Recent Articles

SQLite Snowflake Integration: Easy Steps Explained

April 21st, 2022 By Abhinav Chola in Data Integration, Snowflake

SQLite is a lightweight and open-source RDBMS tool that allows companies to manage their transactional data. It is best suited for smaller Databases and it does not have any specific…

How to Migrate SQLite BigQuery | 2 Easy Steps

April 21st, 2022 By Harsh Varshney in BigQuery, Data Integration

SQLite is an Open-source, Transaction Relational Database Engine that requires zero configuration and can be embedded within any application. On the other hand, Google BigQuery has established itself as an…

Building Apache Spark Data Pipeline Made Easy 101

April 21st, 2022 By Harshitha Balasankula in Data Engineering, Data Pipeline

A Data Pipeline is a system for transporting data from one location (the source) to another (the destination) (such as a data warehouse). Data is transformed and optimized along the…

How to Build a Message Queue using Python? | Made Easy

April 21st, 2022 By Kavya Tolety in Data Strategy

Python Message Queue - What it is all about? And, how can one build a message queue for effective communication using Python programming language? Continue reading.. Modern-day applications rely on…

How to Migrate SQLite to SQL Server? | Easy Steps

April 20th, 2022 By Amit Phaujdar in Data Integration, SQL Server

Key Takeaways SQLite to SQL Server migration involves establishing robust containerized environments for enhanced portability and scalability. For seamless implementation, configure Docker with 12GB memory allocation, pull official SQL Server…

Enrich ElasticSearch Simplified 101

April 20th, 2022 By Sanchit Agarwal in Data Strategy

Inconsistent or incomplete data can often lead to inaccurate results and missed opportunities. Ingesting data from several data sources can be a challenging task, however free and open-source tools like…

MySQL High Availability and Replication: A Complete Guide

April 20th, 2022 By Ishwarya M in Data Integration, MySQL

Every organization often uses a variety of business-critical databases and applications, such as Data Warehouses, Customer Relationship Management (CRM) Systems, E-commerce & Supply Chain Management Applications, and Financial & Business…

Everything You Need to Know About Elasticsearch Ingest Pipeline

April 19th, 2022 By Sanchit Agarwal in Data Engineering, Data Pipeline

Extracting data from data sources has always been a challenge for organizations worldwide. One of the popular free and open-source tools for creating Ingestion pipelines is ElasticSearch. It acts as…

Understanding Azure Data Factory Schedules Simplified 101

April 19th, 2022 By Syeda Famita Amber in Data Strategy

Companies store and analyze their business data to make smarter decisions. They have their data scattered in a multitude of sources that need to be unified and analyzed to generate…

Spring Batch Parallel Processing and Scaling 101

April 19th, 2022 By Syeda Famita Amber in Data Strategy

A lightweight, all-in-one batch framework that makes it easier to create dependable batch applications that are vital to the day-to-day operations of enterprise systems. Spring Batch comes with reusable features…

AWS Fault Tolerance Architecture: 9 Critical Components

April 19th, 2022 By Vishal Agrawal in Data Strategy

AWS has become an essential aspect of everyday life, and no matter where we are,  we interact with software almost daily, e.g., Mobile Phones, ATMs, the Internet, etc. Since the…

Java Batch Processing using JDBC Drivers: A Comprehensive Guide 101

April 19th, 2022 By Manjiri Gaikwad in Data Strategy

Java Database Connectivity (JDBC) is an API that enables Java programs to interact with databases. JDBC API is implemented through the JDBC drivers that help you access your database through…

Sisense QuickBooks Integration: 5 Easy Steps

April 19th, 2022 By Jeremiah in Data Integration

In recent years, there has been a cultural shift in the accounting and finance fields as the industry adapts to emerging technologies such as big data analytics and Artificial Intelligence…

Message Brokers: Key Models, Use Cases & Tools Explained

April 19th, 2022 By Manisha Jena in Data Strategy

Modern applications are becoming increasingly complex. Time-consuming and resource-intensive operations, communication between multiple services, and processing large amounts of data are just a few of the issues that developers face.…

How to use Lambda DynamoDB: A Complete Guide

April 19th, 2022 By Manjiri Gaikwad in Data Strategy

Users can utilize AWS Lambda functions to run their applications, code, or any backend service without having to bother about administration. AWS allows users to trigger Lambda functions on top-rated…

Redis Message Queue: 4 Easy Steps to Build a Message Broker

April 18th, 2022 By Osheen Jain in Data Strategy

A message broker is a software that enables seamless communication between systems, applications, and services, even if they're built with different technologies or platforms. It simplifies asynchronous communication in microservices,…

SNS Lambda Trigger Functions & Events: Simplified 101

April 18th, 2022 By Samuel Salimon in Data Strategy

AWS Lambda and Amazon SNS work seamlessly together, allowing you to trigger Lambda functions using Amazon SNS notifications. When a message is published to an SNS topic with a Lambda…

Tableau Pipedrive Integration: 2 Easy Methods

April 18th, 2022 By Pratik Dwivedi in Data Integration, Tableau

With regards to business seals, most of the success relies upon how an employee organizes and their prospective customers (Sale Leads). Good Lead Management helps to improve an employee’s capability…

How to use C# Lambda Expressions? | Syntax & Practical Examples 101

April 18th, 2022 By Harsh Varshney in Data Strategy

Anonymous Functions that contain expressions or a succession of operators are known as Lambda Expressions. The lambda operator =>, which may be read as "goes to" or "becomes," is used…

Asana Power BI Integration Simplified 101

April 18th, 2022 By Aditya Jadon in Data Integration, PowerBI

Companies can analyze data from Asana and use it to optimize their workflow, improve team collaboration, etc. with the help of Data Visualization tools and reporting tools such as Power…