 2023
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.
ProjectPro
MARCH 7, 2016
In this constantly changing world of big data tools and technologies, project managers and hiring managers often do not know what to look for in a particular candidate, while hiring for big data job roles. It is necessary for individuals to bridge the wide gap between the academia big data programs and the industry practices.
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