Working With AWS Lambda Java Functions: 6 Easy Steps May 17th, 2024 By Skand Agrawal in AWS, Data Strategy Companies regularly need to update their applications for smooth functioning and implementation of new features. Developers continuously work on making the applications fast, smooth and secure. Modern applications use serverless…
MariaDB Foreign Key: A Comprehensive Guide 101 May 17th, 2024 By Harsh Varshney in Data Strategy The MariaDB Foreign Key constraint is used to connect two tables. A Foreign Key is made up of one or more columns in one table that refer to the PRIMARY…
Enterprise Data Repository: Types, Benefits, & Best Practices May 10th, 2024 By Manisha Sharma in Data Strategy Organizations accumulate vast volumes of information from various sources. This data includes customer transactions, financial records, social media interactions, sensor readings, and more. Effective management and utilization of data are…
Hadoop S3 Comparison: 7 Critical Differences May 10th, 2024 By Aakash Raman in Data Strategy, Versus Database Storage has become an integral part of Databases, Data Warehouses, and BI(Business Intelligence) software. Depending on different applications, storing data in different file formats can optimize the ETL (Extract,…
AWS Aurora vs Snowflake: 5 Critical Differences May 10th, 2024 By Manisha Jena in AWS, Data Strategy, Versus Nowadays, with ever-increasing data, storage and analysis of large volumes of data have become basic foundations of any organization. While focusing on storage and analysis, which two concepts come to…
Oracle Vs Teradata: 6 Critical Differences May 10th, 2024 By Muskan Kesharwani in Data Strategy, Versus In Today's data-driven modern world, competition between companies is prevalent when they offer similar products. In a competitive market, providing the best services and products and having the majority of…
A Guide to Effective Data Cleaning Tools in Python May 3rd, 2024 By Riya Bothra in Data Strategy The quality of your data analysis and the insights derived directly depends on the quality of the data you feed. This is why data cleaning is crucial in ensuring your…
Data Quality Management Techniques and Best Practices May 3rd, 2024 By Riya Bothra in Data Strategy Many organizations today heavily rely on data to make business-related decisions. Data is an invaluable asset that helps you substantiate your convictions with evidence and facilitates stakeholder buy-in. However, ensuring…
Data Quality Monitoring: A Guide to Ensure Data Integrity May 3rd, 2024 By Riya Bothra in Data Strategy Most organizations today practice a data-driven culture, emphasizing the importance of evidence-based decisions. You can also utilize the data available about your organization to perform various analyses and make data-informed…
Enterprise Data Intelligence: Transforming Data into Valuable Insights May 3rd, 2024 By Radhika Sarraf in Data Strategy The true value of data doesn’t lie in the vast amounts of data you generate from different sources but rather in the insights and intelligence it provides. Data intelligence solves…
SOAP vs REST APIs: 5 Critical Differences May 3rd, 2024 By Amit Phaujdar in Data Strategy, Rest API, Versus SOAP (Simple Object Access Protocol) is known as a protocol that was designed to ensure that programs designed using different programming languages and on different platforms could exchange data in…
Data Mining and Data Analysis: 4 Key Differences May 3rd, 2024 By Amit Phaujdar in Data Strategy, Versus Organizations that make decisions based on big data now have a significant competitive edge in solving challenges and planning for the future. Data is at the center of decision-making across…
What are the 9 difference between batch processing and stream processing May 3rd, 2024 By Harshitha Balasankula in Data Strategy, Versus Data Processing is the collection, manipulation, and processing of collected data for the intended use. It is a computer-assisted technique that involves retrieving, transforming, or classifying data. Computerized Batch Processing…
Effective Methods to Maintain Data Consistency Between Microservices April 26th, 2024 By Suraj Kumar Joshi in Data Strategy Data consistency is one of the most important aspects when building and maintaining any application. While multiple architecture patterns are present to build applications, microservices prevail as one of the…
Enterprise Database Features: The Complete Guide 101 April 26th, 2024 By Saloni Agarwal in Data Strategy Imagine having to manage large amounts of data without a systematic way to organize, store, and manipulate it. Without a structured system in place, data becomes scattered and difficult to…
Enterprise Database Architecture: Everything to Know April 26th, 2024 By Radhika Sarraf in Data Strategy Efficient data management is a crucial part of an enterprise’s success. Data architecture helps streamline data management and workloads. It also enables you to establish a data governance framework that…
Best Data Ingestion Tools in Azure in 2024 April 26th, 2024 By Abhinav Chola in Data Ingestion, Data Strategy Managing vast data volumes is a necessity for organizations in the current data-driven economy. To accommodate lengthy processes on such data, companies turn toward Data Pipelines which tend to automate…
Leverage Third-Party Data with AWS Marketplace Data Exchange April 26th, 2024 By Riya Bothra in AWS, Data Strategy Data is the most fundamental factor that provides businesses a competitive edge in the market. It is a strategic asset that you can leverage to gain insights, identify upcoming profitable…
Enterprise Data Governance Model: Steps, Benefits & Challenges April 26th, 2024 By Shuchi Chitrakar in Data Strategy Data governance is a collection of steps an organization takes to ensure data is accurate, usable, and accessible. It improves data quality and analytics, which is crucial for any data-driven…
The Comprehensive Guide to Enterprise Data Bus April 26th, 2024 By Riya Bothra in Data Strategy Enterprises generate vast amounts of data from multiple sources, such as Customer Relationship Management platforms, Enterprise Resource Planning (ERP) applications, marketing metrics, and more. However, you need seamless data exchange…