Enterprises are taking the biggest hit with B2B networks bombarded by huge velocity, volume, and variety of data. This data is spurred in large part by high throughput technologies and processes. Studies indicate that at least 2.5 quintillion bytes of data is being produced every day by digital economies in structured, unstructured and heterogeneous formats. Dealing with such large amounts of data can be intricate as it causes costly downtimes that negatively impact the outcome. Adeptia self-service integration provides the toolkit i.e., micro-second latency, policy-driven data movement, to help companies to spin workloads and process data faster.
In this blog, we’ll look at some data issues that Adeptia self-service data integration handles.
Being Too Late in the Game: Most analytics aspiring enterprises realize that processing data can be far more cumbersome and expensive. They lack the multi-tenancy to access data and bring it to the right place at the right time. Lack of multi-tenancy overshadows Big Data initiatives as it becomes very difficult to map gargantuan data flooding from different sources. For instance, if a vendor has 10000 customers then 10000 instances need to be created for piping the data. Enterprises cannot anticipate data growth and scale naturally for dealing with the inflow of data. They get too late in pushing the data to the warehouse for Big Data initiatives.
Adeptia self-service integration provides large file data ingestion capabilities to streamline this process. It enables operational users to build integrations, bring disparate data in a warehouse, and prepare it for Big Data operations. Teams can access all data file systems and move data without lengthy code marathons and additional set up.
Overheating Issues Affecting the IT Performance: Enterprises face over sluggishness and productivity falls because of discrepancies in data models. These discrepancies or peculiar anomalies are caused by hybrid architectures that store and manage data differently. Data-intensive streaming of this data slows down the pace of systems and leaves them at the risk of breakdowns. Massive quantities of data pushes IT to the limit resulting in unsynchronized production cycles and costly fixes.
Adeptia solution packs any-to-any integration constructs for improving the performance of complex B2B networks. Its custom business rules help in applying transformation logic to create integrated datasets and visualize data in a proper format. Businesses can deal with diverse data types that create new silos and address specific processing needs.
Storage Crunch: Proliferation of data creates storage shortages in enterprises. Large sets of data outstrip an enterprises’ ability to further store newly generated data. Retrofitting of this data becomes tedious and expensive.
Adeptia’s self-service integration simplifies data governance and storage of petabytes of data. On its interface, large sources of data can be piped to dedicated warehouses for high-velocity data capture and analysis. In this way, enterprises can respond faster to their storage needs.
Talent Gap: More comprehensive issue involves finding data warehouse experts, analysts, and IT teams for orchestrating and integrating the data. The reason being scarcity of skilled IT resources to bundle and expose data and services. Core business is side-tracked till the time HR finds the right team to build integrations or data connections.
Adeptia self-service integration approach strategically cuts the mustard of the “Talent Gap.” It enables non-technical users to integrate data from multiple sources with the right context, consistency, and definition. They get the ability to transform piles of data without IT teams intervention, costly engineering, and time-consuming implementations.