MarkLogic uses a flexible, multi-model approach that easily handles data from any source. Whether it’s data from an existing relational database, mainframe, Hadoop, file systems, or any other source. MarkLogic has you covered. The most secure NoSQL database.
MarkLogic indexes all data on load including JSON, XML, text, and more so you can ask questions in real-time and get lightning fast results. And, there’s no need to bolt on a search engine because MarkLogic’s database includes built-in search.
It is 100% ACID compliant, offers enterprise-grade security (Common Criteria Certified), is horizontally scalable, and provides automatic failover, replication, and backup/recovery.
MarkLogic’s modern database technology makes it the database platform of choice for global leaders looking to integrate data from silos, run mission-critical data applications, and accelerate IT agility. From executive management to developers and engineers, MarkLogic brings together expertise and a genuine for helping customers solve their most complex data challenges.
Anyone who is working on Maintenance project where the underlying ETL tool is Ab Initio. Anyone who wanted to better their ETL skill sets by learning the happening tool in the Market. Knowledge in the database and/or data warehouse.
Knowledge about different components and its purpose. Build a graph adhering the business requirement. How to blend different tools for different requirement. Complete understanding of Data Warehousing and ETL terminologies.
You will be hired as data analyst, ETL developer in the companies like wells Teradata Corporation, MAIA Intelligence, Ananta cyber tech and more.
MarkLogic Fundamentals, Installing MarkLogic, Creating a Database, Communicating with MarkLogic, Setting up an Application, Introducing Search, Adding Indexes, Loading and Indexing Data, Harmonizing Data, Using Triples for Harmonization and more.
Creating a Database
Communicating with MarkLogic
Setting up an Application
Using More Technologies
Administering MarkLogic Server
Loading and Indexing Data
Using Triples for Harmonization
Using Templates for Data Extraction
Making SQL Queries
Making Optic API Queries
Modeling through Entity Services