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MarkLogic Data Integration Training in Hyderabad

MarkLogic Data Integration Training in Hyderabad

MarkLogic Data Integration

Use your development skills to integrate data from silos to create an operational data hub!
MarkLogic Data Integration training hyderabad



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