Co-authored by Preetam Kumar
With the exponential growth of enterprise data, businesses today are facing a mammoth digital challenge. The traditional and legacy on-premises databases, data warehouses, and data lakes have failed to address the volume, variety, and velocity of data generated in the cloud. A recent study suggests that almost 73% of enterprises have failed to provide any business value from their digital transformation initiatives.
Many businesses move to cloud-based data warehouses and data lakes to modernize their data and analytics to address these challenges. However, one of the biggest roadblocks is ingesting data and hydrating their cloud data lake and data warehouses from various sources.
Organizations typically have large volumes of data in various siloed sources like files, databases, change data capture (CDC) sources, streaming, and applications. They need to quickly and efficiently move this data into a cloud data lake, cloud data warehouse, or messaging system before making it available for BI, advanced analytics, and AI or machine learning projects. They need to efficiently and accurately ingest large amounts of data from various sources in a unified approach using intelligent, automated tools to avoid manual approaches like hand-coding.
While data ingestion attempts to resolve the challenge of hydrating your data warehouse and lake from varied data sources, it is not without its own set of challenges. Here are seven data ingestion challenges:
Now that we know the various types of data ingestion challenges, let’s learn how to evaluate the best tools.
Data Ingestion is a key core capability for any modern data architecture. A proper data ingestion infrastructure should allow you to ingest any data at any speed using scalable streaming, file, database, and application ingestion with comprehensive and high-performance connectivity for batch or real-time data. Below are the five must-have attributes for any data ingestion tool that you need to future proof your organization:
With Informatica’s Comprehensive, cloud-native Mass Ingestion solution– you can get access to a variety of data sources by leveraging our more than 10,000 metadata-aware connectors. You can easily access the data to find it and ingest it to where you need it by leveraging Cloud Mass Ingestion Databases, Cloud Mass Ingestion Files, and Cloud Mass Ingestion Streaming. Combining that with database change data capture, application change data capture services, and so much more, you can trust you are getting the most up-to-date data for your business priorities. We offer the industry’s first and only unified platform for automated mass ingestion for files, databases, applications, and streaming with intelligent schema drift, automated structure derivation from unstructured data, and an easy 4-step ingestion wizard across multi-cloud, multi-hybrid environments. Our unified, wizard-based approach for ingesting data into cloud repositories and messaging hubs speeds database synchronization and real-time processing. And data ingestion is just one of the many data management features Informatica has to offer.
Let’s look at a few examples of how Informatica collaborated with leading organizations to help them navigate the complexities of the multi-cloud world:
Data ingestion is essential for intelligent data management, and it allows organizations to maintain a federated data warehouse and lake by ingesting data in real-time and as a result make data-driven decisions. Watch the following demo videos to learn how to ingest databases, files, and streaming data, register today to try the free 30 – day trial for the Cloud Mass Ingestion service and fast-track your ELT and ETL use cases with free Cloud Data Integration on AWS and Azure.