ProjectPro

OCTOBER 7, 2014

According to the Industry Analytics Report, hadoop professionals get 250% salary hike. Java developers have increased probability to get a strong salary hike when they shift to big data job roles. If you are a java developer, you might have already heard about the excitement revolving around big data hadoop.

Hadoop 52

Hadoop Java Big Data Recruitment 52

Knowledge Hut

DECEMBER 21, 2023

To establish a career in big data, you need to be knowledgeable about some concepts, Hadoop being one of them. Hadoop tools are frameworks that help to process massive amounts of data and perform computation. What is Hadoop? Hadoop is an open-source framework that is written in Java.

Hadoop 52

Hadoop Big Data NoSQL Unstructured Data 52

ProjectPro

JULY 6, 2015

But still your resume is not getting selected for the open big data jobs. This is the reality that hits many aspiring Data Scientists/Hadoop developers/Hadoop admins - and we know how to help. What do employers from top-notch big data companies look for in Hadoop resumes? CareerPlanners Inc.

Hadoop 40

Hadoop Big Data Recruitment Big Data Skills 40

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop Relational Database AWS 52

Knowledge Hut

SEPTEMBER 6, 2023

Data Analysis : Strong data analysis skills will help you define ways and strategies to transform data and extract useful insights from the data set. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Kafka 52

ProjectPro

NOVEMBER 22, 2021

MapReduce Apache Spark Only batch-wise data processing is done using MapReduce. Apache Spark can handle data in both real-time and batch mode. The data is stored in HDFS (Hadoop Distributed File System), which takes a long time to retrieve. You can learn a lot by utilizing PySpark for data intake processes.

Hadoop 52

Hadoop Python Datasets Metadata 52

ProjectPro

AUGUST 9, 2018

Which instance will you use for deploying a 4-node Hadoop cluster in AWS? Amazon Redshift Logs: Amazon Redshift logs collect and record information concerning database connections, any changes to user definitions, and activity. The logs can be used for security monitoring and troubleshooting any database-related issues.

AWS 40

AWS Amazon Web Services Cloud Computing Database 40