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Firestore Data Model: An Easy Guide

April 12th, 2022 By Vishal Agrawal in Data Strategy

Firestore is a NoSQL, document-oriented database modeling and relationship builder, which means no tables or rows exist, unlike SQL databases. So, you store data in documents that are later organized…

What is AWS SQS (Simple Queue Service)?: 5 Comprehensive Aspects

April 11th, 2022 By Abhinav Chola in Data Strategy

Modern developers create complex applications that require a communication setup for exchanging messages among their components. Moreover, even a slight change in the message sequence can render the application useless…

RabbitMQ Exchange Types: How Messages are Sent and Received

April 11th, 2022 By Syeda Famita Amber in Data Strategy

RabbitMQ is a lightweight, open-source, and easy-to-deploy message broker that enables services and applications to communicate. It supports multiple messaging protocols like AMQP (Advanced Message Queuing Protocol), and MQTT (MQ…

Understanding Predictive Forecasting Simplified 101

April 11th, 2022 By Aditya Jadon in Data Strategy

Anyone running a business wants to predict its future. Though it is not possible exactly to some extent, you can get an estimation because business comes with uncertainty and risks…

Working with Java REST APIs: 3 Comprehensive Aspects

April 11th, 2022 By Abhinav Chola in Data Strategy, Rest API

This article will introduce you to the Java Programming Language and REST APIs along with their key features. It will also explain the structure and working of REST API calls.…

AWS SQS SendMessage Command 101: Syntax, Easy Steps & Examples

April 11th, 2022 By Osheen Jain in Data Strategy

In modern cloud architecture, systems are built by breaking applications into smaller, independent components that are easier to develop, maintain, and deploy. Message queues play a crucial role in connecting…

Data Ingestion Google Cloud Simplified 101

April 11th, 2022 By Manisha Jena in Data Ingestion, Data Strategy

Creating Cloud-based Data Ingestion pipelines that replicate data from multiple sources into your cloud data warehouse can be a huge project that demands a lot of manpower. Such a massive…

AWS Lambda Docker Image: An Easy Guide

April 8th, 2022 By Yash Arora in AWS, Data Integration

With high scalability, fault tolerance infrastructure, and pay-per-value services pricing model, AWS Lambda, with its latest support — AWS Lambda Docker Image — now caters to a broader audience of developers, helping…

Methods to Document Data in Data Mining Simplified 101

April 8th, 2022 By Raj Verma in Data Strategy

In this age of Information Economy, data is generated from every digital computing device, handheld phone, workstation, server, and so on. Organizations are storing, processing, and analyzing data more than…

RDS Oracle PostgreSQL Integration: 2 Easy Methods

April 8th, 2022 By Hitesh Jethva in Data Integration, PostgreSQL

Easily move your data from RDS Oracle PostgreSQL to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see the…

Entity Data Model Designer: a Comprehensive Guide 101

April 8th, 2022 By Harshitha Balasankula in Data Strategy

While there are many Data Modeling tools available, there is a free one in Visual Studio. It is called the Entity Data Model Designer. The Entity Framework Models can be…

Salesforce Batch Jobs 101: Configuring Salesforce Apex Jobs Simplified

April 8th, 2022 By Roxana Raducanu in Data Strategy, Sales Operations

Salesforce is one of the most popular customer relationship management tools that allow you to streamline Customer Interactions, Marketing Operations, and Overall Sales. According to a report, over 150,000 websites…

What are Azure Data Factory Triggers?[+Examples and Types]

April 8th, 2022 By Ishwarya M in Data Strategy

Azure Data Factory is one of the most popular Cloud-based Data Integration Services that allows you to create, manage, and schedule Data Pipelines or Workflows. It has a rich set…

What is Data Ingestion? A Complete Guide

April 7th, 2022 By Amit Phaujdar in Data Ingestion, Data Strategy

Organizations depend heavily on data for predicting trends, planning for future requirements, making business decisions, understanding consumers, and predicting the market. However, to execute these tasks, it is necessary to…

Azure SQL to SQL Server: 2 Easy Methods

April 7th, 2022 By Roxana Raducanu in Data Integration, SQL Server

Key Takeaways Exporting data from Azure SQL to SQL Server is easy. Choose between a simple no-code approach or a native toolkit depending on your needs: Method 1: Using Hevo…

Understanding Google Cloud SQL High Availability: Simplified 101

April 7th, 2022 By Shravani Kharat in Database Management System, MySQL

Building a fault-tolerant, highly scalable cloud-based application has become increasingly important as the demand for cloud-based applications is growing rapidly. However, robust applications are often supported by several components/software. This…

What is Streaming Kafka Data Pipeline and How to Build It?

April 7th, 2022 By Aditya Jadon in Data Engineering, Data Pipeline

To stay ahead of their competitors, organizations use data-driven approaches to run their business operations efficiently. Applications or websites with lagging services can hinder business growth. To deliver high performance,…

What is Data Validation? Overview, Types, and Examples

April 7th, 2022 By Manisha Jena in Data Strategy

Key Takeaways Data validation ensures the accuracy, completeness, and quality of information before processing or storage within systems and databases. For implementing effective data validation, you should establish validation rules,…

How to Create and Structure Data Science Workflow

April 6th, 2022 By Samuel Salimon in Data Strategy

In this article,You will also gain a holistic understanding of how to structure a Data Science Workflow and what should be kept in mind while following the different steps in…

Descriptive and Predictive Data Mining Comparison: 6 Critical Differences

April 6th, 2022 By Harshitha Balasankula in Data Strategy

The main goal of Data Mining is to find valid, potentially useful, and easily understandable correlations and patterns in existing data. Data Mining can achieve this goal by modeling it…

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Categories

Firestore Data Model: An Easy Guide

What is AWS SQS (Simple Queue Service)?: 5 Comprehensive Aspects

RabbitMQ Exchange Types: How Messages are Sent and Received

Understanding Predictive Forecasting Simplified 101

Working with Java REST APIs: 3 Comprehensive Aspects

AWS SQS SendMessage Command 101: Syntax, Easy Steps & Examples

Data Ingestion Google Cloud Simplified 101

AWS Lambda Docker Image: An Easy Guide

Methods to Document Data in Data Mining Simplified 101

RDS Oracle PostgreSQL Integration: 2 Easy Methods

Entity Data Model Designer: a Comprehensive Guide 101

Salesforce Batch Jobs 101: Configuring Salesforce Apex Jobs Simplified

What are Azure Data Factory Triggers?[+Examples and Types]

What is Data Ingestion? A Complete Guide

Azure SQL to SQL Server: 2 Easy Methods

Understanding Google Cloud SQL High Availability: Simplified 101

What is Streaming Kafka Data Pipeline and How to Build It?

What is Data Validation? Overview, Types, and Examples

How to Create and Structure Data Science Workflow

Descriptive and Predictive Data Mining Comparison: 6 Critical Differences

Optimize Your Data Integration with Hevo!

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