Modern enterprises are dealing with unrelenting deluge of data and the big challenge is processing this data in a timely and efficient manner. Batch processing of large volumes of data is complex, error-prone and inefficient. This approach is inadequate for processing several GB’s of data in different storage formats, monolithic files, and images. Several browser limitations, server configuration issues, memory issues, and timeout issues prevent enterprises from getting data to the right place at the right time.
Gartner believes global data in structured and unstructured format will grow by 40 Zettabytes, and enterprises will be dealing with a 4400% increase in data. Alongside this rapid increase in storage, the average file size will grow by 40 GB.
Growth in data proliferation will become an exclusive concern for enterprises. Complex code intensive and manual methods to exchange data (like orders, point of sales data, employee data, marketing data, etc.) will lead to delays in data exchange between partners. Enterprises need to rethink their strategy to ingest, stream and transform data in a data lake or common database.
Available solutions don’t do much to handle this rising need. For instance, using appliances for processing huge volumes of data is a bad idea, as there are snags attached with them too. They are costly and difficult to maintain. Adeptia’s breakthrough solution, large file data ingestion and streaming capability solves this problem in few simple steps. Adeptia’s solution derives large volumes of data from external sources and seamlessly combines it with internal sources or data lakes in a comprehensive format.
Adeptia experts realized that large file data ingestion and streaming is not an option anymore, it is a mission-critical need for data-intensive operations involved in Finance, Insurance, Manufacturing, Supply Chain, etc. industries. The data ingestion feature enables users to process multi-GB files, ingest and transform large colossal amount of data, and deliver this data in a common format. This capability processes structured and unstructured files and delivers them in a normalized format or data warehouse.
Adeptia’s Large File Data Ingestion and Streaming solution has been battle tested for scenarios where enterprises need to exchange heavy volumes of differentiated data. The solution successfully processed:
25GB XML file with complex transformation rules in 33 minutes.
200GB XML with complex transformation rules in 4 hours.
50 different XML files of 25GB with complex transformation rules in 10 hours.
10 different text files of 5GB in less than an hour.
These tests were performed on an X-Large instance (m4.xlarge) on Amazon AWS that has 4 cores and 16GB RAM with 8GB allocated to the Adeptia application.
Adeptia solution helped a US Department of Health and Human Services backed medical research agency in collecting medical data from multiple sources (medical centers, health clinics, and medical insurance providers) in multiple formats.
One of the biggest Credit Union Association of North America leveraged Adeptia’s Large File Data Ingestion Solution to process multi-GB data in non-standardized formats arriving from multiple source applications and databases.
Adeptia is a super-optimum solution for large-file data ingestion, processing, and transformation. Here are some benefits of using the solution:
Zero Code approach (rather than relying on) allows non-technical business users to process large files easily without manually coding or relying on specialized IT staff.
Adeptia solution reduces manual effort and cost overheads, ultimately accelerating delivery time.
Eliminates requirement of expensive hardware, shadow IT databases and servers
Large file data ingestion and streaming is a key component of our solution. It enables batch processing and stream processing of multi-GB data in few simple steps. Smart enterprises are leveraging this capability to save time in data exchange, accelerate service delivery, and fast forward revenues.
To see how it works, request for a demo today.