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. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

SEPTEMBER 26, 2021

Knowledge and experience in Big Data frameworks, such as Hadoop , Apache Spark , etc., The senior-level roles require expert knowledge and skills in complex data analysis and programming. Upskill yourself for your dream job with industry-level big data projects with source code. can help better negotiations.

Big Data 52

Big Data Data Engineering Data Engineer Engineering 52

Knowledge Hut

JANUARY 19, 2024

The syllabus should cover technologies such as Apache Hadoop and Spark, introducing concepts of distributed computing and parallel processing for effective big data management. Introduces technologies like Hadoop and Spark for distributed computing. Importance: Addresses challenges in handling large-scale datasets.

Data Science 52

Data Science Machine Learning Datasets Algorithm 52

ProjectPro

JUNE 17, 2015

We have gathered the list of top 15 cloud and big data skills that offer high paying big data and cloud computing jobs which fall between $120K to $130K- 1) Apache Hadoop - Average Salary $121,313 According to Dice, the pay for big data jobs for expertise in hadoop skills has increased by 11.6% from the last year.

Cloud Computing 40

Cloud Computing Big Data R (Programming) Big Data Skills 40

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. Learn Hadoop to become a Microsoft Certified Big Data Engineer. Table of Contents Why you should take a big data certification?

Big Data 40

Big Data Certification Hadoop Big Data Skills 40

Knowledge Hut

JUNE 30, 2023

It covers popular technologies such as Apache Kafka, Apache Storm, and Apache Hadoop, giving users practical advice on developing and executing effective data pipelines. The authors effectively teach how to use R's capabilities for successful data analysis and visualization through practical examples and hands-on exercises.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 19, 2016

Top 7 Big Data Conferences in 2016 1) Strata + Hadoop World 2) Enterprise Data World 3) Data Science Conference 4) Data Summit 5) useR 6) International Conference on Data Mining, Internet Computing, and Big Data (BigData2016) 7) IEEE Big Data Why you should attend a Big Data Conference? Click Here to Register for Data Science Conference.

Big Data 40

Big Data Data Mining Hadoop R (Programming) 40

ProjectPro

JULY 8, 2015

Hackerday offers one such platform for IT professionals to enhance their problem solving abilities, on different technologies by working on projects. Python and R programming are among the most powerful statistical computing languages as there are no statistical equations that cannot be calculated in Python and R.

Hadoop 40

Hadoop R (Programming) Big Data NoSQL 40

ProjectPro

FEBRUARY 24, 2016

Unlike other kinds of data specialists who specialize in a specific task (such as data engineers and data analysts ), data scientists tackle the end-to-end lifecycle of a data science project right from data acquisition to model optimization to communicating insights to stakeholders. Start working on them today!

Hadoop 40

Hadoop Data Science Computer Science R (Programming) 40

ProjectPro

DECEMBER 22, 2016

If you are aspiring to be a data analyst then the core competencies that you should be familiar with are distributed computing frameworks like Hadoop and Spark, knowledge of programming languages like Python, R , SAS, data munging, data visualization, math , statistics , and machine learning. How to Flatten a Matrix?

Data Mining 52

Data Mining Data Cleanse Datasets Data Analysis 52