Data Strategy

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…

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

Key Takeaways Data validation ensures the accuracy, completeness, and quality of information before processing or storage within systems and databases. For implementing effective data validation, you should establish validation rules,…

How to Create and Structure Data Science Workflow

April 6th, 2022 By Samuel Salimon in Data Strategy

In this article,You will also gain a holistic understanding of how to structure a Data Science Workflow and what should be kept in mind while following the different steps in…

Descriptive and Predictive Data Mining Comparison: 6 Critical Differences

April 6th, 2022 By Harshitha Balasankula in Data Strategy

The main goal of Data Mining is to find valid, potentially useful, and easily understandable correlations and patterns in existing data. Data Mining can achieve this goal by modeling it…

10 Reasons How Duplicate Data Harms Your Business And How to Prevent it

April 5th, 2022 By Nicholas Samuel in Data Strategy

Key Takeaways Duplicate data often enters your system through manual errors, multiple sources, and a lack of proper validation. Ignoring duplication can waste resources, confuse customers, and lead to inaccurate…

What is Data Normalization? | 4 Key Types, Concepts, Benefits & Limitations

April 5th, 2022 By Harsh Varshney in Data Strategy

It isn't a secret that the world has now entered the Big Data age. Almost every organization, especially huge corporations, collects, saves, and analyses data in order to expand. Data…

Understanding Data Modeling Concepts in Software Engineering: Simplified 101

April 5th, 2022 By Harshitha Balasankula in Data Strategy

The process of analyzing data objects and their relationships with other objects is known as Data Modeling. It's used to look into the data requirements for various business processes. The…

How to Work with REACT REST API with Ease?

April 5th, 2022 By Amit Kulkarni in Data Strategy, Rest API

Today, organizations build software to conduct several business operations. However, to further enhance the workflows across departments, companies build applications on top of existing applications. To build a new applications’…

Understanding Simple Data Models: A Comprehensive Guide

April 4th, 2022 By Raj Verma in Data Strategy

Let's say you’re building a new home. Now, the first thing you do is hire a Carpenter, a Plumber, and an Electrician to help you construct your house. Everyone gets…

Party Data Models: A Comprehensive Guide 101

April 4th, 2022 By Davor DSouza in Data Strategy

Data Models are the key artifacts by which an organization represents and understands its data to itself. To properly comprehend the programs that capture, store, manage, alter, transform, remove, and…

Top 14 Free Data Enrichment Tools in 2026

April 4th, 2022 By Sanchit Agarwal in Data Strategy

Key Takeaway Keeping your data accurate and up-to-date is critical for boosting sales, improving customer experience, and making smarter business decisions. Data enrichment tools help merge external data with your…

Working with Amazon S3 Keys: 3 Critical Aspects

April 4th, 2022 By Samuel Salimon in Data Strategy

Storage made for the internet; Amazon Simple Storage Service (Amazon S3) is designed to ensure easier web-scale computing. Amazon S3 has an intuitive interface that can be used to store…

Salesforce Product and Price Data Models: A Comprehensive Guide 101

April 1st, 2022 By Harshitha Balasankula in Data Strategy, Sales Operations

Salesforce, the World’s No. 1 CRM Solution, has seen impressive growth for years, attributable to its remarkable offering of Salesforce Products such as Salesforce Sales Cloud, Service Cloud, Marketing Cloud,…

What is Data Masking? 5 Key Types and Techniques

April 1st, 2022 By Harsh Varshney in Data Strategy

Data Masking is a technique for creating a fictitious but realistic representation of your company's data. When genuine data such as in User Training, Sales Demos, or Software Testing isn't…

Apache Atlas vs Google Data Catalog Simplified 101: Key Differences

March 28th, 2022 By Ofem Eteng in Data Strategy, Versus

In the world today, everyone is producing more data than ever before and with this daily production comes a lot of challenges that give rise to rules and regulations thereby…