An efficient approach to process a SSAS multidimensional OLAP cube
SQL Shack
While building and deploying an SSAS OLAP cube, there are two processing orders that you can choose from when you create a process operation: Parallel (All Objects will be processed in a single transaction): Used for batch processing, all tasks run in parallel inside one transaction. Sequential (Transaction mode): One...
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C# Script in SSIS Script Task to convert Excel Column in "Text" Format to "General"
Stack Overflow
C# - Extract objects from SQL Command
Data Developers
Do you really need to implement Big Data technologies in your ecosystem?
Towards Data Science
From many years, “Big Data” has become widespread and trendy. The Big Data technologies started to fill the gap between the traditional data technologies (RDBMS, File systems … ) and the high evolution of the data and business needs. While implementing these technologies is a must for many large-scale organization...
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Fast load error output doesn't redirect entire batch
Stack Overflow
Report dates not working correctly if date format is not mm/dd/yyyy
Stack Overflow
Retrieve multidimensional database objects directories
Stack Overflow
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
Announcing SchemaMapper a C# data integration class library
Tech Blog
How to Map Input and Output Columns dynamically in SSIS?
Stack Overflow
How can I fix the number of groups in each page of SSRS
Stack Overflow
Date calculation with parameter in SSIS is not giving the correct result
Stack Overflow
Ad-Hoc networks QoS and Security overview
Tech Blog
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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Pricing on the Cloud
Towards Data Science
Cloud Computing is a vital practice of the online provisioning of computing resources as services. Moreover, as defined in Oxford online dictionary, it is “The practice of using a network of remote servers hosted on the Internet to store, manage, and process data, rather than a local server or a...
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Getting Started With Apache Spark, Python and PySpark
Towards Data Science
How Information Technologies influenced Risk Management?
Towards Data Science
Risk management is a much-needed core competency that helps organizations deliver and increase stakeholder value over time. A good risk management requires better data and information, so organizations can take action on an ever-evolving inventory of risks. Risk management teams must facilitate and encourage the capture, analysis, and delivery of...
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