AltexSoft

MAY 14, 2021

A growing number of companies now use this data to uncover meaningful insights and improve their decision-making, but they can’t store and process it by the means of traditional data storage and processing units. Key Big Data characteristics. Let’s take the transportation industry for example. Apache Hadoop.

Big Data 78

Big Data Data Analytics IT NoSQL 78

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

Towards Data Science

FEBRUARY 15, 2023

Concepts, theory, and functionalities of this modern data storage framework Photo by Nick Fewings on Unsplash Introduction I think it’s now perfectly clear to everybody the value data can have. To use a hyped example, models like ChatGPT could only be built on a huge mountain of data, produced and collected over years.

Data Lake 76

Data Lake Data Warehouse Hadoop Architecture 76

Knowledge Hut

NOVEMBER 2, 2023

Data Management and Data Transfer To run HPC applications in the AWS cloud, you need to move the required data into the cloud. There are several data transport solutions designed to securely transfer huge amounts of data. It allows allocating storage volumes according to the size you need.

Amazon Web Services 52

Amazon Web Services AWS IT Transportation 52

ProjectPro

JULY 27, 2021

Below are some big data interview questions for data engineers based on the fundamental concepts of big data, such as data modeling, data analysis , data migration, data processing architecture, data storage, big data analytics, etc. List some of the essential features of Hadoop.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JULY 15, 2021

It is recommended to use SQL database for data storage as it comes with built-in security tools and features. Numerous public transport services are now using a cloud-based ticketing system to streamline the service and offer a better experience. The two-way encryption technique used in the project will strengthen the security.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

ProjectPro

JULY 30, 2021

There are many cloud computing job roles like Cloud Consultant, Cloud reliability engineer, cloud security engineer, cloud infrastructure engineer, cloud architect, data science engineer that one can make a career transition to. PaaS packages the platform for development and testing along with data, storage, and computing capability.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

AltexSoft

JUNE 26, 2023

Data ingestion means taking data from several sources and moving it to a target system without any transformation. So it can be a part of data integration or a separate process aiming at transporting information in its initial form. Find sources of relevant data. Choose data collection methods and tools.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

DECEMBER 10, 2021

The service provider's data center hosts the underlying infrastructure, software, and app data. Azure Redis Cache is an in-memory data storage, or cache system, based on Redis that boosts the flexibility and efficiency of applications that rely significantly on backend data stores. Explain Azure Redis Cache.

BI 52

BI Cloud Computing SQL Database 52

Knowledge Hut

SEPTEMBER 29, 2023

Data engineers serve as the architects, laying the foundation upon which data scientists construct their projects. They are responsible for the crucial tasks of gathering, transporting, storing, and configuring data infrastructure, which data scientists rely on for analysis and insights.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 Big Data Project using Hadoop with Source Code for Web Server Log Processing 5.

Big Data 52

Big Data Coding Project Hadoop 52

AltexSoft

MARCH 14, 2023

Okay, data lives everywhere, and that’s the problem the second component solves. Data integration Data integration is the process of transporting data from multiple disparate internal and external sources (including databases, server logs, third-party applications, and more) and putting it in a single location (e.g.,

IT 59

IT Data Warehouse Data Governance Data Lake 59

Monte Carlo

MARCH 28, 2023

And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

Towards Data Science

APRIL 3, 2023

And so it almost seems unfair that new ideas are already springing up to disrupt the disruptors: Zero-ETL has data ingestion in its sights AI and Large Language Models could transform transformation Data product containers are eyeing the table’s thrown as the core building block of data Are we going to have to rebuild everything (again)?

Data Engineer 98

Data Engineer Data Engineering Engineering Data Warehouse 98