Databand.ai

DECEMBER 13, 2022

Deepanshu’s skills include SQL, data engineering, Apache Spark, ETL, pipelining, Python, and NoSQL, and he has worked on all three major cloud platforms (Google Cloud Platform, Azure, and AWS). Beyond his work at Google, Deepanshu also mentors others on career and interview advice at topmate.io/deepanshu.

Data Engineering 52

Data Engineering Data Engineer Engineering AWS 52

Knowledge Hut

JANUARY 23, 2024

Python: Python is a type of programming language that is mainly used in the development of websites and apps, automation, and data analysis. SQL: In a relational data management system, data extraction and structuring are done using the programming language SQL. NPM: The package manager specifically made for Node.js

MongoDB 98

MongoDB Programming Language Java MySQL 98

ProjectPro

APRIL 8, 2015

AWS EMR is the best choice for organizations who do not want to manage thousands of servers directly - as they can rent out this cloud ready infrastructure of Amazon for big data analysis. Redshift is a completely managed petabyte scale data analytics solution that is cost effective in big data analysis with BI tools.

Hadoop 40

Hadoop Big Data Data Solutions Amazon Web Services 40

Knowledge Hut

DECEMBER 21, 2023

Data engineering involves a lot of technical skills like Python, Java, and SQL (Structured Query Language). For a data engineer career, you must have knowledge of data storage and processing technologies like Hadoop, Spark, and NoSQL databases. Understanding of Big Data technologies such as Hadoop, Spark, and Kafka.

Data Engineering 52

Data Engineering Data Engineer Engineering MongoDB 52

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Big Data Analysis Companies can acquire new insights and optimize business processes by harnessing the computing power of cloud computing. Every day, enormous amounts of data are collected from business endpoints, cloud apps, and the people who engage with them.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services Entertainment 98

AltexSoft

MAY 14, 2021

Any irrelevant or flawed data needs to be removed or taken into account. Several data quality tools can detect any flaws in datasets and conduct cleansing activities on them. Data analysis. To make sense of the huge amounts of data, there are several techniques and practices. NoSQL databases.

Big Data 78

Big Data Data Analytics IT NoSQL 78

ProjectPro

JUNE 17, 2015

A big-data resume with Hadoop skills highlighted on the list will attract employer’s attention immediately. 2) NoSQL Databases -Average Salary$118,587 If on one side of the big data virtuous cycle is Hadoop, then the other is occupied by NoSQL databases. from the previous year.

Cloud Computing 40

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

ProjectPro

OCTOBER 28, 2015

Apache Hadoop is synonymous with big data for its cost-effectiveness and its attribute of scalability for processing petabytes of data. Data analysis using hadoop is just half the battle won. Getting data into the Hadoop cluster plays a critical role in any big data deployment. Sqoop is not event-driven.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

ProjectPro

JANUARY 31, 2023

This process involves data collection from multiple sources, such as social networking sites, corporate software, and log files. Data Storage: The next step after data ingestion is to store it in HDFS or a NoSQL database such as HBase. Data Processing: This is the final step in deploying a big data model.

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JULY 27, 2021

Data Engineer Interview Questions on Big Data Any organization that relies on data must perform big data engineering to stand out from the crowd. But data collection, storage, and large-scale data processing are only the first steps in the complex process of big data analysis.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40