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. When we use the find command, we fetch all the data set from the collection as follows.

MongoDB 52

MongoDB Project Database-centric NoSQL 52

AltexSoft

JUNE 7, 2021

Hadoop and Spark are the two most popular platforms for Big Data processing. They both enable you to deal with huge collections of data no matter its format — from Excel tables to user feedback on websites to images and video files. Which Big Data tasks does Spark solve most effectively? How does it work? cost-effectiveness.

Big Data Tools 98

Big Data Tools Hadoop Big Data Database-centric 98

Knowledge Hut

DECEMBER 27, 2023

In the early 1800s, as the field of statistics expanded, it included collecting and analyzing data. But it saw the first problem with the overwhelming amount of data. Throughout the 20th century, volumes of data kept growing at an unexpected speed and machines started storing information magnetically and in other ways.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

Grouparoo

OCTOBER 6, 2021

It was a fun experience and I think we made a good choice by picking 97 Things Every Data Engineer Should Know. This provided a nice overview of the breadth of topics that are relevant to data engineering including data warehouses/lakes, pipelines, metadata, security, compliance, quality, and working with other teams.

Data Engineering 52

Data Engineering Data Engineer Engineering Pipeline-centric 52

Knowledge Hut

JULY 26, 2023

These backend tools cover a wide range of features, such as deployment utilities, frameworks, libraries, and databases. These tools give programmers the capabilities to handle application logic, manage data storage, and interact with the application's front end. Benefits of Backend Tools 1.

Database-centric 52

Database-centric Programming Language Pipeline-centric Utilities 52

Knowledge Hut

MARCH 26, 2024

Develop infrastructure blueprints for data centers and cloud environments, including physical and virtual components. Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Knowledge Hut

JULY 3, 2023

In today's fast-paced and data-driven world, users increasingly depend on real-time intuition to get an aggressive side and define a plan of action. This is where real-time data ingestion comes into the picture. Data is collected from various sources such as social media feeds, website interactions, log files and processing.

Data Ingestion 52

Data Ingestion Pipeline-centric Google Cloud Media 52

ProjectPro

OCTOBER 3, 2016

News on Hadoop-September 2016 HPE adapts Vertica analytical database to world with Hadoop, Spark.TechTarget.com,September 1, 2016. To compete in a field of diverse data tools, Vertica 8.0 has expanded its analytical database support for Apache Hadoop and Spark integration and also to enhance Apache Kafka management pipeline.

Hadoop 52

Hadoop Database-centric Pipeline-centric Big Data 52

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 Kafka Pipeline-centric Retail 56

Confluent

FEBRUARY 13, 2019

I will then wrap it up by composing the beginnings of a solution architecture that walks through the event streaming app, but also attaches event-stream patterns for “running on rails” in addition to instrumentation, data and control planes. Data evolution. Data models need to be developed in relation to use cases.

Architecture 88

Architecture Programming Kafka Database-centric 88

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

ProjectPro

MAY 19, 2015

It is possible today for organizations to store all the data generated by their business at an affordable price-all thanks to Hadoop, the Sirius star in the cluster of million stars. The requirement for processing zettabytes of unstructured big data is generating demand for professionals with Hadoop skills to work with unstructured data.

Hadoop 40

Hadoop Big Data NoSQL Database-centric 40

Confluent

AUGUST 19, 2019

The classification model is as follows: Sources and sinks: integrations that read or write data to Kafka topics. Stream processors: integrations that process data in Kafka via KSQL, Kafka Streams, or something else. A configuration-based turnkey deployment framework for loading data into Apache Kafka. Showcase partners.

Programming 15

Programming Kafka Database-centric MongoDB 15