Hanlding SSIS script task error: “Exception has been thrown by the target of an invocation”
SSIS Script Task error: Exception has been thrown by the target of an invocation
Data Developers
How to load mixed record type fixed width file with two headers into two separate files?
Stack Overflow
A step-by-step guide to split a mixed record type fixed width file having two headers into two separate flat files.
Announcing SchemaMapper a C# data integration class library
Tech Blog
SchemaMapper is a C# data integration class library that facilitates data import process from external sources having different schema definitions.
How to Map Input and Output Columns dynamically in SSIS?
Stack Overflow
Some ideas for to develop a dynamic approach fr mapping input and output columns automatically in SSIS data import operations.
How can I fix the number of groups in each page of SSRS
Stack Overflow
Dividing reports into multiple groups using SQL Server reporting services.
Date calculation with parameter in SSIS is not giving the correct result
Stack Overflow
Explaining the cause of the difference between data values generated in SQL Server and the SSIS OE DB Source SQL command.
Ad-Hoc networks QoS and Security overview
Tech Blog
Ad-hoc networks Quality of Service parameters
RaDEn: A Scalable and Efficient Radiation Data Engineering
BDCSIntell'2018
Detecting and monitoring radiation level is one of the critical duties for governments and researchers because of the high threats it oppose to humans. It was challenging in the past century to have a centralized radiation monitoring system until the rise of IoT (Internet of Things). Radiation level is measured...
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An Introduction to Data quality
Towards Data Science
There are many definitions of data quality, in general, data quality is the assessment of how much the data is usable and fits its serving context.
Big Data Integration
Towards Data Science
Data integration is a set of processes used to retrieve and combine data from disparate sources into meaningful and valuable information. A complete data integration solution delivers trusted data from a variety of sources. Traditional data integration techniques was mainly based on ETL (extract, transform and Load) process to ingest...
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