50 - 83 of 33 tags for analytics

Real-time data capture is the first step to a Sentient Enterprise. The ability to quickly add new data sources for capturing real-time data is critical to keeping a business relevant.

Love or hate it, social media is here to stay. 

Overview

This article describes how to combine exploratory analytics and operational analytics within the Teradata Unified Data architecture (UDA). The UDA is a logical and physical architecture that adds a data lake platform to complement the Teradata Integrated Data Warehouse. In the Teradata advocated solution, the data lake platform can either be Hadoop or a Teradata Integrated Big Data Platform optimized for storage and processing of big data. Query Grid is an orchestration mechanism that supports seamless integration of multiple types of purpose built analytic engines within the UDA.

The Internet of Things (IOT) has arrived and is growing rapidly in scope and influence. From industrial equipment, to personal tracking devices, to smart grid infrastructure, the number of connected devices is increasing exponentially.

Dear All, Need help with below situation....
Data
id        date
100   6/6/2015
100   8/1/2015
100   9/30/2015
200   8/11/2015
300   7/18/2015
300   1/10/2015
300   3/5/2015
300   6/15/2015

On the Teradata Connections website, a new group has been created to foster and encourage discussion, ideas exchange and help with issues on the topic of R and Python Analytics with the SCRIPT Table Operator. Visit:

The R and Python programming languages are very popular for statistical and mathematical tasks, and notable examples of open source software for analytics.

Background

This article is a follow on to article [1] which discussed implementing K-means using a Teradata release 14.10 table operator. The main contribution of this article is to discuss how to use the new Teradata 15.0 multiple input stream feature and a short discussion on a gcc compiler performance optimization.

Typical 2 years Sales Data Mart contains detail and aggregates in order to support time traverse metrics like 4 Week Shipments, 13 Week Shipments and so on...

Big Data is a challenge today for most companies. Aster’s Big Data Discovery platform, with its library of SQL-MapReduce functions, enables your business analysts and data scientist to easily uncover new insights and business opportunities.

There are fairly standardized organizational structures for functions like Human Resources, Finance, and Marketing. However, this isn’t true when it comes to corporate analytics functions.

Hi guys,
I would like to understand peoples views on utilising DBC for dynamically generating scripts for data processing.
Considering DBC is Teradata's own metadata store and the development of this is owned and managed by Teradata do you feel it appropriate to develop frameworks for processing data based upon this?

The growing importance of leveraging new sources of data and new types of analysis has led to the emergence of new technologies that can process non-relational data and perform deep analysis on that data.

Hadoop Administrator Workshop

 

Introduction toApache Hadoop 

The Hadoop Distributed File System 

MapReduce 

Planning a Hadoop Cluster

Named Nodes, Data Nodes

Hadoop node failure recovery 

Hadoop Installation & Configuration

Advanced Configuration

Rack Awareness

HADOOP-BIG DATA online training course providing by magnific training.

 

We provide two Hadoop Training Courses:

Intensive Developer Training (6-8 weeks)

Corporate Training (4 weeks)

 

If Interested Send me an Email with below Details

Resume

Visa Status

Current Location

 

Based on content from the popular book "Taming The Big Data Tidal Wave"; this talk cuts through the hype around big data and helps the audience better understand what they need to do to succeed with big data in their organizations starting today.

This package contains the Aster Analytics Beta Functions

The new Teradata Aster Express virtual images bring the powerful analytics of the Aster platform to any PC or workstation. 

It's well-known that the application of database optimization techniques can improve query performance.

Teradata Warehouse Miner provides an array of data profiling and mining functions ranging from data exploration and transformation to analytic model development and deployment that are performed directly in the Teradata Database. While many data mining solutions require analysts to extract data samples to build and run analytic models, Teradata Warehouse Miner allows you to analyze detailed data without moving it out of the data warehouse, thus streamlining the data mining process.

Teradata Warehouse Miner, and its derivative products Teradata Analytic Data Set (ADS) Generator, Teradata Data Set Builder for SAS and Teradata Profiler, can provide both a framework for the data mining process and a significant savings of time and resources in implementing the process.

Hi,
 
I am trying to run some functions in R use TeradataR. IT seems like some of the funcitons does not work or limit the number of rows to top 50. HEre is one of the error which I am receiving 

 

Historically, those who work in the world of advanced analytics and data mining have done their work in a separate environment that they control. This approach made sense in the days before Teradata Enterprise Data Warehouses made most, or all, of the needed data available in a scalable environment ...

An updated version of the teradataR package is now available here.

Enhancements included with this new 1.0.1 release include:

As most of you might agree, managing our collections of digitial pictures is becoming quite a challenge.  The number of photos continues to increase and now includes pictures from cameras as well as multiple mobile devices.  And to add to my troubles, I find that I have duplicate copies in different folders and on different computers.  Getting this organized is becoming a high priority.  Sure there are management solutions already available, but hey, we're tech people and it's more fun to try to build our own!  With the free Teradata Express database and some java coding, we have the right tools to get started.

I've found this package while researching a connection between R and teradata. Has anyone seen documentation/reference manual for the package? Since it's a 3rd party package (vs. residing in CRAN), I haven't found a lot of people talking about/using it.

Any experience with or knowledge about the TeradataR would be appreciated!

Thanks!

The past year has been highly volatile and unpredictable. Economic forecasts and stock market sentiment are in constant flux. Within this uncertain period lies some hidden opportunities. As painful as the situation may be, it has forced businesses to examine all of their practices and look for ways to do things differently. Advanced Analytics can be a critical component in determining how to survive the downturn and, more importantly, be positioned to thrive during the recovery.

How can I generate all permutation from the variables selected from different tables using SQL

For Example

In Table1 with Var1 has values:
Var1
1
2
3

In Table2 with Var2 has values:
Var2
4
5

In Table3 with Var3 has values:
Var3
7
8
9

HOw could I take an average of two values by arranging the data in ascending order using SQL. For example

For the Col "Var1" with data

TrackId Var1
1 1.2
2 1.1
3 1.5
4 1.6
5 1.3

Teradata Warehouse Miner provides an array of data profiling and mining functions ranging from data exploration and transformation to analytic model development and deployment that are performed directly in the Teradata Database. While many data mining solutions require analysts to extract data samples to build and run analytic models, Teradata Warehouse Miner allows you to analyze detailed data without moving it out of the data warehouse, thus streamlining the data mining process. Teradata Warehouse Miner, and its derivative products Teradata Analytic Data Set (ADS) Generator, Teradata Data Set Builder for SAS and Teradata Profiler, can provide both a framework for the data mining process and a significant savings of time and resources in implementing the process.

Once you've installed the Evaluation Copy of Teradata Warehouse Miner (described in the article "Getting Started Installing and Configuring Teradata Warehouse Miner"), there are now two ways to get to know Teradata Warehouse Miner.  First, you can get started quickly by loading and viewing a supplied tutorial project.  Second, you can learn how to build a project from scratch, with specific examples in on the following:

  • Create a Histogram Analysis
  • Create a Scatter Plot Diagram
  • Create a Decision Tree Model
  • Create a Decision Tree Score Table

It is easy to install the Teradata Warehouse Miner Evaluation software. First, download the software package. Then open the “TWM.msi” file and follow the instructions, including accepting the license agreement and, if necessary, installing the appropriate version of the .NET runtime package if prompted to do so.  After the installation, start the application via its desktop icon or start-program item and then select Contents & Index on the Help menu (or simply press F1).  Open the Configuration sub-chapter in the Installation and Configuration chapter of the Help system.  You can follow the instructions in this chapter to configure Teradata Warehouse Miner to work against the desired data in your Teradata data warehouse.