YDS - Your Data Server

I am a data analytics expert and those high-quality articles are my recommendations for your business, strategy and life. I give confidence to people with data and server tips.      

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YDS #22: ULTRA AI Domination - diagnostic system

It’s been a while, but I’m back with fresh daily tech news! I’m ready to share my last research and what we may expect for the future.

The first topic is about details on the IDx-DR system have been published by the developers in an August 2018.  They created this practice, not only to achieve efficiency in diagnosis, but also to ensure autonomy, or the requirement for review by experts, of its implementation in primary care settings

Moving on to careers,  those with no clear linear development in one organisation – have already started to replace older career development models.

Start test your strengths and skills in different contexts, to see how they could contribute more to their organisations.

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YDS #21: My data recommendation for innovation

Hello, how are you? If you’re looking for innovation using data process you’re in the right place!

Let’s start with a reference, what about “The framework”? Is the main one for innovation surveys. You can use it for measuring innovation outcomes based on the approach of many questions used.

There are results that show many report innovations about data, and is available to download.

This innovation is based on many countries with a database query tool, available to help understand the innovation and technology across various firms. So, I highly recommend The Framework!

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YDS #20: My data recommendation for collection

Kwa! How are you feeling now? I made a e-book for this topic that I published on my social medias, if it reach 1000 downloads I’ll publish another one.

But now I’ll extend this topic to the climax of improving data collection, this is my recommendation:

For collections it’s better to use tools for analysis and data extraction, look for sources of knowledge and innovation.

The data collection is always changing, so the decisions must change as well. My recommendation for keep those changes active use the NCSES program. They have web-based tools for harvesting data, particularly on human capital measures and output measures related to scientific discoveries and innovation, databases from other government agencies and private providers.

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YDS #19: My data recommendation for stewardship

Hi! Is this a new word for you? Oh. Well, data steward is a role within an organization responsible for utilizing an organizations Data Governance processes to ensure fitness of data elements.

This is something that requires a lot of time! Because you must put your policies, procedures and tools. I recommend you start by trying to understand the core dataset and business units.

But the most important is be aware of the leadership and influence capacity, ability to execute and background in data.

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YDS #18: My data recommendation for quality

I’m feeling optimistic today. So, I’ll share some of the best tips I know on my studies.

I want to make you aware of what quality means when data is involved. Please try to use only one program for data protection functions, it’s simply use only one good data protection software. Then, again, one software of networks.

Ok the one software rule it’s told. Now the appropriate backup, you should invest on an efficient backup with high perform and fast. Then, get the best offline storage you can that can speed data restores.

This is enough, but if you want more I’ll include: open APIs, and flexibility of management with integrations and web connections.

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YDS #17: My data recommendation for storage

Good night. The topic for this beautiful night is based on storage options. I’m fully aware that data during the active phase of research is more enthusiastic so here they are. Companies that provide storage and research labs for your projects called Athena Lockers.

You want more? Ok! They also offers accounts to some students with unlimited storage capacity and access data on Drobox, google, Firefox, any browser!

Remember back up your data, always! Make 4 copies and distribute them.

Use your security at maximum range! Try unencrypted for storing data so that others can easily read it. Furthermore, use passwords with keys on reality (like notepads or papers).

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YDS #16: My data recommendation for management

Hello. You heard about data management, I hope you did. There is a large stage of work on data that will ensure accessibility and longevity of our data.

However, there are many plans that you can follow, one of them is my favorite:

Start by complete your DMP so you’ll not sidelined when start collecting data.

When calculating the data management costs go by creation, analytics, storage, processing, preservation and sharing. There are many types of that and recommended/avoid formats but when naming those try to be consistent and descriptive.

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YDS #15: Big data, big problems! I tell you what to do.

How are you? As you may know there is limits for everything even the amount of digital data available.

Before talk about the problems let’s say something good first, alright. The big data improved government policymaking, programs, scholarship and much more!

But even Google’s search engine is not immune. It doesn’t matter the enormous amount of data overseen by some of the world’s top data scientists, its results are susceptible to “search-engine optimization” and manipulation, such as “Google bombing,” “spamdexing,” and other methods serving parochial interests…

The good news is that the hazards of Big Data can be largely avoided. 

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YDS #14: My data recommendation for tricky apps

Hi! Based on my previous key article I was to discuss the reason apps are stealing our data.

Well, you know that humans are ambitious, right? If they for a instant hand on a large amount of personal data and analytics what they think they do? Respect the rules? In some cases, yes! Because the law make they respect it.

But what about those tricky apps? Will you trust them to send your data, of course not. But that’s not the point. How you know they are tricky?

You must check which one is leaking using their system, DIALDroid.

Let’s protect against this amount of leaking sensitive information.

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YDS #13: My android say that data is been secretly used

Hey! One more key article. You may a Samsung galaxy s7 or j5, it doesn’t matter. If you get a notification saying that your data was secretly stolen and it says “click to fix now” don’t trust!!!

Why? You’re responding to a scam! You must contact your provider immediately and see what the status of your account is.

PLUS, in extreme case simply reset your phone and you’ll be ok.

But now let’s think for a second, yes? Only because it wasn’t a email and it was from your phone it doesn’t mean anything! It’s suspicious at the very beginning so please be careful!

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YDS #12: My data recommendation for science

Hi, welcome to another resumed, useful and unique advice. I bring to you my life science research that increasingly relies on large-scale computational analyses. You may ask, what’s Software packages? They are critical in data-driven studies. Do not use proprietary software that cannot be accessed by other researchers.

In my opinion, the best solution would be train scientists in data science as a element of a cultural revolution for data analysis. The young scientists in data science training. Maintain the lab Github repository and trainees can take advantage of online learning platforms that provide available training in tools and practices for data-driven research.

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YDS #11: My data recommendation for prediction models

Hello, I hope you’re feeling incredible! This that I’m going to tell you requires some programming skills. The CRAN or whatever their name is holds many packages where you can find several prepackaged. It’s a course that will offer you a huge mathematical insight in the techniques used. This is very easy to quickly learn the entire data science process.

Normal course vs Data Course

Stop! This is not good measure. To be possible find the right prediction model we must collect, describe, discover, predict, advise, recommendation engines and use basic prediction models. Not looking for a course.

Try get an idea of how to improve your models, either by improving your data quality, your model parameters or your model itself. At least, this is what I recommend.

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YDS #10: I’m on Ireland and this is what I found related to data analytics

Hey there. I heard there is an ICT here, on Ireland. Generally, it’s an educational course.

Well, I could paste here a few topics about them but I prefer resume it.

Data analytics applications cover a variety of organizations and industries, and remains mission critical for businesses as it turns information into an asset for deriving insight and making decisions. It has become a fundamental element for both private sector and public sector

I tell you, it’s a key growth area. And they goal to become a leading country in Europe for big data and analytics.

ATTENTION:

Previous topics told on #YDS are extreme important now. Because this modules are assessed through continuous assessment work only. I can apply and evaluate data science and big data analytics techniques to discover knowledge that can add value to a company. They seek to be flexible and responsive to industry needs while still maintaining a high standard of academic excellence.

There are many other things that you may find interesting but this is where my exploration ends. So, if you’re really interested contact me for provide more business intelligence information or anything else related to #YDS topics.

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YDS #9: How you should choose your Data Source

Hello! I did some research and I got something that it may help you choosing the best data source for you! 4 simple steps let’s go!

1.      So, first you must Create a new recommendation, or find the recommendation whose algorithm you want to set and click Edit.

2.      Then, select a source from the Choose Data Source dropdown list.

3.      Specify the period for which data should be used when calculating recommendations.

4.      To configure more data options, click Show More. And save it.

Yes, it’s this simple. 4 easy and simple steps to know the right source for you, you don’t need to thank me. :)

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YDS #8: My data recommendation for Cache

Hello, what’s going on with you lately? You should know that there are a large number of cache tips that can improve performance.

Things I looked for that you should be doing as well is:

Keep cache sizes and pool sizes proportional to the cache utilization objects and queries. View the cache as a shared resource rather than attempt to micromanage the caching needs of every table and index. Commit-sharing occurs when, instead of performing many individual commits, SAP ASE waits until it can perform a batch of commits. Per-process user log caches are sized according to the logical page size and the user log cache size configuration parameter. The default size of the user log cache is one logical page. Create a named cache for tempdb and configure the cache for 16K I/O for use by select into queries and sorts. Create a named cache for the logs for high-use databases. Configure pools in this cache to match the log I/O size set with sp_logiosize.

Again, believe when I say this, I tried and they work. Simply do as explained and you’ll be fine.

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YDS #7: My data recommendation for Ecosystem

One more day, one more data tip for you.

Hello, how are you today? You know that many organizations fix the state when they installed their enterprise database and data warehousing systems.

I use the term "ecosystem" to describe the emerging data environment. The term is an acknowledgement that going far. Many organizations will need to focus on the of multiple platforms.

Thing that you can do is gave greater priority because IT may no longer have clear oversight of the data and how it is being used. Or provide better tooling for monitoring data both at rest in databases and in motion across the organization. I am a rare individual who are part statistician, part programmer, part data analyst, knowledgeable about the business domain. 

Data is related in multiple sources, and how it is being transformed for BI and analytics. 

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YDS #6: My data recommendation for Removal

Hi data. Ready for more recommendations? Today’s is about removing unwanted data files. 

All the deletion has done is remove the pointer to the files, with the data itself residing in unallocated space on the hard drive. What does this mean? That data recovery is possible using various software tools! Isn’t it great, you never lost anything in fact.

If information is stored on the hard drive that is to be transferred to another individual, it is measures to be taken to wipe clean before the computer leaves your area of responsibility.

So, let’s go by simple topics and make you understand nice methods to do what you’re looking for:

The storage locations for protection against simple data recovery and rewriting with a new value. Render Target Data recovery using state of the art laboratory techniques use the media for storage of data.

I recommend the windows system for better results.