by Balaswamy Kaladi
In today’s world of big data, analytics, and data warehousing, data volumes continue to grow, seemingly only matched by businesses’ appetite to exploit data for commercial advantage, and do so ever more quickly.
Historically, to deal with the kind of large data volumes that are now becoming commonplace, expensive and heavyweight technologies from vendors such as Teradata, Netezza and Vertica were needed. These typically cost millions of dollars, and required hardware, software, and consulting.
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Tags:
Data Warehousing,
Blog,
AWS,
Amazon Redshift
Thinking of moving to a cloud based data warehouse platform? Here’s what you need to evaluate and learn how to do it.
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Tags:
Data Warehousing,
Cloud,
Ron Cruz,
Blog
by Jeremiah Johnson
Data scientists are master communicators. They speak fluently with people in operations areas and those in information technology departments. They understand technical jargon, business lingo and are information experts. Unlike a jack-of-all-trades, who knows a lot but masters nothing, data scientists know plenty and often are experts in many fields. Most importantly, they find solutions for business problems.
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Tags:
Data Warehousing,
Database,
Data Scientist,
Big Data,
Data Discovery,
Business Intelligence,
ETL,
Jeremiah Johnson,
Data Integration,
Blog,
Datastax
Migrating Code from Development to Production in the Cloud
The cost of cloud migration is not cheap but the promise is that the company will acheive a significant return on investment over the long haul. The objective of this article is to help us understand how to setup Development and Production environments in the cloud, specifically regarding these components of a data warehouse (DW):
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Tags:
Data Warehousing,
Cloud Services,
SQL Server,
Database,
Ksheetij Dongre,
Oracle,
Informatica,
Cloud Master Data Management,
ETL,
Blog
I started working with Oracle Data Integrator (ODI) a year ago while participating in a Oracle Business Intelligence Applications 11.1.1.7 implementation. I have been working with Informatica as the extract-transform-load (ETL) tool of choice for a long time, which included Oracle Business Intelligence Applications and custom warehouse projects.
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Tags:
Data Warehousing,
ODI,
Prashanth Gajjala,
ELT,
Oracle,
Informatica,
ETL,
Data Integration,
Oracle Data Integrator (ODI),
Blog
Adoption of "The Cloud" is growing significantly as more a enterprises start to see and experiencing the value in agility, scalability, and cost savings.
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Tags:
Data Warehousing,
Cloud Services,
Potnuru Hatakesh,
Informatica,
Cloud Master Data Management,
ETL,
Data Integration,
Cloud Application Integration,
Blog
Exploring the different ways Tableau connects to data and whether dimensional modeling is necessary when using Tableau’s architecture.
Architecture
Tableau has two primary ways to connect to data sources and work with them as shown in this simplified architecture diagram shown below .
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Tags:
Data Warehousing,
Real-Time BI,
Cache,
Avinash Mohan,
Data Discovery,
Business Intelligence,
Tableau,
Data Integration,
Book,
Blog
by Parul Singh
The need for robust reporting and a structured enterprise data warehouse for educational institutions is becoming a necessity. This type of modern architecture empowers academic institutions with best-in-class reporting and analytic capabilities to increase faculty, staff and student productivity; streamline operations and institutional advancement; and ensure student success.
There are a few key star schemas that can aid universities and their stakeholders to make informed decisions and deliver a better student experience:
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Tags:
Student Information Analytics,
Campus Analytics,
Data Warehousing,
Higher Education BI,
Business Intelligence,
Education,
Banner
This article will help you understand the importance of the MD5 function in Informatica. It will also help you answer questions like:
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Tags:
Data Warehousing,
Informatica,
Tutorial,
ETL,
SK Purushotham,
Data Integration,
Blog
