AWS DMS CDC Oracle: Configuration, Limitations, and Alternatives August 5th, 2024 By Chirag Agarwal in Change Data Capture CDC, Data Engineering, Data Streaming In today’s fast-paced data landscape, real-time data replication and synchronization are critical for maintaining operational efficiency and making timely decisions. AWS Database Migration Service (DMS) offers a comprehensive database migration…
AWS DMS Redshift: Migrate Data to Redshift using AWS DMS August 2nd, 2024 By Suraj Poddar in AWS, Data Engineering, Redshift In the modern data-centric world, efficient data transfer and management are essential to staying competitive. AWS offers robust tools to facilitate this, including the AWS Database Migration Service (DMS).Most businesses…
Data Lake vs Delta Lake: Which is Better for Your Data Strategy? July 31st, 2024 By Martina Šestak in Data Engineering The fast-growing pace of big data volumes produced by modern data-driven systems often drives the development of big data tools and environments that aim to support data professionals in efficiently…
Iceberg Architecture Examples: How Iceberg powers data and ML applications July 25th, 2024 By Radhika Gholap in Data Engineering In recent years, Apache Iceberg has seen considerable advancements that highlights its growing importance. Major tech companies like Google, Snowflake, and Databricks have increasingly embraced this table format. Google integrated…
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 2024: 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, Uncategorized 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…