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Granite de l’Aber Ildut
9 septembre 2011, par
Mis à jour : Septembre 2011
Langue : français
Type : Texte
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Géodiversité
9 septembre 2011, par ,
Mis à jour : Août 2018
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Autres articles (102)
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MediaSPIP 0.1 Beta version
25 avril 2011, parMediaSPIP 0.1 beta is the first version of MediaSPIP proclaimed as "usable".
The zip file provided here only contains the sources of MediaSPIP in its standalone version.
To get a working installation, you must manually install all-software dependencies on the server.
If you want to use this archive for an installation in "farm mode", you will also need to proceed to other manual (...) -
Modifier la date de publication
21 juin 2013, parComment changer la date de publication d’un média ?
Il faut au préalable rajouter un champ "Date de publication" dans le masque de formulaire adéquat :
Administrer > Configuration des masques de formulaires > Sélectionner "Un média"
Dans la rubrique "Champs à ajouter, cocher "Date de publication "
Cliquer en bas de la page sur Enregistrer -
MediaSPIP v0.2
21 juin 2013, parMediaSPIP 0.2 est la première version de MediaSPIP stable.
Sa date de sortie officielle est le 21 juin 2013 et est annoncée ici.
Le fichier zip ici présent contient uniquement les sources de MediaSPIP en version standalone.
Comme pour la version précédente, il est nécessaire d’installer manuellement l’ensemble des dépendances logicielles sur le serveur.
Si vous souhaitez utiliser cette archive pour une installation en mode ferme, il vous faudra également procéder à d’autres modifications (...)
Sur d’autres sites (13887)
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CCPA vs GDPR : Understanding Their Impact on Data Analytics
19 mars, par Alex CarmonaWith over 400 million internet users in Europe and 331 million in the US (11% of which reside in California alone), understanding the nuances of privacy laws like the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA) is crucial for compliant and ethical consumer data collection.
Navigating this compliance landscape can be challenging for businesses serving European and Californian markets.
This guide explores the key differences between CCPA and GDPR, their impact on data analytics, and how to ensure your business meets these essential privacy requirements.
What is the California Consumer Privacy Act (CCPA) ?
The California Consumer Privacy Act (CCPA) is a data privacy law that gives California consumers control over their personal information. It applies to for-profit businesses operating in California that meet specific criteria related to revenue, data collection and sales.
Origins and purpose
The CCPA addresses growing concerns about data privacy and how businesses use personal information in California. The act passed in 2018 and went into effect on 1 January 2020.
Key features
- Grants consumers the right to know what personal information is collected
- Provides the right to delete personal information
- Allows consumers to opt out of the sale of their personal information
- Prohibits discrimination against consumers who exercise their CCPA rights
Key definitions under the CCPA framework
- Business : A for-profit entity doing business in California and meeting one or more of these conditions :
- Has annual gross revenues over $25 million ;
- Buys, receives, sells or shares 50,000 or more consumers’ personal information ; or
- Derives 50% or more of its annual revenues from selling consumers’ personal information
- Consumer : A natural person who is a California resident
- Personal Information : Information that could be linked to, related to or used to identify a consumer or household, such as online identifiers, IP addresses, email addresses, social security numbers, cookie identifiers and more
What is the General Data Protection Regulation (GDPR) ?
The General Data Protection Regulation (GDPR) is a data privacy and protection law passed by the European Union (EU). It’s one of the strongest and most influential data privacy laws worldwide and applies to all organisations that process the personal data of individuals in the EU.
Origins and purpose
The GDPR was passed in 2016 and went into effect on 25 May 2018. It aims to harmonise data privacy laws in Europe and give people in the European Economic Area (EEA) privacy rights and control over their data.
Key features
- Applies to all organisations that process the personal data of individuals in the EEA
- Grants individuals a wide range of privacy rights over their data
- Requires organisations to obtain explicit and informed consent for most data processing
- Mandates appropriate security measures to protect personal data
- Imposes significant fines and penalties for non-compliance
Key definitions under the GDPR framework
- Data Subject : An identified or identifiable person
- Personal Data : Any information relating to a data subject
- Data Controller : The entity or organisation that determines how personal data is processed and what for
- Data Processor : The entity or organisation that processes the data on behalf of the controller
CCPA vs. GDPR : Key similarities
The CCPA and GDPR enhance consumer privacy rights and give individuals greater control over their data.
Dimension CCPA GDPR Purpose Protect consumer privacy Protect individual data rights Key Rights Right to access, delete and opt out of sale Right to access, rectify, erase and restrict processing Transparency Requires transparency around data collection and use Requires transparency about data collection, processing and use CCPA vs. GDPR : Key differences
While they have similar purposes, the CCPA and GDPR differ significantly in their scope, approach and specific requirements.
Dimension CCPA GDPR Scope For-profit businesses only All organisations processing EU consumer data Territorial Reach California-based natural persons All data subjects within the EEA Consent Opt-out system Opt-in system Penalties Per violation based on its intentional or negligent nature Case-by-case based on comprehensive assessment Individual Rights Narrower (relative to GDPR) Broader (relative to CCPA) CCPA vs. GDPR : A multi-dimensional comparison
The previous sections gave a broad overview of the similarities and differences between CCPA and GDPR. Let’s now examine nine key dimensions where these regulations converge or diverge and discuss their impact on data analytics.
#1. Scope and territorial reach
The GDPR has a much broader scope than the CCPA. It applies to all organisations that process the personal data of individuals in the EEA, regardless of their business model, purpose or physical location.
The CCPA applies to medium and large for-profit businesses that derive a substantial portion of their earnings from selling Californian consumers’ personal information. It doesn’t apply to non-profits, government agencies or smaller for-profit companies.
Impact on data analytics
The difference in scope significantly impacts data analytics practices. Smaller businesses may not need to comply with either regulation, some may only need to follow the CCPA, while most global businesses must comply with both. This often requires different methods for collecting and processing data in California, Europe, and elsewhere.
#2. Penalties and fines for non-compliance
Both the CCPA and GDPR impose penalties for non-compliance, but the severity of fines differs significantly :
CCPA Maximum penalty $2,500 per unintentional violation
$7,500 per intentional violation“Per violation” means per violation per impacted consumer. For example, three intentional CCPA violations affecting 1,000 consumers would result in 3,000 total violations and a $22.5 million maximum penalty (3,000 × $7,500).
The largest CCPA fine to date was Zoom’s $85 million settlement in 2021.
In contrast, the GDPR has resulted in 2,248 fines totalling almost €6.6 billion since 2018 — €2.4 billion of which were for non-compliance.
GDPR Maximum penalty €20 million or
4% of all revenue earned the previous yearSo far, the biggest fine imposed under the GDPR was Meta’s €1.2 billion fine in May 2023 — 15 times more than Zoom had to pay California.
Impact on data analytics
The significant difference in potential fines demonstrates the importance of regulatory compliance for data analytics professionals. Non-compliance can have severe financial consequences, directly affecting budget allocation and business operations.
Businesses must ensure their data collection, storage and processing practices comply with regulations in both Europe and California.
Choosing privacy-first, compliance-ready analytics platforms like Matomo is instrumental for mitigating non-compliance risks.
#3. Data subject rights and consumer rights
The CCPA and GDPR give people similar rights over their data, but their limitations and details differ.
Rights common to the CCPA and GDPR
- Right to Access/Know : People can access their personal information and learn what data is collected, its source, its purpose and how it’s shared
- Right to Delete/Erasure : People can request the deletion of their personal information, with some exceptions
- Right to Non-Discrimination : Businesses can’t discriminate against people who exercise their privacy rights
Consumer rights unique to the CCPA
- Right to Opt Out of Sale : Consumers can prohibit the sale of their personal information
- Right to Notice : Businesses must inform consumers about data collection practices
- Right to Disclosure : Consumers can request specific information collected about them
Data subject rights unique to the GDPR
- Right to be Informed : Broader transparency requirements encompass data retention, automated decision-making and international transfers
- Right to Rectification : Data subjects may request the correction of inaccurate data
- Right to Restrict Processing : Consumers may limit data use in certain situations
- Right to Data Portability : Businesses must provide individual consumer data in a secure, portable format when requested
- Right to Withdraw Consent : Consumers may withdraw previously granted consent to data processing
CCPA GDPR Right to Access or Know ✓ ✓ Right to Delete or Erase ✓ ✓ Right to Non-Discrimination ✓ ✓ Right to Opt-Out ✓ Right to Notice ✓ Right to Disclosure ✓ Right to be Informed ✓ Right to Rectification ✓ Right to Restrict Processing ✓ Right to Data Portability ✓ Right to Withdraw Consent ✓ Impact on data analytics
Data analysts must understand these rights and ensure compliance with both regulations, which could potentially require separate data handling processes for EU and California consumers.
#4. Opt-out vs. opt-in
The CCPA generally follows an opt-out model, while the GDPR requires explicit consent from individuals before processing their data.
Impact on data analytics
For CCPA compliance, businesses can collect data by default if they provide opt-out mechanisms. Failing to process opt-out requests can result in severe penalties, like Sephora’s $1.2 million fine.
Under GDPR, organisations must obtain explicit consent before collecting any data, which can limit the amount of data available for analysis.
#5. Parental consent
The CCPA and GDPR have provisions regarding parental consent for processing children’s data. The CCPA requires parental consent for children under 13, while the GDPR sets the age at 16, though member states can lower it to 13.
Impact on data analytics
This requirement significantly impacts businesses targeting younger audiences. In Europe and the US, companies must implement different methods to verify users’ ages and obtain parental consent when necessary.
The California Attorney General’s Office recently fined Tilting Point Media LLC $500,000 for sharing children’s data without parental consent.
#6. Data security requirements
Both regulations require businesses to implement adequate security measures to protect personal data. However, the GDPR has more prescriptive requirements, outlining specific security measures and emphasising a risk-based approach.
Impact on data analytics
Data analytics professionals must ensure that data is processed and stored securely to avoid breaches and potential fines.
#7. International data transfers
Both the CCPA and GDPR address international data transfers. Under the CCPA, businesses must only inform consumers about international transfers. The GDPR has stricter requirements, including ensuring adequate data protection safeguards for transfers outside the EEA.
Other rules, like the Payment Services Directive 2 (PSD2), also affect international data transfers, especially in the financial industry.
PSD2 requires strong customer authentication and secure communication channels for payment services. This adds complexity to cross-border data flows.
Impact on data analytics
The primary impact is on businesses serving European residents from outside Europe. Processing data within the European Union is typically advisable. Meta’s record-breaking €1.2 billion fine was specifically for transferring data from the EEA to the US without sufficient safeguards.
Choosing the right analytics platform helps avoid these issues.
For example, Matomo offers a free, open-source, self-hosted analytics platform you can deploy anywhere. You can also choose a managed, GDPR-compliant cloud analytics solution with all data storage and processing servers within the EU (in Germany), ensuring your data never leaves the EEA.
#8. Enforcement mechanisms
The California Attorney General is responsible for enforcing CCPA requirements, while in Europe, the Data Protection Authority (DPA) in each EU member state enforces GDPR requirements.
Impact on data analytics
Data analytics professionals should be familiar with their respective enforcement bodies and their powers to support compliance efforts and minimise the risk of fines and penalties.
#9. Legal basis for personal data processing
The GDPR outlines six legal grounds for processing personal data :
- Consent
- Contract
- Legal obligation
- Vital interests
- Public task
- Legitimate interests
The CCPA doesn’t explicitly define lawful bases but focuses on consumer rights and transparency in general.
Impact on data analytics
Businesses subject to the GDPR must identify and document a valid lawful basis for each processing activity.
Compliance rules under CCPA and GDPR
Complying with the CCPA and GDPR requires a comprehensive approach to data privacy. Here’s a summary of the essential compliance rules for each framework :
CCPA compliance rules
- Create clear and concise privacy policies outlining data collection and use practices
- Give consumers the right to opt-out
- Respond to consumer requests to access, delete and correct their personal information
- Implement reasonable security measures for consumers’ personal data protection
- Never discriminate against consumers who exercise their CCPA rights
GDPR compliance rules
- Obtain explicit and informed consent for data processing activities
- Implement technical and organisational controls to safeguard personal data
- Designate a Data Protection Officer (DPO) if necessary
- Perform data protection impact assessments (DPIAs) for high-risk processing activities
- Maintain records of processing activities
- Promptly report data breaches to supervisory authorities
Navigating the CCPA and GDPR with confidence
Understanding the nuances of the CCPA and GDPR is crucial for businesses operating in the US and Europe. These regulations significantly impact data collection and analytics practices.
Implementing robust data security practices and prioritising privacy and compliance are essential to avoid severe penalties and build trust with today’s privacy-conscious consumers.
Privacy-centric analytics platforms like Matomo enable businesses to collect, analyse and use data responsibly and transparently, extracting valuable insights while maintaining compliance with both CCPA and GDPR requirements.
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LGPD : Demystifying Brazil’s New Data Protection Law
31 août 2023, par Erin — Privacy -
My SBC Collection
31 décembre 2023, par Multimedia Mike — GeneralLike many computer nerds in the last decade, I have accumulated more than a few single-board computers, or “SBCs”, which are small computers based around a system-on-a-chip (SoC) that nearly always features an ARM CPU at its core. Surprisingly few of these units are Raspberry Pi units, though that brand has come to exemplify and dominate the product category.
Also, as is the case for many computer nerds, most of these SBCs lay fallow for years at a time. Equipped with an inexpensive lightbox that I procured in the last year, I decided I could at least create glamour shots of various units and catalog them in a blog post.
While Raspberry Pi still enjoys the most mindshare far and away, and while I do have a few Raspberry Pi units in my inventory, I have always been a bigger fan of the ODROID brand, which works with convenient importers around the world (in the USA, I can vouch for Ameridroid, to whom I’ve forked over a fair amount of cash for these computing toys).
As mentioned, Raspberry Pi undisputedly has the most mindshare of all these SBC brands and I often wonder why… and then I immediately remind myself that it has the biggest ecosystem, and has a variety of turnkey projects and applications (such as Pi-hole and PiVPN) that promise a lower barrier to entry — as well as a slightly lower price point — than some of these other options. ODROID had a decent ecosystem for awhile, especially considering the monthly ODROID Magazine, though that ceased publication in July 2020. The Raspberry Pi and its variants were famously difficult to come by due to the global chip shortage from 2021-2023. Meanwhile, I had no trouble procuring these boards during the same timeframe.
So let’s delve into the collection…
Cubieboard
The Raspberry Pi came out in 2012 and by 2013 I was somewhat coveting one to hack on. Finally ! An accessible ARM platform to play with. I had heard of the BeagleBoard for years but never tried to get my hands on one. I was thinking about taking the plunge on a new Raspberry Pi, but a colleague told me I should skip that and go with this new hotness called the Cubieboard, based on an Allwinner SoC. The big value-add that this board had vs. a Raspberry Pi was that it had a SATA adapter. Although now that it has been a decade, it only now occurs to me to quander whether it was true SATA or a USB-to-SATA bridge. Looking it up now, I’m led to believe that the SoC supported the functionality natively.Anyway, I did get it up and running but never did much with it, thus setting the tone for future SBC endeavors. No photos because I gave it to another tech enthusiast years ago, whose SBC collection dwarfs my own.
ODROID-XU4
I can’t recall exactly when or how I first encountered the ODROID brand. I probably read about it on some enthusiast page or another circa 2014 and decided to try one out. I eventually acquired a total of 3 of these ODROID-XU4 units, each with a different case, 1 with a fan and 2 passively-cooled :This is based on the Samsung Exynos 5422 SoC, the same series as was used in their Note 3 phone released in 2013. It has been a fun chip to play with. The XU4 was also my first introduction to the eMMC storage solution that is commonly supported on the ODROID SBCs (alongside micro-SD). eMMC offers many benefits over SD in terms of read/write speed as well as well as longevity/write cycles. That’s getting less relevant these days, however, as more and more SBCs are being released with direct NVMe SSD support.
I had initially wanted to make a retro-gaming device built on this platform (see the handheld section later for more meditations on that). In support of this common hobbyist goal, there is this nifty case XU4 case which apes the aesthetic of the Nintendo N64 :
It even has a cool programmable LCD screen. Maybe one day I’ll find a use for it.
For awhile, one of these XU4 units (likely the noisy, fan-cooled one) was contributing results to the FFmpeg FATE system.
While it features gigabit ethernet and a USB3 port, I once tried to see if I could get 2 Gbps throughput with the unit using a USB3-gigabit dongle. I had curious results in that the total amount of traffic throughput could never exceed 1 Gbps across both interfaces. I.e., if 1 interface was dealing with 1 Gbps and the other interface tried to run at 1 Gbps, they would both only run at 500 Mbps. That remains a mystery to me since I don’t see that limitation with Intel chips.
Still, the XU4 has been useful for a variety of projects and prototyping over the years.
ODROID-HC2 NAS
I find that a lot of my fellow nerds massively overengineer their homelab NAS setups. I’ll explore this in a future post. For my part, people tend to find my homelab NAS solution slightly underengineered. This is the ODROID-HC2 (the “HC” stands for “Home Cloud”) :It has the same guts as the ODROID-XU4 except no video output and the USB3 function is leveraged for a SATA bridge. This allows you to plug a SATA hard drive directly into the unit :
Believe it or not, this has been my home NAS solution for something like 6 or 7 years now– I don’t clearly remember when I purchased it and put it into service.
But isn’t this sort of irresponsible ? What about a failure of the main drive ? That’s why I have an external drive connected for backing up the most important data via rsync :
The power consumption can’t be beat– Profiling for a few weeks of average usage worked out to 4.5 kWh for the ODROID-HC2… per month.
ODROID-C2
I was on a kick of ordering more SBCs at one point. This is the ODROID-C2, equipped with a 64-bit Amlogic SoC :I had this on the FATE farm for awhile, performing 64-bit ARM builds (vs. the XU4’s 32-bit builds). As memory serves, it was unreliable and would occasionally freeze up.
Here is a view of the eMMC storage through the bottom of the translucent case :
ODROID-N2+
Out of all my ODROID SBCs, this is the unit that I long to “get back to” the most– the ODROID-N2+ :Very capable unit that makes a great little desktop. I have some projects I want to develop using it so that it will force me to have a focused development environment.
Raspberry Pi
Eventually, I did break down and get a Raspberry Pi. I had a specific purpose in mind and, much to my surprise, I have stuck to it :I was using one of the ODROID-XU4 units as a VPN gateway. Eventually, I wanted to convert the XU4 to something else and I decided to run the VPN gateway as an appliance on the simplest device I could. So I procured this complete hand-me-down unit from eBay and went to work. This was also the first time I discovered the DietPi distribution and this box has been in service running Wireguard via PiVPN for many years.
I also have a Raspberry Pi 3B+ kicking around somewhere. I used it as a Steam Link device for awhile.
SOPINE + Baseboard
Also procured when I was on this “let’s buy random SBCs” kick. The Pine64 SOPINE is actually a compute module that comes in the form factor of a memory module.Back to using Allwinner SoCs. In order to make this thing useful, you need to place it in something. It’s possible to get a mini-ITX form factor board that can accommodate 7 of these modules. Before going to that extreme, there is this much simpler baseboard which can also use eMMC for storage.
I really need to find an appropriate case for this one as it currently performs its duty while sitting on an anti-static bag.
NanoPi NEO3
I enjoy running the DietPi distribution on many of these SBCs (as it’s developed not just for Raspberry Pi). I have also found their website to be a useful resource for discovering new SBCs. That’s how I found the NanoPi series and zeroed in on this NEO3 unit, sporting a Rockchip SoC, and photographed here with some American currency in order to illustrate its relative size :I often forget about this computer because it’s off in another room, just quietly performing its assigned duty.
MangoPi MQ-Pro
So far, I’ve heard of these fruits prepending the Greek letter pi for naming small computing products :- Raspberry – the O.G.
- Banana – seems to be popular for hobbyist router/switches
- Orange
- Atomic
- Nano
- Mango
Okay, so the AtomicPi and NanoPi names don’t really make sense considering the fruit convention.
Anyway, the newest entry is the MangoPi. These showed up on Ameridroid a few months ago. There are 2 variants : the MQ-Pro and the MQ-Quad. I picked one and rolled with it.
When it arrived, I unpacked it, assembled the pieces, downloaded a distro, tossed that on a micro-SD card, connected a monitor and keyboard to it via its USB-C port, got the distro up and running, configured the wireless networking with a static IP address and installed sshd, and it was ready to go as a headless server for an edge application.
The unit came with no instructions that I can recall. After I got it set up, I remember thinking, “What is wrong with me ? Why is it that I just know how to do all of this without any documentation ?”
Only after I got it up and running and poked around a bit did I realize that this SBC doesn’t have an ARM SoC– it’s a RISC-V SoC. It uses the Allwinner D1, so it looks like I came full circle back to Allwinner.
So I now have my first piece of RISC-V hobbyist kit, although I learned recently from Kostya that it’s not that great for multimedia.
Handheld Gaming Units
The folks at Hardkernel have also produced a series of handheld retro-gaming devices called ODROID-GO. The first one resembled the original Nintendo Game Boy, came as a kit to be assembled, and emulated 5 classic consoles. It also had some hackability to it. Quite a cool little device, and inexpensive too. I have since passed it along to another gaming enthusiast.Later came the ODROID-GO Advance, also a kit, but emulating more devices. I was extremely eager to get my hands on this since it could emulate SNES in addition to NES. It also features a headphone jack, unlike the earlier model. True to form, after I received mine, it took me about 13 months before I got around to assembling it. After that, the biggest challenge I had was trying to find an appropriate case for it.
Even though it may try to copy the general aesthetic and form factor of the Game Boy Advance, cases for the GBA don’t fit this correctly.
Further, Hardkernel have also released the ODROID-GO Super and Ultra models that do more and more. The Advance, Super, and Ultra models have powerful SoCs and feature much more hackability than the first ODROID-GO model.
I know that the guts of the Advance have been used in other products as well. The same is likely true for the Super and Ultra.
Ultimately, the ODROID-GO Advance was just another project I assembled and then set aside since I like the idea of playing old games much more than actually doing it. Plus, the fact has finally crystalized in my mind over the past few years that I have never enjoyed handheld gaming and likely will never enjoy handheld gaming, even after I started wearing glasses. Not that I’m averse to old Game Boy / Color / Advance games, but if I’m going to play them, I’d rather emulate them on a large display.
The Future
In some of my weaker moments, I consider ordering up certain Banana Pi products (like the Banana Pi BPI-R2) with a case and doing my own router tricks using some open source router/firewall solution. And then I remind myself that my existing prosumer-type home router is doing just fine. But maybe one day…The post My SBC Collection first appeared on Breaking Eggs And Making Omelettes.