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Data Ingestion

“Data ingestion is the process of obtaining and importing data for immediate use or storage in a database. To ingest something is to “take something in or absorb something.”

Data can be streamed in real time or ingested in batches. When data is ingested in real-time, each data item is imported as it is emitted by the source. When data is ingested in batches, data items are imported in discrete chunks at periodic intervals of time. An effective data ingestion process begins by prioritizing data sources, validating individual files, and routing data items to the correct destination.

When numerous big data sources exist in diverse formats (the sources may often number in the hundreds and the formats in the dozens), it can be challenging for businesses to ingest data at a reasonable speed and process it efficiently in order to maintain a competitive advantage. To that end, vendors offer software programs that are tailored to specific computing environments or software applications. When data ingestion is automated, the software used to carry out the process may also include data preparation features to structure and organize data so it can be analyzed on the fly or at a later time by business intelligence (BI) and business analytics (BA) programs.

Storage Systems

When selecting what data storage systems we represent, we started with one question: Read more…

SUSE

The modern and modular OS helps simplify multimodal IT, makes traditional IT infrastructure efficient and provides an engaging platform for developers. Read more…

Asperta

IBM’s Aspera software solutions provide next-generation technology, unique to itself allowing organizations to move high volumes of data at maximum speed across multiple platforms. Read more…

Weka.IO

WekaIO delivers all the bandwidth you need, so your applications never have to wait for data. Read more…