ProjectPro

JUNE 30, 2016

This blog post gives an overview on the big data analytics job market growth in India which will help the readers understand the current trends in big data and hadoop jobs and the big salaries companies are willing to shell out to hire expert Hadoop developers. Don’t believe us?

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Hadoop Big Data Skills Recruitment NoSQL 40

ProjectPro

APRIL 20, 2017

You have read some of the best Hadoop books , taken online hadoop training and done thorough research on Hadoop developer job responsibilities – and at long last, you are all set to get real-life work experience as a Hadoop Developer.

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Hadoop Big Data Coding Project 40

ProjectPro

SEPTEMBER 26, 2021

Big Data refers to the massive volumes of data which is no longer possible to manage using traditional software applications. Automated tools are developed as part of the Big Data technology to handle the massive volumes of varied data sets.

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Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 25, 2023

Many professional associations or academic institutions offer data analytics certifications, which include a wide range of abilities. Others may originate from data analytics software providers, where the certification typically attests to your proficiency with the company's analytics technology.

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Certification Business Analyst Big Data Data Analysis 52

ProjectPro

AUGUST 24, 2021

But before you send out your resume for any data engineer job, and if you want to get shortlisted for further rounds, you need to have ample knowledge of various data engineering technologies and methods. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines.

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Data Engineering Data Engineer Coding Project 52

ProjectPro

JUNE 24, 2021

Here are a few reasons why you should work on data analytics projects: Data analytics projects for grad students can help them learn big data analytics by doing instead of just gaining theoretical knowledge. Some amount of experience working on Python projects can be very helpful to build up data analytics skills.

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Data Analytics Project Insurance Hadoop 40

ProjectPro

AUGUST 11, 2021

Is Snowflake a data lake or data warehouse? Is Hadoop a data lake or data warehouse? They store current and historical data in one place and are used to create analytical reports for workers throughout the enterprise." The data may be accessed to issue reports or to find any hidden patterns in the data.

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Data Lake Data Warehouse Cloud Hadoop 52

ProjectPro

MARCH 7, 2016

If your career goals are headed towards Big Data, then 2016 is the best time to hone your skills in the direction, by obtaining one or more of the big data certifications. Acquiring big data analytics certifications in specific big data technologies can help a candidate improve their possibilities of getting hired.

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Big Data Certification Hadoop Big Data Skills 40

ProjectPro

MAY 31, 2021

Ace your big data interview by adding some unique and exciting Big Data projects to your portfolio. This blog lists over 20 big data projects you can work on to showcase your big data skills and gain hands-on experience in big data tools and technologies.

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Big Data Coding Project Hadoop 52

ProjectPro

JANUARY 19, 2022

Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. As a result, the role of data engineer has become increasingly important in the technology industry. Data infrastructure, data warehousing, data mining, data modeling, etc.,

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Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 25, 2022

One of the most in-demand technical skills these days is analyzing large data sets, and Apache Spark and Python are two of the most widely used technologies to do this. Python is one of the most extensively used programming languages for Data Analysis, Machine Learning , and data science tasks.

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Big Data Data Process Process Kafka 52

U-Next

SEPTEMBER 23, 2022

Concepts such as components of databases and other attributes related to Data Science have taken the world by storm. To handle this large amount of data, we want a far more complicated architecture comprised of numerous components of the database performing various tasks rather than just one. . Apple is one such technology.

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