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Data Validation

5 Data Security Best Practices for Business

By Meghavi Vyas

Enormous data breaks get significant press, yet the organizations are at the hazard. Obviously, most independent businesses don’t have multi-million dollar digital resistance for Data security best practices.  GDPR has sweeping outcomes. With the ability to impact organizations situated in the USA, which is the greatest exchanging accomplice of the EU, as it may, the […]

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Data Science

How does data security and privacy law work for data storage?

By Meghavi Vyas

Data privacy issues are one of the essential aspects to focus on several data increases in huge amounts. To get better insights from data and to use it to serve customers better, security is the crystal part to take care. “Data Security is known as a process that saves and protects databases, files, documents, and […]

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Data Validation

How data quality plays a big role in better analytics

By Meghavi Vyas

Today we are going to discuss Data Quality and its impact on data analytics. Before starting with analytics and more towards data, you must know the source of your data. I have been researching for long and what I observe is the data source. For any further process on your collected data, a resource of […]

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Data Lake

Data Lake Part 2: File Formats, Compression And Security

By Meghavi Vyas

In this article, I am going to discuss the File Formats, security, and compression of a Data Lake. Data lake architecture can explore data lake architecture across two dimensions. Part I – Storage and Data Processing Introduction Physical Storage Data Processing ETL Part II – File Formats, Compression, and Security File Formats and Data Compression […]

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Data Lake

What is Data Lake: Storage and Data Processing- Part 1

By Meghavi Vyas

For your business to have the best data lake practices, BI tools are the go-to solution with data analysis for customer experience metrics. But businesses now are going beyond BI to meet with the latest data lake essentials.  That helps to stream better, to interact, analyze, and more to get advantages of data lake at […]

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Predictive Analytics

Stock Forecasting using Neural Networks

By Meghavi Vyas

The account or we can say the financial aspect is exceptionally nonlinear, whereby Neural Networks to Predict the Market through data can appear to be valid in the dynamic world.  Stock forecasting strategies, as an act to determine the future value of an organization product, for example, ARIMA and GARCH models, are viable just when […]

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AI & PA

Smart Implementation of AI in Data Analysis and Predictions

By Meghavi Vyas

Along with updating your technology, data is carried in a huge way from various resources for AI implementation to carry out better business decisions. And for all data processing, Analytics has been an active part that is changing in the business for a long time.  Organizations are mastering with skills to visualize and analyze data […]

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Data Validation

Effective Data Validation with Sigma Data Systems

By Meghavi Vyas

There are plenty of methods and ways to validate data, such as employing validation rules and constraints, establishing routines and workflows, and checking and reviewing data. For this article, we are guiding for best practices for the data validation system to adapt when inspecting for data that we used successfully. Till the date, we are […]

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Data Science

The next big thing is: Start analyzing your IT Process Data today.

By Meghavi Vyas

You may imagine that your data isn’t prepared and not realize where to begin. The idea of data analyzing changing to information focused culture, where the entirety of your IT procedure information is reliably broke down and utilized for essential leadership, can feel overpowering.  Numerous associations execute their ITSM frameworks without considering the suggestions for […]

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Data Lake

How to build an efficient Data Lake to update the business?

By Meghavi Vyas

A modern database platform is formed based on Data Lake. These days we heard many cases for Data Lake as a service, data lake, data lake implementation, and cloud-based hybrid data integration to increase data maturity and use for business insights. As we know, data lakes allow visibility to your data that breaks down silos […]