Knowledge Hut

JULY 3, 2023

Appreciated Customer Experience: The industry focuses on customer-centric approaches to enhance the overall customer experience. Like, in-memory databases, NoSQL databases, data lakes, or cloud-based storage, depending upon the requirements of the organization.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

MAY 19, 2015

According to Technology Research Organization, Wikibon-“Hadoop and NoSQL software and services are the fastest growth technologies in the data market.” To fill these job listings and to justify the demand for deep technical talent in engineer centric organizations, professionals must learn Hadoop. billion from 2012 to 2017.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Knowledge Hut

DECEMBER 26, 2023

Data Engineers are skilled professionals who lay the foundation of databases and architecture. Using database tools, they create a robust architecture and later implement the process to develop the database from zero. Data engineers who focus on databases work with data warehouses and develop different table schemas.

Data Engineering 76

Data Engineering Data Engineer Engineering Pipeline-centric 76

ProjectPro

MARCH 19, 2015

Big Data NoSQL databases were pioneered by top internet companies like Amazon, Google, LinkedIn and Facebook to overcome the drawbacks of RDBMS. As data processing requirements grow exponentially, NoSQL is a dynamic and cloud friendly approach to dynamically process unstructured data with ease.IT

NoSQL 49

NoSQL Big Data SQL Database-centric 49

Ripple Engineering

JANUARY 29, 2024

For Ripple's product capabilities, the Payments team of Ripple, for example, ingests millions of transactional records into databases and performs analytics to generate invoices, reports, and other related payment operations.    A lack of a centralized system makes building a single source of high-quality data difficult.

Database-centric 52

Database-centric Pipeline-centric NoSQL High Quality Data 52

U-Next

AUGUST 17, 2022

SQL – A database may be used to build data warehousing, combine it with other technologies, and analyze the data for commercial reasons with the help of strong SQL abilities. NoSQL – This alternative kind of data storage and processing is gaining popularity. Skills Required To Be A Data Engineer.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

Knowledge Hut

JANUARY 23, 2024

Mongo DB is a popular NoSQL and open-source document-oriented database which allows a highly scalable and flexible document structure. As a NoSQL solution, MongoDB is specifically designed to adeptly handle substantial volumes of data. To overcome such issues, MongoDB provides a special feature known as MongoDB Projection.

MongoDB 52

MongoDB Project Database-centric NoSQL 52

Knowledge Hut

JULY 26, 2023

These backend tools cover a wide range of features, such as deployment utilities, frameworks, libraries, and databases. Better Data Management: Database management solutions offered by backend tools enable developers to quickly store, retrieve, and alter data. Store information for running tests in different environments.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Knowledge Hut

DECEMBER 27, 2023

Variety : Refers to the professed formats of data, from structured, numeric data in traditional databases, to unstructured text documents, emails, videos, audios, stock ticker data and financial transactions. Traditional databases cannot process huge data hence best big data tools that manage big data easily are used by businesses.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

AltexSoft

JUNE 7, 2021

Data engineers who previously worked only with relational database management systems and SQL queries need training to take advantage of Hadoop. Apache HBase , a noSQL database on top of HDFS, is designed to store huge tables, with millions of columns and billions of rows. Complex programming environment. Data storage options.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

ProjectPro

JULY 30, 2021

Compared to Cloud computing, Mobile computing is more customer-centric. Use cases are in-memory caches and open-source databases. They get used in NoSQL databases like Redis, MongoDB, data warehousing. Aurora is the database engine that gives reliability and speed at par with industry-standard databases.

Cloud Computing 40

Cloud Computing Cloud Amazon Web Services AWS 40

Confluent

FEBRUARY 13, 2019

Akka Streams then changed tact as streaming became the core mechanism to drive processors in a more data-centric manner. We think of streams and events much like database tables and rows; they are the basic building blocks of a data platform. The term is called turning the database inside out.

Architecture 90

Architecture Programming Kafka Database-centric 90

Confluent

SEPTEMBER 25, 2019

Of course, this is not to imply that companies will become only software (there are still plenty of people in even the most software-centric companies), just that the full scope of the business is captured in an integrated software defined process. Here, the bank loan business division has essentially become software.

Database-centric 56

Database-centric Pipeline-centric Kafka Retail 56

Confluent

AUGUST 19, 2019

This documentation is brand new and represents some of the most informative, developer-centric documentation on writing a connector to date. Kinetica develops an in-memory database accelerated by GPUs that can simultaneously ingest, analyze, and visualize event streaming data.

Programming 15

Programming Kafka Database-centric MongoDB 15