Intelligently Extract Text & Data from Document with OCR NER

Course content

  • Introduction
  • Project Setup
  • Data Preparation
  • Data Preprocessing and Cleaning
  • Train Named Entity Recognition (NER) model
  • Predictions
  • Improve Model Performance
  • Document Scanner
  • Document Scanner Web App
  • Appendix
  • BONUS

Dashbuilder for Engineers Training Course

Dashbuilder is an open-source web application for visually creating business dashboards and reports.

In this instructor-led, live training, participants will learn set up, configure, integrate and deploy Dashbuilder.

By the end of this training, participants will be able to:

  • Extract data from heterogeneous sources such as JDBC databases and text files
  • Use connectors to connect to third-party systems and platforms such as jBPM    
  • Configure roles, permissions and access controls for users
  • Deploy Dashbuilder to a live production environment

Audience

  • Developers
  • IT and system architects

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice

Course Outline

To request a customized course outline for this training, please contact us.

Oracle SQL Intermediate – Data Extraction Training Course

Duration

14 hours (usually 2 days including breaks)

Requirements

Recommended attendance on the “Oracle SQL for Beginners” training course

Overview

The objective of the course is to enable participants to gain a mastery of how to work with the SQL language in Oracle database for data extraction at intermediate level.

Course Outline

Limiting results

  • The WHERE clause
  • Comparison operators
  • LIKE Condition
  • Prerequisite BETWEEN … AND
  • IS NULL condition
  • Condition IN
  • Boolean operators AND, OR and NOT
  • Many of the conditions in the WHERE clause
  • The order of the operators.
  • DISTINCT clause

SQL functions

  • The differences between the functions of one and multilines
  • Features text, numeric, date,
  • Explicit and implicit conversion
  • Conversion functions
  • Nesting functions
  • Viewing the performance of the functions – dual table
  • Getting the current date function SYSDATE
  • Handling of NULL values

Aggregating data using the grouping function

  • Grouping functions
  • How grouping functions treat NULL values
  • Create groups of data – the GROUP BY clause
  • Grouping multiple columns
  • Limiting the function result grouping – the HAVING clause

Subqueries

  • Place subqueries in the SELECT command
  • Subqueries single and multi-lineage
  • Operators Subqueries single-line
  • Features grouping in subquery
  • Operators Subqueries multi-IN, ALL, ANY
  • How NULL values ​​are treated in subqueries

Operators collective

  • UNION operator
  • UNION ALL operator
  • INTERSECT operator
  • MINUS operator

Further Usage Of Joins

  • Revisit Joins
  • Combining Inner and Outer Joins
  • Partitioned Outer Joins
  • Hierarchical Queries

Further Usage Of Sub-Queries

  • Revisit sub-queries
  • Use of sub-queries as virtual tables/inline views and columns
  • Use of the WITH construction
  • Combining sub-queries and joins

Analytics functions

  • OVER clause
  • Partition Clause
  • Windowing Clause
  • Rank, Lead, Lag, First, Last functions

Retrieving data from multiple tables (if time at end)

  • Types of connectors
  • The use NATURAL JOIN
  • Aliases tables
  • Joins in the WHERE clause
  • INNER JOIN
  • External Merge LEFT, RIGHT, FULL OUTER JOIN
  • Cartesian product

Aggregate Functions (if time at end)

  • Revisit Group By function and Having clause
  • Group and Rollup
  • Group and Cube