Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineer 52

Data Engineer Data Engineering Engineering Amazon Web Services 52

Edureka

JUNE 1, 2023

percent of the world’s population, were social media users. The total amount of data created, captured, copied, and consumed globally is forecast to increase rapidly, reaching 64.2 Over the next five years up to 2025 , global data creation is projected to grow to more than 180 zettabytes. As of January 2023, there were 5.16

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Knowledge Hut

FEBRUARY 7, 2023

However, we'll limit our attention in this post to infrastructure-as-a-service (IaaS) cloud service providers like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Since several businesses have begun exploring AWS for various workloads or to move, there are a lot of courses about it.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Google Cloud 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Edureka

JULY 4, 2024

Amazon Elastic File System (EFS) is a service that Amazon Web Services ( AWS ) provides. It is intended to deliver serverless, fully-elastic file storage that enables you to share data independently of capacity and performance.

AWS 52

AWS Systems Amazon Web Services Cloud Storage 52

Knowledge Hut

NOVEMBER 2, 2023

An Azure Data Engineer is a professional who is in charge of designing, implementing, and maintaining data processing systems and solutions on the Microsoft Azure cloud platform. A Data Engineer is responsible for designing the entire architecture of the data flow while taking the needs of the business into account.

Data Engineer 52

Data Engineer Data Engineering Project Coding 52

Knowledge Hut

DECEMBER 26, 2023

IBM is the leading supplier of Big Data-related products and services. IBM Big Data solutions include features such as data storage, data management, and data analysis. Amazon - Amazon's cloud-based platform is well-known.

Big Data 52

Big Data Unstructured Data Amazon Web Services Hadoop 52

Edureka

JULY 16, 2024

Introduction Amazon Redshift, a cloud data warehouse service from Amazon Web Services (AWS), will directly query your structured and semi-structured data with SQL. A fast, secure, and cost-effective, petabyte-scale, managed cloud object storage platform.

AWS 40

AWS Data Warehouse Amazon Web Services Business Intelligence 40

Knowledge Hut

JUNE 26, 2023

From analysts to Big Data Engineers, everyone in the field of data science has been discussing data engineering. When constructing a data engineering project, you should prioritize the following areas: Multiple sources of data (APIs, websites, CSVs, JSON, etc.) Source Code: Smart Cities Using Big Data 3.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

Knowledge Hut

JULY 3, 2023

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. This refers to Real-time data ingestion. These use cases show only fractional potential applications of real-time data ingestion.

Data Ingestion 52

Data Ingestion Google Cloud Pipeline-centric Media 52

ProjectPro

SEPTEMBER 6, 2021

Google launched its Cloud Platform in 2008, six years after Amazon Web Services launched in 2002. Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. General Purpose instances are suitable for web servers.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Monte Carlo

FEBRUARY 20, 2024

Integrations : Provides a wide range of pre-built connectors for both cloud and on-premises data sources, including databases, SaaS applications, CRM and ERP systems, social media platforms, and more. Bottom Line : Kinesis excels in scalability and integration within AWS services.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Knowledge Hut

NOVEMBER 17, 2023

The global market for cloud services is expected to reach $623 billion by 2023, up from $272 billion in 2018. This rapid growth is being driven by a number of factors, including the increasing adoption of cloud-based applications, the growing need for data storage and processing, and the rise of IoT devices.

Cloud Computing 52

Cloud Computing Cloud Google Cloud Amazon Web Services 52

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

FEBRUARY 8, 2023

Smooth Integration with other AWS tools AWS Glue is relatively simple to integrate with data sources and targets like Amazon Kinesis, Amazon Redshift, Amazon S3, and Amazon MSK. It is also compatible with other popular data storage that may be deployed on Amazon EC2 instances.

AWS 98

AWS Scala Metadata Data Lake 98

Knowledge Hut

JULY 26, 2023

To ensure data consistency and reliability, the ACID (Atomicity, Consistency, Isolation, and Durability) properties are maintained. Database Application Providers- (Amazon, Facebook): Amazon and Facebook are two well-known organizations that offer comprehensive database application solutions. Spatial Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 52

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. Data storage and processing.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Knowledge Hut

APRIL 25, 2024

Mirai-infected devices (which became "zombies") were used to launch the world's first 1Tbps Distributed Denial-of-Service (DDoS) attack on servers at the heart of internet services in September 2016. One of the major issues for IoT privacy and security is that compromised devices can be used to access sensitive data.

Medical 52

Medical Manufacturing Healthcare Electronics 52

Confluent

MARCH 4, 2019

A trend often seen in organizations around the world is the adoption of Apache Kafka ® as the backbone for data storage and delivery. Different data problems have arisen in the last two decades, and we ought to address them with the appropriate technology. But cloud alone doesn’t solve all the problems.

Cloud 89

Cloud Banking Kafka NoSQL 89

ProjectPro

JULY 15, 2021

It is recommended to use SQL database for data storage as it comes with built-in security tools and features. To further enhance the system functions, you can integrate discussion forums and social media integration for the bibliophiles to interact with one another.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

U-Next

JULY 2, 2022

As a result of cloud computing, users can remotely access unlimited data storage and software from any location as long as they have an internet connection without having to invest in expensive hardware for every office they operate. The ability to handle data and interact with databases is a must.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Google Cloud 52

Knowledge Hut

DECEMBER 26, 2023

Analyzing more data points will therefore give you a more detailed insight into your study. The spectrum of sources from which data is collected for the study in Data Science is broad. It comes from numerous sources ranging from surveys, social media platforms, e-commerce websites, browsing searches, etc.

Data Engineer 98

Data Engineer Data Engineering Engineering Pipeline-centric 98

ProjectPro

MAY 31, 2021

And even if you’re not very active on social media, I’m sure you now and then check your phone before leaving the house to see what the traffic is like on your route to know how long it could take you to reach your destination. Spark has a Streaming tool that can process real-time streaming data.

Big Data 52

Big Data Coding Project Hadoop 52

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Below, we share what the “basic” data platform looks like and list some hot tools in each space (you’re likely using several of them): The modern data platform is composed of five critical foundation layers. Data Storage and Processing The first layer?

Building 52

Building BI Data Lake Data Governance 52