Data is an important factor in any business sector nowadays. Data plays a crucial role in the decision-making process of businesses to drive growth. We live in an age where data science is revolutionizing various industries—one of the main industries getting affected due to the application of data science in the retail sector. Many e-commerce and retail companies
What is Data Mesh? A data mesh is a new approach that evolves beyond traditional methods of data accessibility. It is a way of thinking about the data based on the decentralized architecture. It improves the organizational ability to empower data producers and consumers with accessibility and management without expert team intervention. It mainly focuses on distribut
Data Conversion ProcessThe digital era is not a future forecast. We are already in the middle of the digital age, where data is crucial. Data management has become an important part of business processes. Businesses use different business tools and systems to use gathered data for analysis.The collected data don't need to be ready for use. Very firstly, data engineers
dbt (Data Build Tool) DBT (Data Build Tool) - an open-source tool for orchestrating data transformations in your data warehouse. It allows you to define and manage your data transformation workflows, making building and maintaining reliable data pipelines easier. Let us learn the general steps of data transformation with dbt. Data Transformation wi
How to build a data pipeline? Building a data pipeline involves extracting, transforming, & loading (ETL) data from various sources into a target destination. Let us learn how to build a data pipeline? Here's a general framework for building a data pipeline:Define Objectives:Clearly define the objectives and requirements of your data pipeline. Identify
On-premise systems have many advantages but also have a huge share of challenges—for example, system maintenance, licensing, and software upgrades.Most businesses are moving to cloud-based platforms to eliminate their challenges in on-premice systems. There are also challenges in moving to cloud technology.Snowflake is one of the top-most preferred cloud data wareho
Snowflake has recently released the Snowflake Python Worksheets which is in public preview at present. This will make it much easier than ever to integrate Snowpark Python directly into your Snowflake environment. In this article, we will cover on how to set up your Python worksheets, write Python code, run it efficiently, and deploy it as a stored procedure within
Enterprise Data Lake Engineering ServicesEnterprise data lake engineering services refer to specialized services offered to organizations to design, build, and maintain data lakes. A data lake is a centralized repository that stores structured, semi-structured, and unstructured data in its raw format.It is a scalable and cost-effective solution for storing vast amount
What is Data Engineering? Data engineering is a field of study and practice that focuses on designing, developing, and managing data pipelines and infrastructure. It involves collecting, ingestion, transforming, and storing data in a manner that enables efficient and effective analysis and processing. Data engineers work with various tools and technologies, and progra
Cloud-Based Data Engineering. Cloud-based data engineering involves designing, implementing, and managing data processing workflows and systems using cloud services. It involves leveraging cloud computing platforms' scalability, flexibility, and cost-effectiveness to store, process, and analyze large volumes of data. Cloud-based data engineering enables organizations
