Rockset

MARCH 24, 2022

Even though the complexity, data shape and data volume are increasing and changing, companies are looking for simpler and faster database solutions. More so now than before, companies want to easily query data across different sources without worrying about data ops.

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Knowledge Hut

JANUARY 24, 2024

Supports numerous data sources It connects to and fetches data from a variety of data sources using Tableau and supports a wide range of data sources, including local files, spreadsheets, relational and non-relational databases, data warehouses, big data, and on-cloud data.

BI 98

BI Business Intelligence Non-relational Database Certification 98

Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning.

Data Engineer 52

Data Engineer Data Engineering Engineering Non-relational Database 52

AltexSoft

JUNE 26, 2023

Data collection is a methodical practice aimed at acquiring meaningful information to build a consistent and complete dataset for a specific business purpose — such as decision-making, answering research questions, or strategic planning. Structured data is modeled to be easily searchable and occupy minimal storage space.

Data Collection 52

Data Collection Machine Learning Unstructured Data Electronics 52

Knowledge Hut

SEPTEMBER 22, 2023

Microsoft Azure Data Engineer Certification Career Opportunities I have seen data engineers finding employment in businesses or on projects focusing on a variety of industries, including artificial intelligence ( AI ), software, data analytics , healthcare, IT, retail, marketing , government, transportation, and more.

Certification 52

Certification Data Engineer Data Engineering IT 52

AltexSoft

NOVEMBER 23, 2021

But this data is all over the place: It lives in the cloud, on social media platforms, in operational systems, and on websites, to name a few. Not to mention that additional sources are constantly being added through new initiatives like big data analytics , cloud-first, and legacy app modernization.

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

JANUARY 31, 2023

In this blog, we'll dive into some of the most commonly asked big data interview questions and provide concise and informative answers to help you ace your next big data job interview. Get ready to expand your knowledge and take your big data career to the next level! “Data analytics is the future, and the future is NOW!

Big Data 52

Big Data Hadoop Relational Database NoSQL 52

Cloud Academy

JANUARY 27, 2022

Regular expressions can be used in all data formats and platforms. For example, you can learn about how JSONs are integral to non-relational databases – especially data schemas, and how to write queries using JSON. This includes understanding the AWS data analysis services and how they interact with one another.

Certification 52

Certification Data Engineer Data Engineering Engineering 52

Silectis

JANUARY 3, 2021

MapReduce MapReduce is a component of the Hadoop framework that’s used to access big data stored within the Hadoop File System Metadata A set of data that describes and gives information about other data. MySQL An open-source relational databse management system with a client-server model.

Data Engineer 40

Data Engineer Data Engineering Engineering Non-relational Database 40

ProjectPro

JUNE 6, 2025

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

Data Engineer 49

Data Engineer Data Engineering Engineering Certification 49

ProjectPro

NOVEMBER 15, 2021

It incorporates caching, stream computing, message queuing, and other functionalities to decrease the complexity and expenses of development and operations, in addition to the 10x quicker time-series database. DataFrames are used by Spark SQL to accommodate structured and semi-structured data.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JULY 27, 2021

Also, you will find some interesting data engineer interview questions that have been asked in different companies (like Facebook, Amazon, Walmart, etc.) that leverage big data analytics and tools. Preparing for data engineer interviews makes even the bravest of us anxious.

Data Engineer 40

Data Engineer Data Engineering Engineering Hadoop 40

ProjectPro

JANUARY 19, 2022

Here are some role-specific skills you should consider to become an Azure data engineer- Most data storage and processing systems use programming languages. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Learning SQL is essential to comprehend the database and its structures.

Data Engineer 52

Data Engineer Data Engineering Engineering Certification 52

ProjectPro

JUNE 6, 2025

As Big Data Hadoop projects make optimum use of ever-increasing parallel processing capabilities of processors and expanding storage spaces to deliver cost-effective, reliable solutions; they have become one of the must have big data skills that one must possess if they want to work on any kind of big data project.

Hadoop 40

Hadoop Project Big Data Media 40

Knowledge Hut

DECEMBER 26, 2023

This big data book for beginners covers the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining.

Big Data 75

Big Data Data Mining Business Intelligence Non-relational Database 75

U-Next

AUGUST 3, 2022

A Data Scientist is a person who combines computer science, analytics, and arithmetic. They gather and examine enormous amounts of structured and unstructured data. They investigate the outcomes of processing data, analytics, and modelling to offer suggestions for businesses and other groups.

Retail 52

Retail Data Science Computer Science Entertainment 52