How are Apache Iceberg Tables Optimizing Data Lake Management? July 25th, 2024 By Rahul Thakor in Data Engineering A data lake is a central storage place for an organization's data in its original format. Unlike data warehouses, data lakes can handle all kinds of data, including unstructured and…
Avro vs Parquet: Which File Format is Right for You? July 24th, 2024 By Dipal Prajapati in Data Engineering While working with huge amounts of data, Data serialization plays an important role in the performance of the system. Data Serialization converts complex data structures, such as graphs, trees, etc.,…
Data Warehouse vs Data Lake vs Data Lakehouse – Key Comparisons July 23rd, 2024 By Gabriela Aleksandrova in Data Engineering With the vast amount of data being collected today for various purposes, there is an increasing need to find the proper data storage, which also heavily depends on your specific…
Apache Iceberg vs Delta Lake – Key Differences July 23rd, 2024 By Parvathy Ramakrishnan in Data Engineering Businesses are increasingly investing in data lakehouses due to their reduced costs, streamlined workloads, support for real-time data processing, and better decision-making. The global data lakehouse market is estimated to…
Using Emerging Technologies to Address Data Lake Challenges July 23rd, 2024 By Adedotun Adeboye in Data Engineering The term “Data Lake” was first introduced by James Dixon in 2010 as a form of storage to cope with evolving data needs due to advancements in IT and IoT.…
A Deep Dive into Data Lakehouses July 18th, 2024 By Ahmed Shaaban in Data Engineering The term “Data Lakehouse” is quite common nowadays. The new concept promises to address the failures of data warehouses and data lakes and help support the workloads of both business…
Top 10 Leading Data Lake Tools in 2025: Choose the Right One July 12th, 2024 By Talha in Data Engineering Are you looking for a data lake tool that is scalable, cost-efficient, and accessible, can store your business’s historical data, and can help you perform intelligent analytics? No worries. To…
How to Adapt Apache Iceberg for High-scale Streaming Data July 4th, 2024 By Srujana Maddula in Data Engineering, Data Streaming Real-time data requires processing and analytics tasks to be performed within seconds. Organizations often struggle to store and process this data quickly enough. High throughput, large volumes, different data formats,…
How RAG Architecture Can Enhance Your Application’s Data Retrieval July 4th, 2024 By Raju Mandal in Data Engineering Retrieval-augmented generation (RAG Architecture) enhances response generation of a Large Language Model (LLM) by incorporating external information retrieval. It searches a database for information beyond the model's pre-trained knowledge base,…
Databricks SQL: Everything to Know July 3rd, 2024 By Sarthak Bhardwaj in Data Engineering Databricks SQL is an efficient platform for querying and analyzing large datasets. Its SQL editor, interactive dashboards, and robust BI tool integration features can help you streamline data exploration and…
Oracle Real Time Replication: Simple Steps to Set Up June 26th, 2024 By Talha in Data Engineering Are you looking for a simple method to set up real-time replication for data in your Oracle database? If yes, you are in the right place. Real time replication is…
Manage Date/Time Values Using EXTRACT From Oracle Function June 26th, 2024 By Dimple M K in Data Engineering Effective data management requires accurate data capture, storage, processing, and analysis. Date and time values are critical in organizing and filtering data, providing a foundation for efficient data processing. Oracle’s…
Understanding Oracle GoldenGate: A Comprehensive 101 Guide June 26th, 2024 By Skand Agrawal in Data Automation, Data Engineering As your business grows, so does the complexity of your data ecosystem. In today's data-driven world, managing and integrating this massive volume of data is critical yet challenging. You need…
What is Data Streaming? A Comprehensive Guide 101 June 7th, 2024 By Pratik Dwivedi in Data Engineering, Data Streaming Real-time data is the need of the hour for businesses to make timely decisions, especially in cases of fraud detection or customer behavior analysis. Relying on traditional batch processing is…
How to Setup Spark Real-time Streaming? 2 Easy Methods June 7th, 2024 By Ishwarya M in Data Engineering In today's data-driven world, a colossal amount of data is generated from sensors, IoT devices, social networks, online transactions, and more. In order to harness the power of continuously generated…
6 Must-know Advantages of Data Replication June 7th, 2024 By Preetipadma Khandavilli in Data Engineering An automated data replication process is particularly essential for data-driven organizations as they produce a colossal amount of digital information daily. However, the advantages of data replication are not limited…
Data Pipeline Architecture: A Comprehensive Guide 101 June 7th, 2024 By Sharon Rithika in Data Engineering, Data Pipeline Data pipelines play a vital role in modern data management. They connect various data sources within an organization to those who need them. The ability to move data quickly and…
Data Pipeline Lambda: A Comprehensive Guide 101 June 7th, 2024 By Skand Agrawal in Data Engineering, Data Pipeline Organizations today process and transform a large amount of data with ETL (extract, load, and transform) pipelines. But, loading and transforming this big data is time-consuming. However, sometimes, you do…
Role of Data Analytics in Engineering: 4 Critical Use Cases May 31st, 2024 By Jayesh Asrani in Data Engineering Data plays an important role in most of the decision-making processes be it related to business or even Engineering processes. It was difficult in the past to set up and…
What is Data Processing?: A Comprehensive Guide 101 May 17th, 2024 By Dimple M K in Data Engineering As the world is becoming more data-driven day by day, the need to gain valuable insights from data is also growing. Nowadays, Data Analytics has grown in popular demand in…
What is the Difference between AWS Data Pipeline vs AWS Glue: Choose the Best ETL Tool for AWSRead post