A Hands-On Tutorial to Setup Kafka Python Client January 17th, 2022 By Ishwarya M in Data Warehousing, Kafka Imagine having the power to process billions of real-time data events effortlessly, right from your Python code! Whether you’re tracking live transactions, monitoring social media feeds, or building event-driven applications,…
Querying BigQuery Table Metadata: Made Easy 101 January 17th, 2022 By Jeremiah in BigQuery, Data Warehousing As a Data Engineer working with tables in BigQuery, you often need to have a high-level overview of their structure. This post discusses an easy approach to pull metadata from…
8 Best Redshift SQL Client Tools for 2024 January 17th, 2022 By Muhammad Faraz in Data Warehousing, Redshift Both ODBC and JDBC connections are supported by Amazon Redshift. To load data, Amazon Redshift supports a variety of Redshift SQL Clients, including ETL/ELT tools and business intelligence tools. Many…
How to Simulate Snowflake Triggers for Better Automation January 17th, 2022 By Yash Arora in Data Warehousing, Snowflake Snowflake, a cloud-based data storage and analytics service provider, is a warehouse-as-a-solution designed to cater to today's enterprises' needs and use cases. And one such use case — process automation…
How to Easily Create and Manage Snowflake Temporary Tables January 17th, 2022 By Davor DSouza in Data Warehousing, Snowflake The ever-increasing demand for Efficient Data Handling & Processing has reached a new peak. Owing to the limitations of On-premise Data Storage and Analytics tools, businesses are increasingly turning to…
How to Rename a Column in Google BigQuery: A Simple Guide January 13th, 2022 By Yash Arora in BigQuery, Data Warehousing Google BigQuery — a serverless, highly scalable, and cloud-agnostic data warehouse-as-a-service — is a blessing for today's businesses that deal in petabyte-scale information exchange environments. Backed by the processing power of Google's…
Kafka Partitions: 3 Easy Steps to Create and Use January 13th, 2022 By Ishwarya M in Data Warehousing, Kafka Apache Kafka is an event-streaming platform that handles daily massive amounts of real-time data. To manage this data efficiently, Kafka uses Topics to organize messages divided into Kafka Partitions across…
Understanding Snowflake Time Travel [+with Examples and Code] January 13th, 2022 By Harsh Varshney in Data Warehousing, Snowflake To empower your business decisions with data, you need Real-Time High-Quality data from all of your data sources in a central repository. Traditional On-Premise Data Warehouse solutions have limited Scalability…
Apache Pulsar vs Kafka: Which is Better? [5 Critical Differences] January 13th, 2022 By Srishty Bhardwaj in Data Warehousing, Kafka, Versus The continuous flow of data from diverse sources that may be stored, processed, and evaluated in real-time is known as Streaming Data or Stream Processing. Networking devices, applications, server log…
Apache Spark vs Redshift 101: Which is Best for Big Data? January 12th, 2022 By Manisha Jena in Data Warehousing, Redshift, Versus Apache Spark has especially been a popular choice among developers as it allows them to build applications in various languages such as Java, Scala, Python, and R. Whereas, Amazon Redshift…
What is a Kafka Topic and How to Create it? January 12th, 2022 By Ishwarya M in Data Warehousing, Kafka Apache Kafka is an Open-source Stream Processing and Management Platform that receives, stores, organizes, and distributes data across different end-users or applications. As users can push hundreds and thousands of…
Manage Kafka as a Service on the Cloud: A Comprehensive Guide 101 January 11th, 2022 By Shubhnoor Gill in Data Warehousing, Kafka As a Kafka Developer, you might have faced challenges deploying Kafka, particularly across the hybrid cloud. Due to this, many streaming data customers choose to employ a Kafka service, which offloads infrastructure…
6 Best Kafka Alternatives: 2024’s Must-know List January 11th, 2022 By Srishty Bhardwaj in Data Warehousing, Kafka It's no secret that Kafka was the first event-streaming platform that helped organizations effectively harness the power of real-time data. Over the years, it has become the go-to solution for…
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…
Snowflake Show Tables Command Simplified: A Comprehensive Guide 101 January 11th, 2022 By Rakesh Tiwari in Data Warehousing, Snowflake At times, you may need to get a list of tables from your database. This could be to help with Testing, to see what tables exist before you create a…
Running Apache Kafka without Zookeeper: Easy Steps 101 January 10th, 2022 By Ishwarya M in Data Warehousing, Kafka Apache Kafka has a vast environmental architecture that comprises producer, broker, consumer, and Zookeeper. In Kafka architecture, Zookeeper serves as a centralized controller for managing all the metadata information about…
Creating external schemas for Amazon Redshift January 10th, 2022 By Davor DSouza in Data Warehousing, Redshift One of the most common issues is Redshift create external schema. This can be complex, combining data from different sources and catalogs. However, after reading this article, you will be…
Working with BigQuery Stored Procedures & Scripts: Made Easy January 7th, 2022 By Arsalan Mohammed in BigQuery, Data Warehousing A Collection of SQL statements is known as a Bigquery script. all the statements can be executed in a single request. Scripts consist of Variables and Control-flow statements and have…
BigQuery Delete Table & Drop Table Commands January 7th, 2022 By Manisha Jena in BigQuery, Data Warehousing In this article, you will gain information about undergoing BigQuery Delete Table. You will also gain a holistic understanding of Google BigQuery, its key features, managing BigQuery Tables and the…
Redshift PIVOT & UNPIVOT: The Ultimate How-to Guide [Practical Examples] January 7th, 2022 By Yash Arora in Data Warehousing, Redshift Redshift PIVOT and UNPIVOT are two separate manifestations of the same relationship/relational operator. In order to achieve the desired dataset the two operators — Redshift PIVOT and UNPIVOT — convert…