Easy way to split data on your disk into train, test, and validation?
pip install split-folders import splitfolders # or import split_folders input_folder = 'cell_images/' # Split with a ratio. # To only split into training and validation set, set a tuple to `ratio`, i.e, `(.8, .2)`. #Train, val, test splitfolders.ratio(input_folder, output="cell_images2", seed=42, ratio=(.7, .2, .1), group_prefix=None) # default values # Split val/test with a fixed number of items e.g. 100 for each set. # To only split into training and validation set, use a single number to `fixed`, i.e., `10`. # enable oversampling of imbalanced datasets, works only with fixed splitfolders.fixed(input_folder, output="cell_images2", seed=42, fixed=(35, 20), oversample=False, group_prefix=None)
Code generated in the video can be downloaded from here:
The impulse to cut project costs is often strong, especially in the final delivery phase of data integration and data migration projects. At this late phase of the project, a common mistake is to delegate testing responsibilities to resources with limited business and data testing skills.
Data integrations are at the core of data warehousing, data migration, data synchronization, and data consolidation projects.
In the past, most data integration projects involved data stored in databases. Today, it’s essential for organizations to also integrate their database or structured data with data from documents, e-mails, log files, websites, social media, audio, and video files.
Using data warehousing as an example, Figure 1 illustrates the primary checkpoints (testing points) in an end-to-end data quality testing process. Shown are points at which data (as it’s extracted, transformed, aggregated, consolidated, etc.) should be verified – that is, extracting source data, transforming source data for loads into target databases, aggregating data for loads into data marts, and more.
Only after data owners and all other stakeholders confirm that data integration was successful can the whole process be considered complete and ready for production.
#big data #data integration #data governance #data validation #data accuracy #data warehouse testing #etl testing #data integrations
If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.
If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.
In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.
#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition
In this tutorial, let’s discuss what data validation is and how it can be implemented in MS-Excel. Let’s start!!!
Data Validation is one of the features in MS-Excel which helps in maintaining the consistency of the data in the spreadsheet. It controls the type of data that can enter in the data validated cells.
Now, let’s have a look at how data validation works and how to implement it in the worksheet:
To apply data validation for the cells, then follow the steps.
1: Choose to which all cells the validation of data should work.
2: Click on the DATA tab.
3: Go to the Data Validation option.
4: Choose the drop down option in it and click on the Data Validation.
Once you click on the data validation menu from the ribbon, a box appears with the list of data validation criteria, Input message and error message.
Let’s first understand, what is an input message and error message?
Once, the user clicks the cell, the input message appears in a small box near the cell.
If the user violates the condition of that particular cell, then the error message pops up in a box in the spreadsheet.
The advantage of both the messages is that the input and as well as the error message guide the user about how to fill the cells. Both the messages are customizable also.
Let us have a look at how to set it up and how it works with a sample
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The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.
This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.
As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).
This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.
#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management
Software Testing is the hottest job at present time. The requirement for a software tester is increasing day by day with a good salary package depended on their skills in the software development companies.
Software testing has become a core part of application/product implementations. The good who want to make a career in software testing because it has a great scope of software testing is increasing day-by-day in the IT field.
The roles of a software tester are given according to their skills and experience. Here are the following is given below:
QA Analyst (Fresher)
Sr. QA Analyst (2-3 years’ experience)
QA Team Coordinator (5-6 years’ experience)
Test Manager (8-11 years’ experience)
Senior Test Manager (14+ experience)
Reasons Why Software Testing Is Good Career Option
Good Salary Package
Software tester gets paid a high salary package on which a software developer gets. It doesn’t matter beginner or fresher payment scale is on the same level all depended on their skill. Companies raise their salary based on skill, experience, and certification.
High In Demand
Now in the modern age competition is high for a software tester to provide high-quality products and services. For quality, final product testing is a basic core screening element which is the demand for Automation software testing is high in comparison to manual testing. Similarly, both software development and testing have great career opportunities for never-ending opportunities.
Easy To Enter In IT Sector
Whatever stream graduates can easily get into the IT sector by completed their online Software testing course. You don’t need to know advanced coding knowledge if you think that requires it. The only matter is interest to learn and work.
Easy To Learn
Many institutes provide software testing courses or online Software training from where you learn tools used for testing can easily by anyone who has an interest. Those who have basic coding skills can enter into software testing. However, It will not be easy for those who choose software testing just because of the trend and don’t have their interest in it.
Work As Freelancer
Software Testing is a flexible job, you can work on freelancing. Now there is the option to work from home in the IT sector in a flexible to maintain a work-life balance.
In other words, many companies prefer freelance work to reduce the cost and also the result is high, therefore one who has done a software testing training course either can work freelance or regular job the decision is up to you.
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