Training Services

Our trainings and certifications are designed to enhance your database, big data, Data warehouse (DWH), Business Intelligence, Fintech knowledge and empower you to lead your competitors in IT marketplace. We are providing training services to individuals and corporate clients in the below major technology stacks including:..

Technology Stacks

Oracle Database Administration (11g, 12c, 19c)

  • Oracle Database Administration
  • How to install Oracle Database Software on the server without GUI
  • How to access Oracle Database via sqlplus, sqlcl and SQL Developer
  • Performance & Tuning
  • Transparent Data Encryption (TDE)
  • Creating and Managing Tablespaces
  • Managing UNDO Data
  • Database Upgrade from 11g to 19c with minimal downtime

Oracle Database Performance & Tuning (Masterclass)

  • Learn How to Solve Critical Performance Problems with Step by Step Approach!
  • Learn Advanced Indexing Techniques for Ultimate Database Performance!
  • Learn Oracle Database Architecture by "Tuning" aspects
  • Learn How to Create "Better" Queries
  • Various Tips and Tricks to make the Oracle SQL queries run faster.
  • Oracle Performance Tuning on both Oracle11g, 12c, 19c Environment.
  • Learn Efficient Schema Design

Oracle Database RAC Administration (11g, 12c, 19c)

  • Understand Oracle RAC database architecture
  • Perform administration tasks on Oracle RAC
  • Manage backup and recovery in Oracle RAC
  • Monitor and tuning Oracle RAC databases
  • Understand and test Application Continuity
  • Apply Patch sets on Oracle RAC
  • Create and manage an Oracle RAC CDB database
  • Manage database server pools in Clusterware
  • Understand Oracle Flex Clusters

Data Warehousing for Business Intelligence Specialization

  • Pentaho
  • Data Visualization (DataViz)
  • Data Warehouse
  • SQL
  • Database (DB) Design
  • Entity–Relationship (E-R) Model
  • Database (DBMS)
  • Data Warehousing
  • Materialized View
  • Business Intelligence

Data Science

  • The course provides the entire toolbox you need to become a data scientist
  • Learn how to pre-process data
  • Impress interviewers by showing an understanding of the data science field
  • Start coding in Python and learn how to use it for statistical analysis
  • Carry out cluster and factor analysis
  • Apply your skills to real-life business cases
  • Unfold the power of deep neural networks

BI Foundations with SQL, ETL and Data Warehousing Specialization

  • Write SQL queries to work with relational databases including CREATE TABLE, SELECT, INSERT, UPDATE, DELETE, ORDER, JOIN, Functions, etc.
  • Execute commonly used Linux commands; Automate Extract, Transform and Load (ETL) jobs and data pipelines using BASH scripts, Apache Airflow & Kafka
  • Design Data Warehouses using star and snowflake schemas, loading and verify data in staging areas, build cubes, rollups and materialized views/tables
  • Analyze data in warehouses using interactive reports and dashboards using BI tools such as Cognos Analytics

Big Data Specialization

  • Big Data
  • Neo4j
  • Mongodb
  • Apache Spark
  • Apache Hadoop
  • Mapreduce
  • Cloudera
  • Data Model
  • Data Management
  • Data Modeling
  • Machine Learning Concepts

Fintech Frontiers – Introduction to Fintech

  • Understanding the basics concepts of Financial Technology (Fintech)
  • Understanding the new emerging trends in the Fintech space
  • Identifying the key stakeholders in Fintech and their respective roles
  • Understanding case studies on business models, regulatory approaches and key strategies
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