Talend se lance dans la qualité des données. Talend community forum / Question about using TOP with SQL Serve. Talend Announces Open Source Data Quality Product. Explore your database with Talend Open Profiler. Open Profiler offers functions for both technical and business users. It can quickly build statistics that reflects the usability of the information within a database table. As it finds corrupt or inconsistent data, it can scrub bad information from database structures. Additionally, Open Profiler simplifies the repetitive nature of statistical analysis while reducing labor costs and errors. Getting familiar with Open Profiler I found it easy to use Open Profiler to find the information needed to perform an analysis of columns. Data profiling with Open Profiler is easy and is accomplished within a few simple steps. To get started, the first thing you need to do is create a connection to a database by traversing the tree structure in the left panel from Metadata -> DB Connections.
Talend Open Profiler Once you've made a database connection you can being analyzing data in tables, which is the main purpose of this tool. In my testing, the refresh rate could have been a bit better. Cleanse Your Data Before Integration For Free. New Open Source Tool For Data Quality Control - Startup City Blo. Dashboard Insight - Talend Announces First Open Source Data Prof.
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Building Interactive Mobile Dashboards for the Salesforce Platform Feb. 28, 2014 Christophe Coenraets provides examples on creating interactive, mobile friendly dashboards for the Salesforce platform. Yup. New-look BI companies — Domo, Looker, Thoughtspot — are attracting big bucks from VCs who see gold in making big data accessible to mortals. 7 Simple Secrets To Nailing Your CEO Dashboard Feb. 27, 2014 Is There a Place for NoSQL in BI and Analytics? Feb. 26, 2014. Talend Introduces First Open Source Data Profiler. Talend today announced the first open source data profiler, which enables companies to assess the quality of data and decide which actions must be taken to correct "dirty data" that irritate customers and cost companies time and money.
Data profiling is the first step to achieving reliable, trustworthy data. ebizQ received the following: Data quality is a major concern for companies of all sizes. Faulty or conflicting data such as missing zip codes, incomplete addresses or wrong phone numbers can lead to multiple mailings to the same customer, lost product shipments and missed sales opportunities. Aware that data services can give you the competitive advantage but don't know where to start? The first step in improving the quality of a company’s data is to “profile” or evaluate the data.
"Data profiling is a key component of an organization's comprehensive data quality management program," said David Loshin, president and principal consultant at Knowledge Integrity. Talend releases open-source data-profiling application. Talend offers open-source data profiling tool - SD Times On The. (Page 1 of 2)As enterprises find more ways to use vast stores of data, they are increasingly demanding a tool that determines the quality of the data.
One company is offering its first open-source data profiler to accomplish that. Talend introduced today its first free and open-source data profiler, Talend Open Profiler. It was called an important first step towards determining data quality by Yves de Montcheuil, vice president of marketing for Talend. The profiler offers metadata discovery—identifying the structure of the databases being analyzed—and statistics definition for identifying the statistics and metrics that need to be measured. The profiler also creates graphics that depict the results and assess data quality. Data quality is the process of going through specific databases and determining the accuracy of data, such as whether phone numbers match customer names, addresses, ZIP codes and other statistics.