Keywords: Technology Blogs, Data Science, Advanced Analytics, Business Intelligence, Data Warehouse, Tableau, QlikView, MSBI, Power BI, Cognos, Business Objects, Microstrategy, ERP, CRM, Database, BIG Data, Hadoop, Spark, Application Software, Cloud Computing, Java, .Net, SQL, RDBMS, Testing Tools, Project Management, Oracle, IBM, Salesforce, SAP, Cloudera, MongoDB, Hortonworks Hive, Amazon, Google, Teradata, HP Vertica, Greenplum, Informatica, Data Stage, Abinitio.

BLOGS INDEX

What is the scope for Pegasystems career and jobs ? Whether to learn Pegasystems technologies for career advantage or not? It is a tricky question to answer !.

Informatica Big Data Management Editions - The BIG DATA and Data Science Game changer !

Tableau 10.1 Beta version released...

What is NoSQL and the difference between SQL and NoSQL ?

New Features of Tableau 10 Desktop

Tableau 10 Beta version released...

Difference between Tableau, QlikView, MSBI and PowerBI – PART I

What is Business Intelligence and Analytics Platform ?

What is BIG Data ? - Part I

Difference between Apache Hadoop and Apache Spark – PART I

What is the scope for Pegasystems career and jobs ? Whether to learn Pegasystems technologies for career advantage or not? It is a tricky question to answer !.

It is a tricky question to answer. Because the answer depends on many factors. Individuals qualifications, experience and business domain experience, location of the job and others.

In this article – we will try to share insights about Pegasystems… then the reader can decide whether to perceive the career Pegasystems technologies or not.

About Pegasystems:

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Informatica Big Data Management Editions - The BIG DATA and Data Science Game changer !

Data integration, data governance, and data security on Hadoop.

AS PER INFORMATICA -

Overview

The gold standard in data management solutions for integrating, governing, and securing big data that your business needs to get business value quickly.

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Tableau 10.1 Beta version released for Desktop and Server

We know that Tableau 10.0 released just few days back. On August 28th, Tableau released 10.1 beta version. The beat is mainly towards resolving minor bugs and issues.We have few customers having issues with Windows 10 compatibility, specially with Tableau 10 Desktop. We are working on collecting possible critical issues if there are any to be addressed in 10.1 beta.

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New Features of Tableau 10 Desktop

The following New Data Sources has been added:

Google Sheets
QuikBooks Online

DATA JOINING between DIFFERENT SOURCES

Now we can JOIN the data between two different data sources.

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Tableau 10 Beta version released for Desktop and Server ...

As Tableau competitors coming up with products such as QlikSense and Power BI with mind-set of self service and eating up some Tableau market share… Tableau taking the game to the next level with Tableau 10 version in Desktop and Server...

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What is the Difference between Tableau, QlikView, MSBI and PowerBI – PART I

Difference between Tableau, QlikView, MSBI and PowerBI – PART I

Tableau, QlikView, MSBI and Power BI all are part of Business Intelligence and Analytics platform.

What is Business Intelligence and Analytics Platform?

Business Intelligence Systems help in the decision making process of the business by providing information for analysis from variety of sources. The information from BI systems provides VISIBILITY in to various business operations and helps to understand CONSUMER BEHAVIOUR.

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What is Business Intelligence and Analytics Platform ?

Business Intelligence Systems help in the decision making process of the business by providing information for analysis from variety of sources. The information from BI systems provides VISIBILITY in to various business operations and helps to understand CONSUMER BEHAVIOUR. The visibility and consumer behaviour can expose PROBLEMS or ISSUES along with OPPORTUNITIES, this helps Business to make DICISIONS and ACTIONS either to fix problems or to take advantage of opportunities.

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What is BIG Data ? – PART I

Before knowing about BIG Data, we should understand about STRUCTURED DATA and UNSTRUCTURED DATA.

What is Structures Data?

Any data that is organized in COLUMNS and ROWS is STRUCTURED DATA. Irrespective of technology where the data is physically stored, as long as it is in columns and rows then we refer it as Structured Data. Structured data can be physically stored in RDBMS databases, excel files, text files, in memory databases, cloud server or in any other technologies.

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What is the Difference between Apache Hadoop and Apache Spark – PART I

What is Apache Hadoop?

Hadoop is a frame work to convert UNSTRUCTURED DATA in to STRUCTURED DATA.

As per Cloudera – “Hadoop is an ecosystem of open source components that fundamentally changes the way enterprises store, process, and analyze data. Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data, at the same time. CDH, Cloudera's open source platform, is the most popular distribution of Hadoop and related projects in the world (with support available via a Cloudera Enterprise subscription).”

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