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    by Balaswamy Kaladi

    This blog describes how to configure Informatica’s SAP NetWeaver R/3 to connect with SAP BW, extracting data directly...

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    by Balaswamy Kaladi

    In today’s world of big data, analytics, and data warehousing, data volumes continue to grow, seemingly only matched...

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    by Santoshkumar Lakkanagaon

    What are the different types of Cassandra distributions available?

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    by Ron Cruz

    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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    by Santoshkumar Lakkanagaon

    Modern Big Data requirements include:

    • Multi-region availability
    • Fast and reliable response
    • No single point of...
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    by Jeremiah Johnson

    Data scientists are master communicators. They speak fluently with people in operations areas and those in information...

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    by Ron Cruz

    Business Intelligence has changed. There are new disruptive technologies, the cloud, and a paradigm shift that is putting more...

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    by Parul Singh

    Teaching is a complex, multifaceted activity that often requires the instructors to juggle between multiple tasks and goals...

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    by Mangesh Dange

    Oracle Big Data Discovery is a set of end-to-end visual analytic capabilities that leverage the power of Hadoop to...

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    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.

    1. Using Informatica’s SAP BW Connector – this extraction is driven by an Infospoke and extracts data via the Open Hub Services (OHS)
    2. 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.

    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.

    by Santoshkumar Lakkanagaon

    What are the different types of Cassandra distributions available?

    by Ron Cruz

    Thinking of moving to a cloud based data warehouse platform? Here’s what you need to evaluate and learn how to do it.

    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.

    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.

    by Ron Cruz

    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. 

    by Parul Singh

    Teaching is a complex, multifaceted activity that often requires the instructors to juggle between multiple tasks and goals simultaneously. The following are the small but powerful set of metrics that can interpret workloads and instructor assignments to make a better decision for effective and efficient instructor planning for courses. This would also support budget, resource allocation analyses and decision-making. 

    by Mangesh Dange

    Oracle Big Data Discovery is a set of end-to-end visual analytic capabilities that leverage the power of Hadoop to transform raw data into business insight in minutes, without the need to learn complex products or rely only on highly skilled resources. 

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