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MarkLogic Navigates Unstructured Data and Structured DataBog'liq 4 PROFESSIONAL ENGLISHMarkLogic Navigates Unstructured Data and Structured Data
MarkLogic develops and provides services for its alternative database to the big relational ones that
Oracle, IBM, SAP, Microsoft SQL, Software AG, Teradata and others built years ago and that
require a lot of supervision and maintenance. Most are decades-old databases that rely on often
slow-moving, time-consuming ETL (extract, transform and load) tools to integrate data from silos.
MarkLogic navigates data lakes of unstructured data but also handles structured data. It is aimed at
improving performance in three main focus areas: data integration from silos, data manageability
and security. It sounds simple, but all of these things are hard to do well.
Enterprises today are increasingly being overwhelmed by data. As a result, they are gravitating
toward solutions that are simple to use and provide more agility with less operational overhead.
MarkLogic Data Hub Service provides DevOps teams with agility in order to rapidly integrate data,
but with none of the operational overhead, meaning they can focus on “Dev,” not “Ops.” This is
where the business value lies.
Data Lakes Done Right
When they started showing up in data centers several years ago, data lakes promised to help with
the data deluge faced by all organizations; however, that promise has largely gone unsatisfied.
Industry analysts have discussed the many causes of this, including a lack of governance, semantic
inconsistency, and inflexibility. MarkLogic Data Hub Service is built from scratch to address those
challenges.
While workloads may vary from minute to minute, budgets do not. Enterprises need a predictable
cost model that can adjust to varying demand. MarkLogic’s architecture allows resources to be
added and removed from the underlying database in seconds, something that hasn’t been possible
until now.
The Data Hub Service uses the same technology that was first delivered in MarkLogic Query
Service to allow bursting to meet peak loads while providing a completely predictable cost aligned
with baseline usage unlike an expensive, over-provisioned solution, or a costly and unpredictable
on-demand approach.
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