10 Best Airflow Alternatives for 2025 April 10th, 2023 By Shubhnoor Gill in Data Strategy Apache Airflow is a workflow orchestration platform for orchestrating distributed applications. It leverages DAGs (Directed Acyclic Graphs) to schedule jobs across several servers or nodes. Airflow is also used to manage Data…
14 Top Data Mapping Tools for 2025 October 7th, 2021 By Pratik Dwivedi in Data Strategy For analytics use cases, your data would eventually move from your data warehouse to your BI tools. Hence another iteration of data mapping would be needed to fine-tune your data…
How to Connect Google Sheets to SQL Server Using 2 Methods? April 27th, 2023 By Vishal Agrawal in Data Integration, SQL Server Google Sheets and SQL Server can make a powerful data management combination. The cloud-based Sheets provide easy collaboration, while SQL Server offers robust relational database capabilities for storing and querying…
How to Integrate Elasticsearch and MongoDB: Easy Steps Explained December 21st, 2023 By Vishal Agrawal in Data Integration, MongoDB Integrating Elasticsearch and MongoDB doesn’t have to be difficult. In this guide, discover three easy methods to integrate Elasticsearch with MongoDB, allowing you to search and analyze your data more…
Using MySQL BinLogs: A Detailed Guide June 19th, 2020 By Nicholas Samuel in Database Management System, MySQL The availability of data is a crucial aspect of every business or organization. Organizations practice various methods to ensure that data is available for replication & recovery. MySQL BinLogs play…
Import Excel Data to PostgreSQL in 4 Easy Methods May 10th, 2023 By Harsh Varshney in Data Integration, PostgreSQL There are a variety of methods to import Excel to PostgreSQL; some are simple, while others are more complicated, depending on the sort of data you receive and the format…
Connect SQL Server to Power BI: 4 Easy Methods July 5th, 2020 By Oshi Varma in Data Integration, SQL Server Are you looking for an easy way to connect SQL Server to Power BI? Does the process of analyzing your SQL Server data look difficult? If this applies to you,…
Exploring BigQuery Regex and Pattern Matching January 20th, 2022 By Amit Kulkarni in BigQuery, Data Warehousing Regular expressions are an incredibly powerful tool for manipulating, searching, and transforming text data. Also known as regex, they provide a concise way to match strings of text against specified…
Oracle SQLPlus Export To CSV Data: A Comprehensive Guide June 23rd, 2020 By Monica Patel, Vishal Agrawal in Data Integration Oracle is a database that is widely used in the IT industry due to its extensive data management capabilities. In the era of big data, there is a surging demand…
BigQuery Timestamp to Date Conversion: Data Transformation December 27th, 2023 By Osheen Jain in BigQuery, Data Warehousing When working with data in BigQuery, you may encounter timestamp fields that you want to convert to simple date values instead. Timestamps in BigQuery are represented as strings in the…
Becoming a Certified Data Analyst: Top 10 Certifications July 29th, 2021 By Rakesh Tiwari in Data Strategy In recent years, the explosive interest in technologies such as Big Data and Artificial Intelligence has led to a significant increase in the demand for Data Analysts and Data Scientists.…
HTTP API vs REST API: 3 Critical Differentiators November 3rd, 2021 By Shubhnoor Gill in Data Strategy, Rest API, Versus Application Programming Interfaces (API) facilitate the integration of diverse applications by offering code documentation and information pipelines to aid developers in developing powerful digital solutions. APIs operate as a bridge…
Essential Kafka CLI Commands for Managing Data in 2025 February 28th, 2022 By Jeremiah in Data Integration, Kafka The Kafka CLI is an interactive shell environment that provides you with command-line access for managing your Kafka resources programmatically. You can use the Kafka CLI to type in text…
12 Critical Differences Between Azure Synapse vs Databricks January 10th, 2023 By Amit Kulkarni in Data Strategy, Versus Generating insights from big data is challenging for every organization since data collected from various sources are mostly unstructured. Derriving insights from unorganized data using traditional big data methods requires…
PostgreSQL Streaming Replication: 2 Easy Methods April 7th, 2023 By Vishal Agrawal in Data Replication, PostgreSQL, Tutorials Data replication ensures the duplication of data on an ongoing basis so that the replicate is in a consistently updated state and is synchronized with the source. This ensures high…
PostgreSQL Sync Replication: Effective Methods to Get Started Explained April 24th, 2023 By Muhammad Faraz in Database Management System, PostgreSQL In addition to being open-source, PostgreSQL is highly extensible. It allows you to define your data types, develop your own custom functions, and write codes in different programming languages without…
How to Install Kafka on Mac? 3 Easy Steps January 19th, 2022 By Sanchit Agarwal in Data Warehousing, Kafka Real-Time Data in the form of events from sources such as Databases, sensors, mobile devices, cloud services, and software applications is crucial for business growth. A Community Distributed Message Streaming…
Dimensional Data Modelling: Simplified with Step-by-Step Explanation February 9th, 2021 By Vishal Agrawal in Data Strategy In today’s world, data is a crucial part of any organization. Many companies transform the data through an ETL (Extract, Transform and Load) process and store this data in a…
What is Oracle CDC and How to Perform It? February 1st, 2022 By Sarad Mohanan in Change Data Capture CDC Almost all companies today, irrespective of their market position or size, leverage the data collected to analyze their business & customers, making smarter and informed business decisions that help drive…
How to Setup ETL Using Python? Examples, Use-cases & Alternatives April 5th, 2023 By Manik Chhabra in Data Integration, ETL ETL (Extract, Transform, Load) is a crucial data integration and analysis process, enabling businesses to gather insights from diverse data sources. With its simplicity and powerful libraries, Python has become…