Knowledge Hut

JANUARY 18, 2024

They can work with various tools to analyze large datasets, including social media posts, medical records, transactional data, and more. The role requires extensive knowledge of data science languages like Python or R and tools like Hadoop, Spark, or SAS. For this, programmers have to use coding skills like SQL and NoSQL.

Programming Language 75

Programming Language Data Science Programming Scala 75

ProjectPro

JANUARY 24, 2023

Google BigQuery holds a 12.78% share in the data warehouse market and has been rated a leader by Forrester Wave research in 2021, which makes it a highly popular data warehousing platform. BigQuery is a powerful tool for running complex analytical queries on large datasets. Name your dataset, then click on CREATE DATA SET.

Bytes 52

Bytes Google Cloud Data Warehouse Datasets 52

ProjectPro

OCTOBER 15, 2014

Pig and Hive are the two key components of the Hadoop ecosystem. What does pig hadoop or hive hadoop solve? Pig hadoop and Hive hadoop have a similar goal- they are tools that ease the complexity of writing complex java MapReduce programs. Apache HIVE and Apache PIG components of the Hadoop ecosystem are briefed.

Hadoop 52

Hadoop Unstructured Data Java SQL 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. What is the difference between Hadoop and Traditional RDBMS?

Hadoop 40

Hadoop Big Data Metadata Java 40

ProjectPro

JUNE 23, 2016

Hadoop job interview is a tough road to cross with many pitfalls, that can make good opportunities fall off the edge. One, often over-looked part of Hadoop job interview is - thorough preparation. Needless to say, you are confident that you are going to nail this Hadoop job interview. directly into HDFS or Hive or HBase.

Hadoop 40

Hadoop MySQL Relational Database Java 40

ProjectPro

JULY 28, 2021

You can expect interview questions from various technologies and fields, such as Statistics, Python, SQL, A/B Testing, Machine Learning , Big Data, NoSQL , etc. Why do you think NoSQL databases can be better than SQL databases? Can you explain the Hadoop architecture? How can Data Science contribute to Smart City development?

Recruitment 40

Recruitment Data Science Machine Learning NoSQL 40

AltexSoft

NOVEMBER 10, 2021

In the paper introduced by experts from Databricks, UC Berkeley, and Stanford University at the 11th Conference on Innovative Data Systems Research (CIDR) in 2021, a lakehouse officially became a thing. Basically, it was only a matter of time when the new architecture combining the best of the two worlds would be suggested. websites, etc.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

AUGUST 31, 2018

Azure and AWS both provide database services, regardless of whether you need a relational database or a NoSQL offering. AWS works perfectly with NoSQL and relational databases providing a mature cloud environment for big data. Azure also supports both NoSQL and relational databases and Big Data through Azure HDInsight and Azure table.

AWS 45

AWS Cloud Amazon Web Services Cloud Computing 45

ProjectPro

JANUARY 19, 2022

Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. The Data Engineering on Microsoft Azure DP 203 certification exam, which replaces the previous two tests, was launched in June 2021 by Microsoft. What is the Microsoft Azure Data Engineer certification exam?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52