GitHub Postgres ETL: 2 Easy Methods September 6th, 2021 By Samuel Salimon in Data Integration, ETL, PostgreSQL GitHub, a widely used platform for version control and collaboration, often stores critical project data that organizations need to analyze alongside other business data. By setting up an efficient ETL…
Django MongoDB Integration Setting Up: 3 Easy Methods February 24th, 2022 By Abhinav Chola in Data Integration, MongoDB The Python Programming Language’s simple yet robust capabilities have made it popular among developers. This has led to the high usage of Django, a Python framework, in most modern software…
AWS RDS SQL Server Replication: 2 Easy Steps June 23rd, 2020 By Vishal Agrawal in AWS, Data Replication, SQL Server, Tutorials With the introduction of Cloud technologies, the demand to Replicate the on-premises data to Cloud technologies has increased. AWS, an abbreviated term for Amazon Web Services, is the world's leading…
Understanding Data Model Relationships: A Beginner’s Overview May 9th, 2022 By Sageena P Kunju in Data Strategy Data and its usage are becoming increasingly important in today's data-driven world. Data Model Relationships have become an essential factor in managing data. In simple terms, Data Modeling is “the…
5 Best ETL Automation Testing Tools for 2024 March 17th, 2023 By Jayesh Asrani in Data Automation, Data Engineering The ETL (Extract, Transform, Load) process is at the core of modern data management, ensuring that data is accurately moved and transformed between systems. However, even the most well-designed ETL…
Advanced Analytics in Tableau: A Comprehensive Guide April 14th, 2021 By Muhammad Faraz in Data Visualization Most companies today rely on data-driven decision-making to drive business growth. Data-driven decision-making can be defined as the process of making organizational decisions based on actual data rather than intuition…
How to Quickly Connect SQLite to MariaDB? May 2nd, 2023 By Davor DSouza, Parthiv Patel in Data Integration SQLite and MariaDB are two of the most popular open-source relational databases, both using SQL to manage data. While SQLite is perfect for smaller databases, it’s a self-contained, serverless option…
What is a Big Data Pipeline? Key Components, Architecture & Use Cases May 25th, 2022 By Amit Phaujdar in Data Engineering, Data Pipeline Big Data Pipelines can be described as subsets of ETL solutions. Like typical ETL solutions, they can dabble with semi-structured, structured, and unstructured data. The flexibility allows you to extract…
Salesforce Azure Integration: 3 Easy Steps September 7th, 2021 By Ayush Poddar in Data Integration Integrating your CRM (Customer Relationship Management) tools has become a must in the modern workplace. CRM solutions, such as Salesforce, provide a vast network of applications that are often utilized…
Snowflake API Integration: 2 Easy Methods April 5th, 2023 By Abhinav Chola in Data Integration, Snowflake Businesses today often implement the Snowflake API Integration to load data from different applications into the Snowflake Data Warehouse. Using this integration, data enrichment service providers can respond to data…
Redshift Concat Functions 101: Syntax and Usage Simplified September 2nd, 2021 By Rakesh Tiwari in Data Warehousing, Redshift Amazon Redshift is one of the prominent names in the field of Cloud Storage Services. It offers fully managed systems that can service the data warehousing and database needs of…
Understanding Snowflake Scaling Policy: Automatic Concurrency Made Easy February 9th, 2022 By Yash Sanghvi in Data Warehousing, Snowflake Snowflake is a Software-as-a-Service (SaaS) Data Warehousing solution. It uses SQL for querying the data, and like most other warehouses, it stores data in columns instead of rows to facilitate…
Setting Up AWS Glue Snowflake Integration: 3 Easy Steps May 28th, 2023 By Yash Sanghvi in AWS, Data Integration, Snowflake AWS Glue is a Cloud-optimized ETL (Extract, Transform, and Load) Service from Amazon Web Services (AWS). It allows you to organize, locate, move, and transform all your datasets across your…
Google Search Console Keyword Research: Made Easy October 8th, 2021 By Samuel Salimon in Data Strategy, Marketing Analytics Google Search Console provides invaluable insights into what Google believes your site pages are about, based on how well your site pages rank for specific queries and the number of…
How to Migrate Data from Google Search Console to BigQuery April 18th, 2023 By Manisha Jena in BigQuery, Data Integration When you manage a large number of websites and all your business decisions are based on the statistics of your website-related data, it can get difficult to process, manage, and…
10 Best Data Lineage Tools in 2024 December 15th, 2021 By Arsalan Mohammed in Data Strategy Data lineage can be defined as the pathway of the data journey, which includes its origin, each stop along the way, and an explanation of how and why the data…
How to Integrate Salesforce and Office365? October 4th, 2021 By Raj Verma in Data Integration How to establish the Salesforce Office 365 integration in detail in order to boost your productivity and save more time to spend on value-added Sales activities. Before getting into the…
Amazon RDS to BigQuery Migration: 2 Easy Methods April 5th, 2023 By Aniket Renuse, Parthiv Patel in BigQuery, Data Integration As data volumes continue exploding, many organizations find their Amazon RDS databases constrained by storage limits, scale challenges, and rising costs. Migrating from Amazon RDS to Google BigQuery offers a…
Snowflake CREATE USERS: Syntax, Usage & Practical Examples January 11th, 2022 By Harsh Varshney in Data Warehousing, Snowflake You need Real-Time High-Quality data from all your data sources in a central repository to empower your business decisions with data. Traditional On-premise Data Warehouse solutions are limited in terms…
Best Google BigQuery Public Datasets for 2024: 5 Useful Datasets January 8th, 2023 By Orina Mark in BigQuery, Data Warehousing It is no secret that data is precious, but Big Data is even better. With big data, you get a broader scope of research, which ultimately goes a great way…