Incremental Data Load vs Full Load ETL: 6 Critical Differences April 14th, 2022 By Sanchit Agarwal in Data Strategy, Versus Efficiently transporting data from multiple sources to a target system, such as a data warehouse, has always been challenging for businesses. The load stage of the ETL (Extract, Transform &…
Running Lambda Express Apps: Going Serverless April 13th, 2022 By Raj Verma in Data Strategy Nowadays, most organizations and Software Developers are preferring Serverless applications for a number of reasons. Serverless applications are flexible and easy to develop due to the simplicity of their design.…
Understanding S3 Batch Operations: Step-by-Step Explanation April 12th, 2022 By Ishwarya M in Data Strategy Amazon S3 is one of the most prominent storage services of AWS, which enables you to store and retrieve enormous amounts of data to and from the S3 buckets. It…
AWS Lambda Cron Jobs: 3 Easy Steps April 12th, 2022 By Arsalan Mohammed in Data Strategy The automation of performing repetitive tasks is a very important aspect of many software companies. The transition of these companies from on-premise systems onto the cloud platforms has resulted in…
What is DataOps? Ultimate Guide on Definition, Principles, & Benefits 101 April 12th, 2022 By Sanchit Agarwal in Data Strategy Effectively handling the exponentially growing data is a huge challenge in front of every business today. To gain insights, business teams need data in real-time for making strategic decisions. In…
Working with Boto3 Lambda (AWS): 4 Easy Steps April 12th, 2022 By Davor DSouza in Data Strategy AWS Lambda is a serverless computing service that lets you run code without worrying about managing servers. It handles everything from server maintenance and capacity provisioning to automatic scaling, code…
Working with AWS CLI SQS: Simplified 101 April 12th, 2022 By Harshitha Balasankula in Data Strategy In modern cloud architecture, applications are broken into smaller, independent components that are easier to build, maintain, and deploy. Message queues play a key role in connecting these systems, ensuring…
Firestore Data Model: An Easy Guide April 12th, 2022 By Vishal Agrawal in Data Strategy Firestore is a NoSQL, document-oriented database modeling and relationship builder, which means no tables or rows exist, unlike SQL databases. So, you store data in documents that are later organized…
What is AWS SQS (Simple Queue Service)?: 5 Comprehensive Aspects April 11th, 2022 By Abhinav Chola in Data Strategy Modern developers create complex applications that require a communication setup for exchanging messages among their components. Moreover, even a slight change in the message sequence can render the application useless…
RabbitMQ Exchange Types: How messages are sent and received April 11th, 2022 By Syeda Famita Amber in Data Strategy RabbitMQ is a lightweight, open-source, and easy-to-deploy message broker that enables services and applications to communicate with each other. It supports multiple messaging protocols like AMQP (Advanced Message Queuing Protocol),…
Understanding Predictive Forecasting Simplified 101 April 11th, 2022 By Aditya Jadon in Data Strategy Anyone running a business wants to predict its future. Though it is not possible exactly to some extent, you can get an estimation because business comes with uncertainty and risks…
Working with Java REST APIs: 3 Comprehensive Aspects April 11th, 2022 By Abhinav Chola in Data Strategy, Rest API This article will introduce you to the Java Programming Language and REST APIs along with their key features. It will also explain the structure and working of REST API calls.…
AWS SQS SendMessage Command 101: Syntax, Easy Steps & Examples April 11th, 2022 By Osheen Jain in Data Strategy In modern cloud architecture, systems are built by breaking applications into smaller, independent components that are easier to develop, maintain, and deploy. Message queues play a crucial role in connecting…
Data Ingestion Google Cloud Simplified 101 April 11th, 2022 By Manisha Jena in Data Ingestion, Data Strategy Creating Cloud-based Data Ingestion pipelines that replicate data from multiple sources into your cloud data warehouse can be a huge project that demands a lot of manpower. Such a massive…
Methods to Document Data in Data Mining Simplified 101 April 8th, 2022 By Raj Verma in Data Strategy In this age of Information Economy, data is generated from every digital computing device, handheld phone, workstation, server, and so on. Organizations are storing, processing, and analyzing data more than…
Entity Data Model Designer: a Comprehensive Guide 101 April 8th, 2022 By Harshitha Balasankula in Data Strategy While there are many Data Modeling tools available, there is a free one in Visual Studio. It is called the Entity Data Model Designer. The Entity Framework Models can be…
Salesforce Batch Jobs 101: Configuring Salesforce Apex Jobs Simplified April 8th, 2022 By Roxana Raducanu in Data Strategy, Sales Operations Salesforce is one of the most popular customer relationship management tools that allow you to streamline Customer Interactions, Marketing Operations, and Overall Sales. According to a report, over 150,000 websites…
What are Azure Data Factory Triggers?[+Examples and Types] April 8th, 2022 By Ishwarya M in Data Strategy Azure Data Factory is one of the most popular Cloud-based Data Integration Services that allows you to create, manage, and schedule Data Pipelines or Workflows. It has a rich set…
What is Data Ingestion? A Complete Guide April 7th, 2022 By Amit Phaujdar in Data Ingestion, Data Strategy Organizations depend heavily on data for predicting trends, planning for future requirements, making business decisions, understanding consumers, and predicting the market. However, to execute these tasks, it is necessary to…
What is Data Validation? Overview, Types, and Examples April 7th, 2022 By Manisha Jena in Data Strategy Data integrity becomes increasingly more important as more B2B firms use data-driven techniques to enhance revenue and improve operational efficiencies. The inability to trust business data gathered from a variety…