Knowledge Hut

OCTOBER 30, 2023

You can check out the best Big Data courses to have an in-depth idea about big data tools and technologies to prepare for a job in the domain. This article will provide big data project examples, big data projects for final year students , data mini projects with source code and some big data sample projects.

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Knowledge Hut

NOVEMBER 2, 2023

Data Aggregation Working with a sample of big data allows you to investigate real-time data processing, big data project design, and data flow. Learn how to aggregate real-time data using several big data tools like Kafka, Zookeeper, Spark, HBase, and Hadoop.

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Data Engineering Data Engineer Coding Project 52

ProjectPro

FEBRUARY 16, 2023

Big Data Analytics with Spark by Mohammed Guller This book is an ideal fit if you're looking for fundamental analytics and machine learning with Spark. The book also covers additional big data tools such as Hive, HBase, and Hadoop for a better understanding.

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ProjectPro

SEPTEMBER 26, 2021

The Big Data industry will be $77 billion worth by 2023. According to a survey, big data engineering job interviews increased by 40% in 2020 compared to only a 10% rise in Data science job interviews. Table of Contents Big Data Engineer - The Market Demand Who is a Big Data Engineer?

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ProjectPro

JANUARY 31, 2023

Typically, data processing is done using frameworks such as Hadoop, Spark, MapReduce, Flink, and Pig, to mention a few. How is Hadoop related to Big Data? Explain the difference between Hadoop and RDBMS. Data Variety Hadoop stores structured, semi-structured and unstructured data.

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ProjectPro

SEPTEMBER 26, 2021

This blog on Big Data Engineer salary gives you a clear picture of the salary range according to skills, countries, industries, job titles, etc. Big Data gets over 1.2 Several industries across the globe are using Big Data tools and technology in their processes and operations. So, let's get started!

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Big Data Data Engineering Data Engineer Engineering 52

ProjectPro

APRIL 1, 2017

News on Hadoop-March 2017 The cloud is disrupting Hadoop. Zdnet.com, March 6, 2017 Forrester estimates that organizations will spend $800 million in hadoop and its related services in 2017. Just like Hadoop is not designed for the cloud, it is not meant for doing matrix math that deep learning requires.

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ProjectPro

JANUARY 19, 2022

Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools. The list does not end here.

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Knowledge Hut

SEPTEMBER 25, 2023

According to recent assessments, 90% of all big data has been produced in the last two years. As a result, there is a growing demand for people who can assess and analyse data. The CCA Data Analyst CCA159 Exam is a fundamental examination for the popular Big Data Tools, Apache Hive and Apache Impala.

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Knowledge Hut

JUNE 23, 2023

Data engineering is one of the highest in-demand jobs in the technology industry and is a well-paying career. The average salary in the US is $131,610, and the range is from $85,604 to $202,340, according to Indeed (May 2023). You should be well-versed in Python and R, which are beneficial in various data-related operations.

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Data Engineering Data Engineer Engineering Non-relational Database 52

ProjectPro

AUGUST 21, 2015

With the help of ProjectPro’s Hadoop Instructors, we have put together a detailed list of big data Hadoop interview questions based on the different components of the Hadoop Ecosystem such as MapReduce, Hive, HBase, Pig, YARN, Flume, Sqoop , HDFS, etc. Processes structured data.

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Knowledge Hut

SEPTEMBER 26, 2023

Using scripts, data engineers ought to be able to automate routine tasks. Data engineers handle vast volumes of data on a regular basis and don't only deal with normal data. Popular Big Data tools and technologies that a data engineer has to be familiar with include Hadoop, MongoDB, and Kafka.

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Certification Data Engineering Data Engineer Engineering 52

ProjectPro

NOVEMBER 22, 2021

Python has a large library set, which is why the vast majority of data scientists and analytics specialists use it at a high level. If you are interested in landing a big data or Data Science job, mastering PySpark as a big data tool is necessary. Is PySpark a Big Data tool?

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Knowledge Hut

MARCH 5, 2024

Let us look at some of the functions of Data Engineers: They formulate data flows and pipelines Data Engineers create structures and storage databases to store the accumulated data, which requires them to be adept at core technical skills, like design, scripting, automation, programming, big data tools , etc.

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Data Engineering Data Engineer Engineering Education 52

ProjectPro

JULY 27, 2021

Why is Data Engineering In Demand? Data Engineer Job Growth and Demand in 2023 What Skills Does a Data Engineer Need? Get Set Go For Your Interview with ProjectPro’s Top Data Engineer Interview Questions FAQs on Data Engineer Interview Questions How can I pass data engineer interview?

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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. Zeppelin allows individuals or teams to engage in data visualization on a collaborative basis.

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ProjectPro

AUGUST 24, 2021

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Understand the importance of Qubole in powering up Hadoop and Notebooks.

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Data Engineering Data Engineer Coding Project 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

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Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JULY 21, 2021

However, if you're here to choose between Kafka vs. RabbitMQ, we would like to tell you this might not be the right question to ask because each of these big data tools excels with its architectural features, and one can make a decision as to which is the best based on the business use case. What is Kafka?

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Kafka Big Data Java Architecture 52

ProjectPro

FEBRUARY 24, 2016

What’s the average data scientist salary in 2023? How much does a data scientist make? Do data scientists make a lot of money? A quick search on LinkedIn shows over 34K data scientist job alerts in the United States. job score) and worth paying attention to in 2023 and beyond.

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AltexSoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

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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

APRIL 15, 2016

Preparing for a Hadoop job interview then this list of most commonly asked Apache Pig Interview questions and answers will help you ace your hadoop job interview in 2018. Research and thorough preparation can increase your probability of making it to the next step in any Hadoop job interview.

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Hadoop Java Big Data SQL 40

ProjectPro

JANUARY 19, 2022

While data scientists are primarily concerned with machine learning, having a basic understanding of the ideas might help them better understand the demands of data scientists on their teams. Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data.

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Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JUNE 29, 2021

Kafka Interview Questions Kafka Scenario-based Interview Questions Kafka Interview Questions for Java Developers | Kafka Developer Interview Questions Tricky Kafka Interview Questions Kafka Admin Interview Questions | Kafka Technical Interview Questions Why is Kafka technology significant in the Big Data industry? Easy to scale.

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Kafka Bytes Big Data Java 40

AltexSoft

JUNE 26, 2023

Luckily, the situation has been gradually changing for the better with the evolution of big data tools and storage architectures capable of handling large datasets, no matter their type (we’ll discuss different types of data repositories later on.) No wonder only 0.5

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