Batch Processing vs Stream Processing: Key Differences Explained 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…
Understanding BigQuery Transaction: An Easy Guide 101 May 24th, 2024 By Talha in BigQuery, Data Warehousing Google BigQuery is a completely managed data warehouse service offered based on subscription payments by Google. Completely managed warehouse services like BigQuery separates the storage and compute costs allowing customers…
Data Quality Monitoring: Key Metrics, Techniques & Benefits 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…
MongoDB JDBC Connectivity: Simple Steps May 10th, 2024 By Satyam Agrawal in Data Integration, MongoDB Being a cross-platform document-first NoSQL database program, MongoDB operates on JSON-like documents. On the other hand, JDBC is a Java application programming interface (API) used while executing queries in association…
Understanding BigQuery Functions: 6 Comprehensive Aspects June 14th, 2024 By Nitin Birajdar in BigQuery, Data Warehousing Google BigQuery is an essential tool that every enterprise can employ to store data, analyze the data and query the database. It evolved from the term Big Data with a…
Discover the Power of GCP Marketplace: A How-To Guide for Data Practitioners April 5th, 2024 By Suraj Poddar in Data Strategy Data integration is an essential component of data engineering. It relates to the use of technological tools to acquire data from various sources and consolidate them for analysis and reporting.…
SOAP vs REST APIs: Key Differences Between API Technologies 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…
GCP Storage Buckets List: Efficient Data Organizing Strategy April 20th, 2024 By Saloni Agarwal in Data Strategy Google has always pioneered the development of large and scalable infrastructure to support its search engine and other products. Its vast network servers have enabled us to store and manage…
Top 9 Supermetrics Alternatives & Competitors [Ranked by Popularity] April 26th, 2024 By Sharon Rithika in Platform, Product The Supermetrics platform is an API to bring marketing data from a variety of sources into a single location for reporting and analysis. However, if you want to perform more…
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…
Apache Iceberg vs Parquet – Comparing Table and File Formats July 15th, 2024 By Srujana Maddula in Data Strategy Apache Iceberg and Parquet are popular storage formats in the big data industry. However, they are also often confused terms. So today, we’ll compare these two storage formats, their features,…
Redshift First_Value and Last_Value Functions Made Easy May 31st, 2024 By Dimple M K in Data Warehousing, Redshift With the huge volumes of data being generated by enterprises today, businesses are looking for modernized means of data storage. On-premise storage options are associated with many limitations including lack…
Data Integration Architecture: A Comprehensive Guide May 31st, 2024 By Sanchit Agarwal in Data Integration Daily operations within modern sales, marketing, customer service, product, and finance arms of organizations generate huge volumes of data. This data is siloed away in multiple databases & applications, creating…
Key Considerations for Enterprise Data Integration February 2nd, 2024 By Catherine Schwartz in Data Integration As businesses integrate and adapt to modern technologies and processes, data used increases and is kept in different platforms—whether you keep them on on-site physical servers, cloud servers, or hybrid…
Best Strategies to Create & Maintain A High Level Data Model: Simplified 101 April 26th, 2024 By Divyansh Sharma in Data Strategy Good quality data is the holy grail, and that's what you should always aim for. But that saying goes incomplete without data models. While all of us know the importance…
A Comprehensive Guide to Enterprise Data Architecture 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…
Types of Data Integration: A Comprehensive Guide June 20th, 2024 By Skand Agrawal in Data Integration In today's dynamic business landscape, mastering the art of data integration is not just a choice but a necessity. The wealth of valuable information resides in various sources, from corporate…
Enhancing Visibility: Leveraging Cloud Logging Services December 29th, 2023 By Suchitra Shenoy in Data Strategy With enterprises transitioning from on-premise infrastructure to cloud environments, there is an increasing need for visibility across distributed systems, performance management, security, and compliance. This requires careful operational monitoring. Monitoring…
DynamoDB to Databricks: Gain a Comprehensive Analysis of Your Data May 31st, 2024 By Skand Agrawal in Data Integration Easily move your data from DynamoDB To Databricks to enhance your analytics capabilities. With Hevo’s intuitive pipeline setup, data flows in real-time—check out our 1-minute demo below to see the…
Understanding BigQuery Information_Schema: Made Easy June 7th, 2024 By Arsalan Mohammed in BigQuery, Data Warehousing BigQuery is a cloud platform used by individuals and organizations for the storage of data. BigQuery organizes data into tables. The good thing with BigQuery is that it can scale…