by Rushendra Prasad
This blog post offers an insight into the features and functionalities of Google Data Studio and compares it with popular data analysis tools like Tableau, QlikView and new entrants like Power BI.
Disclaimer: This article and all features assessed are as on Sep, 2017 and subject to modifications / enhancements by Google.
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Tags:
OBIEE,
Rushendra Prasad,
Tableau,
Blog,
Power BI,
Google Data Studio
To read part 1 of this blog post, please click here.
This blog post discusses how to integrate Oracle BI server and make use of the existing Subject Areas built on RPD in Tableau desktop workbook as Data Source.
This is applicable for 8.2, 8.3, 9.0 and later versions.
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Tags:
OBIEE,
Rushendra Prasad,
Tableau,
Oracle BI,
Blog,
Oracle BI Server
This blog post discusses how to integrate Oracle BI server and make use of the existing Subject Areas built on RPD in Tableau desktop workbook as Data Source.
This is applicable for 8.2, 8.3, 9.0 and later versions.
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Tags:
OBIEE,
Rushendra Prasad,
Tableau,
Oracle BI,
Blog,
Oracle BI Server
by Balaswamy Kaladi
This blog describes how to configure Informatica’s SAP NetWeaver R/3 to connect with SAP BW, extracting data directly from SAP transparent tables. It details setup steps on Informatica and BW servers, as well as what’s required from a developer’s perspective.
It’s also important to note that there are two ways to connect SAP BW from Informatica, i.e.
- Using Informatica’s SAP BW Connector – this extraction is driven by an Infospoke and extracts data via the Open Hub Services (OHS)
- Using Informatica’s SAP NetWeaver R/3 Connector – this allows data extraction directly from a SAP transparent table
This blog details the second method i.e. using Informatica's SAP NetWeaver R/3 Connector.
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Informatica SAP Connector
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
by Santoshkumar Lakkanagaon
What are the different types of Cassandra distributions available?
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Tags:
Blog,
Cassandra,
Cassandra Installation,
Multi-Data Center,
Cassandra Configuration
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 Santoshkumar Lakkanagaon
Modern Big Data requirements include:
- Multi-region availability
- Fast and reliable response
- No single point of failure
- Scalability
Traditional relational databases (RDBMS) are not enough to meet these requirements because the relational model provides normalized schema, table joins and ACID compliance which causes a massive overhead for big data. In order to support these features, we need high-end systems which are not cost effective. Additionally, such systems often require substantial downtime.
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Tags:
Blog,
Cassandra
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
Business Intelligence has changed. There are new disruptive technologies, the cloud, and a paradigm shift that is putting more power into the hands of users instead of IT. More competition has allowed companies that have never had a chance to get into business intelligence to enter into the world of BI. Competition has also lead to more functionality to make true the promise of Business Intelligence.
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Tags:
KPI Cloud Analytics,
Ron Cruz,
Retail,
Business Intelligence,
Blog,
data information,
visualization,
Data Architecture