Cloud ingestion time

Five things you should know about cloud ingestion time:

  1. The amount of time it takes for a cloud platform to ingest data from a data source depends on various factors.
  2. Enterprises want to reduce cloud ingestion time as much as possible to avoid disruptions to business processes.
  3. The method used for cloud ingestion can increase or reduce ingestion times. 
  4. If an enterprise rushes cloud ingestion, it can reduce the quality of its data. 
  5. Enterprises need to be wary of data governance when reducing cloud ingestion time. 

The term "cloud ingestion time" describes the time it takes for cloud platforms to ingest or absorb data (such as e-commerce data) from sources. Those sources are typically on-premises platforms deployed within an organization's IT infrastructure. How long it takes for cloud platforms to ingest data depends on factors such as latency, the format and type of data the platform ingests, and the data ingestion method used.

Cloud ingestion time is important because more enterprises are moving big data from computer systems to the cloud for data storage, better data management, improved workflows, or analytics purposes that might include machine learning or data visualizations. These enterprises might want to transfer data to, say, Amazon Web Services (AWS) or Microsoft Azure without interfering with day-to-day business processes. The longer cloud ingestion takes, the more destruction the process can cause for an enterprise. For example, a cloud platform that can't ingest data properly from an on-premise system, such as a legacy e-commerce platform, might mean customer support agents can't complete their jobs. That's especially true if agents can't access customer data on either system. 

Cloud ingestion involves moving large data loads from one location to another in the quickest possible period of time without damaging that data or negatively impacting data endpoints. Various data ingestion methods can achieve this, but they typically require complicated code like Java or SQL and data engineering experience. The data types and formats used for ingestion can also increase or reduce cloud ingestion time. Many enterprises struggle with metadata, nodes, permissions, data aggregation, scalability, authentication, automation, schemas, templates, data science, access controls, command lines, data streams, load balancing, key-value pairs, file systems, and other concepts associated with data integration. 

Integrate.io can improve cloud ingestion time by providing a high-performance no-code jargon-free environment for moving data to the cloud. Its scalable platform is changing the way enterprises integrate data by solving the challenges that have plagued these companies for years. Schedule a 14-day demo with Integrate.io now. 

Cloud Ingestion Time Considerations

Some of the most popular methods for cloud ingestion include ETL, which extracts data (such as e-commerce information) from its source, transforms that data to the appropriate format, and loads it to a cloud platform like a data warehouse or data lake. From here, enterprises can run cloud data through data analytics and metrics platforms and identify patterns and trends in algorithms. Cloud ingestion time will depend on the amount of data the enterprise wants to transfer to the cloud via ETL. (ETL can struggle with large data loads, increasing cloud ingestion time.)

Other methods include ELT, which extracts data, loads data to the cloud, and transforms it into a format so enterprises can use it for analytics. (ELT can prove beneficial for moving large data sets to a new destination.) Change Data Capture (CDC), on the other hand, can ingest data from a source to the cloud in near real-time, making it one of the integration fastest methods. Whatever ingestion method you use, choose a scalable no-code platform like Integrate.io that makes it easy to move data to cloud services. Learn more here.

Enterprises also need to be aware of the ethical and legal consequences of transferring data workloads to the cloud. Data governance frameworks like CCPAGDPR, and HIPAA (for the healthcare industry) stipulate procedures for data ingestion, and enterprises can face expensive penalties for not complying with these standards. Organizations need to consider other challenges when trying to reduce cloud ingestion time. If an enterprise rushes the ingestion process, it can affect the quality of its data. 

Integrate.io optimizes cloud ingestion times with ETL, CDC, data integration, and e-commerce capabilities. Now you can move data to the cloud of your choice with no coding or data engineering experience. It's a new approach to data integration. Schedule a 14-day demo now.

Glossary of Terms

A guide to the nomenclature of data integration technology.