Evrone Evrone

Evrone Evrone

1612001291

Open-sourcing Datanymizer, in-flight template-driven data anonymization tool by Evrone

Fakers, anonymizers, and obfuscators — there are various free and open-source data anonymization tools that have been around for a long time and work pretty well, so why did we create a new one? The one that supports globals, uniqueness constraints, inline rules, and other cool features.

We had some particular requirements we wanted our tool to meet. We didn’t want the anonymizer to take a “raw” dump and mutate it. Instead, we needed to provide an already anonymized dump, without access to real data. The configuration that determined how the real system data would be anonymized should have been kept separate from that data.

We also wanted a tool that was flexible about how the anonymization itself takes place, ideally allowing the use of templates to populate field contents.

Read more about Datanymizer: https://evrone.com/datanymizer

#fakers #anonymizers #data, supports #separate #flexible #templates

What is GEEK

Buddha Community

Open-sourcing Datanymizer, in-flight template-driven data anonymization tool by Evrone
 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

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

Evrone Evrone

Evrone Evrone

1612001291

Open-sourcing Datanymizer, in-flight template-driven data anonymization tool by Evrone

Fakers, anonymizers, and obfuscators — there are various free and open-source data anonymization tools that have been around for a long time and work pretty well, so why did we create a new one? The one that supports globals, uniqueness constraints, inline rules, and other cool features.

We had some particular requirements we wanted our tool to meet. We didn’t want the anonymizer to take a “raw” dump and mutate it. Instead, we needed to provide an already anonymized dump, without access to real data. The configuration that determined how the real system data would be anonymized should have been kept separate from that data.

We also wanted a tool that was flexible about how the anonymization itself takes place, ideally allowing the use of templates to populate field contents.

Read more about Datanymizer: https://evrone.com/datanymizer

#fakers #anonymizers #data, supports #separate #flexible #templates

Ian  Robinson

Ian Robinson

1624399200

Top 10 Big Data Tools for Data Management and Analytics

Introduction to Big Data

What exactly is Big Data? Big Data is nothing but large and complex data sets, which can be both structured and unstructured. Its concept encompasses the infrastructures, technologies, and Big Data Tools created to manage this large amount of information.

To fulfill the need to achieve high-performance, Big Data Analytics tools play a vital role. Further, various Big Data tools and frameworks are responsible for retrieving meaningful information from a huge set of data.

List of Big Data Tools & Frameworks

The most important as well as popular Big Data Analytics Open Source Tools which are used in 2020 are as follows:

  1. Big Data Framework
  2. Data Storage Tools
  3. Data Visualization Tools
  4. Big Data Processing Tools
  5. Data Preprocessing Tools
  6. Data Wrangling Tools
  7. Big Data Testing Tools
  8. Data Governance Tools
  9. Security Management Tools
  10. Real-Time Data Streaming Tools

#big data engineering #top 10 big data tools for data management and analytics #big data tools for data management and analytics #tools for data management #analytics #top big data tools for data management and analytics

Gerhard  Brink

Gerhard Brink

1624692167

Top 10 Big Data Tools for 2021!

In today’s tech world, data is everything. As the focus on data grows, it keeps multiplying by leaps and bounds each day. If earlier mounds of data were talked about in kilobytes and megabytes, today terabytes have become the base unit for organizational data. This coming in of big data has transformed paradigms of data storage, processing, and analytics.

Instead of only gathering and storing information that can offer crucial insights to meet short-term goals, an increasing number of enterprises are storing much larger amounts of data gathered from multiple resources across business processes. However, all this data is meaningless on its own. It can add value only when it is processed and analyzed the right way to draw point insights that can improve decision-making.

Processing and analyzing big data is not an easy task. If not handled correctly, big data can turn into an obstacle rather than an effective solution for businesses. Effective handling of big data management  requires to use of tools that can steer you toward tangible, substantial results. For that, you need a set of great big data tools that will not only solve this problem but also help you in producing substantial results.

Data storage tools, warehouses, and data lakes all play a crucial role in helping companies store and sort vast amounts of information. However, the true power of big data lies in its analytics. There are a host of big data tools in the market today to aid a business’ journey from gathering data to storing, processing, analyzing, and reporting it. Let’s take a closer look at some of the top big data tools that can help you inch closer to your goal of establishing data-driven decision-making and workflow processes.

Apache Hadoop

Apache Spark

Flink

Apache Storm

Apache Cassandra

#big data #big data tools #big data management #big data tool #top 10 big data tools for 2021! #top-big-data-tool

Evrone Evrone

Evrone Evrone

1611921134

Open-sourcing Datanymizer, in-flight template-driven data anonymization tool by Evrone

Open-sourcing Datanymizer: in-flight template-driven data anonymization

Fakers, anonymizers, and obfuscators — there are various free and open-source data anonymization tools that have been around for a long time and work pretty well, so why did we create a new one? The one that supports globals, uniqueness constraints, inline rules, and other cool features.

We had some particular requirements we wanted our tool to meet. We didn’t want the anonymizer to take a “raw” dump and mutate it. Instead, we needed to provide an already anonymized dump, without access to real data. The configuration that determined how the real system data would be anonymized should have been kept separate from that data.

We also wanted a tool that was flexible about how the anonymization itself takes place, ideally allowing the use of templates to populate field contents.

Read more about Datanymizer: https://evrone.com/datanymizer

#fakers #anonymizers #data #supports #separate #flexible