Data Warehousing

Azure Synapse vs BigQuery Comparison: 5 Critical Differences

February 11th, 2022 By Pratik Dwivedi in BigQuery, Data Warehousing

Google BigQuery and Microsoft’s Azure Synapse are cloud-based data warehouse solutions provided as SAAS offerings. They provide advanced analytics, querying, and report-making features too.  Both Microsoft Azure Synapse and Google BigQuery…

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…

GCP Kafka Installation: A Comprehensive Guide 101

February 4th, 2022 By Manisha Jena in Data Warehousing, Kafka

Apache Kafka is a distributed Publish-Subscribe Messaging platform explicitly designed to handle Real-time Streaming data. It helps in Distributed Streaming, Pipelining, and replay of data feeds for quick, scalable workflows.…

BigQuery Nested Fields Simplified: A Comprehensive Guide 101

February 4th, 2022 By Nicholas Samuel in BigQuery, Data Warehousing

BigQuery is a popular Cloud Data Platform developed by Google. It allows its users to store their data in the cloud and enjoy massive scalability. BigQuery also comes with Data…

Understanding EDW (Enterprise Data Warehouse) Simplified 101

February 3rd, 2022 By Manik Chhabra in Data Warehousing

Do you wish to understand what an Enterprise Data Warehouse (EDW) is? Do you want to understand its various possible architectures and types? If yes, then you’ve come to the…

Google BigQuery vs Azure Synapse: 5 Critical Differences

February 2nd, 2022 By Davor DSouza in BigQuery, Data Warehousing, Versus

Cloud Computing has played a critical role in transforming the global business landscape. Companies no longer need to worry about data storage resources because cloud service providers can provide these…

6 Best Open Source Alternative to Snowflake

February 2nd, 2022 By Nicholas Samuel in Data Warehousing, Snowflake

Data Warehouses help individuals and businesses store huge volumes of data for Analytics. This helps organizations to draw meaningful insights from their data, which can improve their decision-making process. Snowflake…

Google BigQuery Limits & Quotas: Comprehensive Guide 101

February 1st, 2022 By Aditya Jadon in BigQuery, Data Warehousing

Companies allocate a significant amount of budget for managing the data and other business operations for Marketing and Analytics. They know the importance of data in making data-driven business decisions…

Simplifying JSON Data: How to Use Snowflake Flatten and Lateral Joins

February 1st, 2022 By Harsh Varshney in Data Warehousing, Snowflake

Snowflake is a more Cost-Effective and Instantly Scalable data warehouse with industry-leading Query Performance. In this article, you will learn everything about Snowflake Flatten, along with the process that you…

Google Cloud SQL vs BigQuery: Key Differences Simplified

January 31st, 2022 By Nicholas Samuel in BigQuery, Data Warehousing, Versus

In the ever-evolving landscape of cloud computing, businesses are inundated with choices when it comes to managing their data. Among the most prominent options are Google Cloud SQL and BigQuery—two…

Apache Kafka Queue 101: Messaging Made Easy

January 31st, 2022 By Preetipadma Khandavilli in Data Warehousing, Kafka

Apache Kafka is a distributed publish-subscribe messaging platform explicitly designed to handle real-time streaming data. It helps in distributed streaming, pipelining, and replay of data feeds for quick, scalable workflows.…

Airflow Snowflake ETL Setup: 2 Easy Steps

January 31st, 2022 By Vishal Agrawal in Data Warehousing, Snowflake

Snowflake is a fully managed SaaS (software as a service) that offers a single platform for data warehousing, data lakes, data engineering, data science, data application development, and secure sharing…

Creating Spring Kafka Consumer Applications Simplified 101

January 31st, 2022 By Shubhnoor Gill in Data Warehousing, Kafka

Application Development is critical in Software Development. Since the mid-1990s, Java has been a popular choice for many programmers for building software. As a result, several frameworks have been developed…

Google Cloud Spanner vs BigQuery: 9 Critical Key Differences

January 31st, 2022 By Pratik Dwivedi in BigQuery, Data Warehousing, Versus

This post aims to discuss the differences between the above two Google Cloud solutions that is, Google Cloud Spanner vs BigQuery. We will also discuss their similarities towards the end…

Building Snowflake Apps Made Easy 101

January 27th, 2022 By Manisha Jena in Data Warehousing, Snowflake

The world is becoming increasingly computerized. Soon, every part of our lives will be connected to the Internet, providing consumers with more conveniences such as instant access to information. While…

Kafka Metrics: Optimize the Performance of Kafka Applications

January 27th, 2022 By Preetipadma Khandavilli in Data Warehousing, Kafka

Apache Kafka is a well-known open-source Data Streaming Platform that enables high-throughput Data Pipelines.  As a critical component of the IT infrastructure, it is necessary to have a dedicated tool…

Working With the Kafka Console Consumer Platform For Efficient Processing

January 27th, 2022 By Ishwarya M in Data Warehousing, Kafka

Apache Kafka is an open-source streaming platform that handles and processes real-time messages that can be further used for developing event-based applications. Kafka servers can handle hundreds of billions of…

Building a Snowflake CI CD Pipeline: What You Need to Know?

January 27th, 2022 By Rakesh Tiwari in Data Warehousing, Snowflake

The acronyms CI and CD are frequently used in modern development practices and DevOps. Continuous integration (CI) refers to a fundamental DevOps best practice in which developers frequently merge code…

Google BigQuery Vs SQL Server: 8 Critical Differences

January 27th, 2022 By Vishal Agrawal in BigQuery, Data Warehousing, Versus

Do you want to find the best database software? Are you unsure whether Google BigQuery or Microsoft SQL Server is best for you? It is impossible to determine whether Google…

BigQuery Count Unique 101: COUNT DISTINCT Function Syntax & Usage Simplified

January 25th, 2022 By Hitesh Jethva in BigQuery, Data Warehousing

BigQuery is a Cloud Storage Platform developed by Google to store data, analyze, and create reports. There are many benefits of using Google Bigquery, such as providing Accelerated Insights, Scaling…