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Backend Developer

PiLog iTransform - Extract Transform Load (ETL)

PiLog iTransform - Extract Transform Load (ETL)

ETL is the process of extracting the data from various sources, transforming this data to meet your requirement and then loading into a target data warehouse.

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PiLog iTransform - ETL Capabilities

Data Warehouse
SAP ERP or CRP
ILM
MDM

Migration projects are relevant for all types companies, including those with generic applications, upgrading, any company who needs to migrate data from one application to another.

PiLog iTransform - ETL Capabilities

Why ETL Process

Successful ETL Implementation

Connect

Extract

Assess

Transform

Validate

Load

Reconcile

Consume

Automate

ETL

Benefits

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  • Cloud Based Platform

  • Easily Accessible for Business Users

  • Configure Once, Re-Use Several Times

Benefits Female
  • Term & Users Based Licensing

  • Best for Setting up CXO Dashboards

  • Pre-built Connectors, Transformations

Benefits Team

PiLog - iTransform ETL Features

Upload able File Format

  • CSV, XLS. XLSX, XML, TEXT

Database Connections

  • Oracle, MYSQL, MSSQL, MS Access, SQLite, PostgreSQL

ERP Connectivity

  • SAP, Oracle

Design View

  • Refresh, Save, Delete, Execute, View Last Job log

Execution

Scheduled Jobs

Running Jobs

Stoped Jobs

SQL Editor

  • SQL statement and script execution

Content View

  • Views

  • Synonyms

  • Tables

  • Export to popular formats including: XLSX,CSV,XML

Tasks or Jobs

  • Column Mappings

  • Joins

  • Where Clause

  • Order By

  • Group by

  • View Query

  • Advance Settings

    • Unique Rows

    • Fetch Rows Range

    • Action on Table

Performance

  • Load Data Incrementally

  • Partition Large Tables

  • Process in Parallel

Management

  • Configuring the packages to run at certain times

  • Creating users and giving them the right permissions to run jobs

  • setting alerts of the job fails and email addresses for notifications

PiLog – iTransform Planned Features

Advance data Filtering

  • Denoise

  • Cleansing

  • Summarization

Trigger connection

  • On subjob ok

  • On Subjob Error

Advanced log Events

  • Data Reconciliation

  • Timeline

  • Log History

  • Log Analysis

  • Warning

Work Bench process

  • Assess

  • Validate

  • Consume

  • Automate

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