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MarkLogic Data Integration Training in Hyderabad

MarkLogic Data Integration

Use your development skills to integrate data from silos to create an operational data hub!

Prerequisites:
  • MarkLogic Fundamentals 
  • Developing MarkLogic Applications I – Node.js, Java or XQuery 
Duration : 40 Hours

Course Content:

MarkLogic Fundamentals

Learning What MarkLogic Is
  • Describe what an enterprise NoSQL database is 
  • Describe the difference between MarkLogic and Hadoop 
  • Demonstrate how customers are using MarkLogic 
  • Get started with how MarkLogic works 
Installing MarkLogic
  • Describe the system requirements 
  • Access the installer 
  • Install MarkLogic 
  • Start MarkLogic 
  • Initialize MarkLogic 
Creating a Database
  • Describe the relationship between a forest and a database 
  • Create a forest 
  • Create a database 
  • Attach a forest to a database 
Communicating with MarkLogic
  • Describe the ways for communicating with MarkLogic 
  • Use Query Console 
  • Create a REST API instance 
Inserting Data into a Database
  • Describe the supported document formats 
  • Define URIs 
  • Describe the ways to insert documents 
  • Insert documents using JavaScript and XQuery functions 
  • Insert documents using a REST API instance 
  • Use MarkLogic Content Pump to bulk load 
Setting up an Application

  • Describe MarkLogic application servers 
  • Create an HTTP Application Server 
  • Create a hello world XQuery application 
  • Create a hello world Java application 
  • Stand up a simple Node.js application 
Introducing Search
  • Describe search features 
  • Describe MarkLogic’s search APIs 
  • Write a simple search query 
Adding Indexes
  • Discuss indexes in MarkLogic 
  • Add an index 
Using More Technologies
  • Describe semantics 
  • Explain alerting 
  • Access MarkLogic and Hadoop learning resources 
  • Describe MarkLogic and BI applications


Administering MarkLogic Server :

1: Using MarkLogic for Data Integration
  • Explain what an operational data hub is 
  • Describe MarkLogic as a multi-model database 
  • Define a 360° view database 
2: Loading and Indexing Data
  • Know how data is stored and indexed 
  • Load data from XML and JSON files 
  • Split a multiple-record XML file 
  • Translate XML and JSON 
  • Load data from a .csv file 
  • Modify data while loading it 
3: Harmonizing Data
  • Explain data harmonization 
  • Describe the envelope pattern 
  • Create an envelope 
  • Add data to an envelope 
  • Query an envelope 
  • Run CoRB for batch processing 
  • Use the Data Movement SDK for batch processing 
  • Describe spell:double-metaphone() 
4: Using Triples for Harmonization
  • Describe how triples can be used 
  • Load triples 
  • Query triples 
  • Use triples to harmonize data 
5: Using Templates for Data Extraction
  • Explain Template-Driven Data Extraction 
  • Create a template and validate it 
  • Apply a template 
  • Define variables 
  • Generate a view 
  • Disable and delete a template 
  • Use TDE for data integration 
6: Making SQL Queries
  • Learn about SQL in MarkLogic 
  • Create a SQL query 
  • Do a join 
  • Configure a MarkLogic ODBC driver 
  • Execute SQL queries through a MarkLogic ODBC driver 
  • Write a SQL and document search query 
7: Making Optic API Queries
  • Describe the Optic API 
  • Write an Optic API query 
  • Perform a join 
  • Do an aggregate 
  • Create a master-detail result 
  • Use document query 
  • Query triples 
  • Join rows and triples 
8: Modeling through Entity Services
  • Explain Entity Services 
  • Create a model 
  • Define an entity 
  • Define a relationship 
  • Store a model 
  • Generate model-driven components 
  • Create instances 
  • Use instances 

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