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Your online personal data has a guardian angel 🚀 Welcome to the World of Data Innovation! 🌐 Passionate about Data Science, Data Analytics, AI, and Machine Learning? You've arrived at the perfect destination! 🚀 Embark on an enriching journey with me, filled with valuable insights and dynamic discussions that unravel the transformative power of data. 💡✨ 🔗 Follow the Adventure Here: https://lnkd.in/dkMB_3mq 🔗 📊 Unlocking Insights Through: 🔍 Data Science 🔍 Data Analytics 🔍 Artificial Intelligence 🔍 Machine Learning 🌟🚀🌐 Ready to dive into the future of technology and embrace data-driven excellence? 😃 Click here 👉 https://lnkd.in/dhFWzR8m 👈 to follow and stay ahead of the curve! Let's embark on an exciting journey towards professional growth and innovation! 🚀🌐 I'm actively seeking opportunities to contribute to real-world data science projects through collaboration with teams and individuals. With a focus on fortifying organizations and expanding my professional horizons, I aim to leverage my expertise to make a meaningful impact. I'm particularly interested in impactful, hands-on projects that enhance my skill set and open doors for future career prospects. If you have ongoing or upcoming projects that align with my expertise and availability, I would welcome the chance to explore potential collaborations. Let's connect and mutually benefit from the exchange of knowledge and skills. 🤝🌍 🌟 Top Hashtags : #UAE #Dubai #DataScience #DataAnalytics #MachineLearning #AI #BigData #Analytics #DeepLearning #DataScientist #DataVisualization #Statistics #DataMining #Python #DataEngineering #IT #BusinessIntelligence #SQL #data #careers #DataManagement #DataQuality #DataInsights #Success #TechUAELeaders #TechSolutions #UAEInnovation #TechIndustry #TechLeadersUAE #UAEStartups #Networking #ProfessionalGrowth #technology #Creativity #leadership #innovation #business #robotics #tableau #healthcare #project #export #success #industry #exports #visualization #businessandmanagement #businessintelligencetools #computersoftware #businessanalyst #intelligence #artificialintelligence #powerbi #storytelling #businessanalytics 🏢 Connecting with the Giants: #Microsoft #Google #Amazon #Apple #IBM #Meta #Cisco #Intel #Oracle #Adobe #HP #Dell #Etisalat #Emirates #careem 💡✨ Explore Career Opportunities: Eager to advance my career! Let's network and navigate the exciting world of data together! 💡✨ 🌐 Stay Tuned for Cutting-Edge Insights and Industry Trends! 🌐

Check this out: An inventory of how customers leverage Snowflake features yields exciting finds. The use of governance features has increased between 70-100%, and queries of privacy protected data has increased by 142%. Proper governance gives the peace of mind to allow companies to derive insights and value from their sensitive data. https://lnkd.in/dvXMYMRg

Populated the Job Market dashboard with new data: https://lnkd.in/gzBYZfUE Insights: - Washington DC dominates the new data positions in the US. However, when we combine San Jose and San Francisco, they surpass DC. - San Jose has more new positions than San Francisco. - Machine Learning (ML) is a rising trend. Update: - Added a filter by Company Type: "FAANG", "BigTech", "Hedge Fund", "FinTech", "US Tech Banks", "Other" (tabs "Hiring Companies" and "Job Details"). - Began capturing positions associated with "Machine Learning". #data #analytics #job #hiring #engineer #project #linkedin #cloud #remotejobs #tableau #ml

Good Afternoon One and all. * GOOGLE DORKS :Google dorks are search queries that use advanced operators to find specific information on Google. They can be used for various purposes, including website analysis, vulnerability assessment, and finding sensitive information exposed online. Examples include searching for specific file types, website vulnerabilities, or even usernames and passwords accidentally exposed on the internet. However, it's important to use Google dorks ethically and legally, respecting privacy and security guidelines. METHODS : here's a basic overview of the method for using Google dorks. 1. Understand Advanced Operators : Google dorks rely on advanced search operators such as site , intitle , filetype, etc. 2. Craft Your Query : Think about what information you're trying to find and how you can structure your query using the advanced operators. 3. Execute the Search : Enter your crafted query into the Google search bar and hit enter. Google will return results based on your specified criteria. 4. Refine Your Search : Depending on the results you get, you may need to refine your query to narrow down the results further. 5. Analyze Results : Once you have your results, carefully analyze them to find the information you're looking for. 6. Use Responsibly : Always use Google dorks ethically and legally. Avoid accessing or exploiting any sensitive or private information. AUTOMATION :Automating Google dorks typically involves using scripts or specialized tools to systematically perform searches with predefined queries and parameters. Here's a basic outline 1. Scripting or Programming : Write a script or program in a language like Python, JavaScript, or Bash to interact with Google's search engine. You can use libraries like requests in Python to send HTTP requests to Google's search interface. 2. Define Dork Queries : Within your script, define the dork queries you want to use. This involves specifying the search terms, operators. 3. Send Requests : Use your script to send search requests to Google's search interface, passing in your predefined dork queries as parameters. 4. Parse Results : Once you receive search results from Google, parse the HTML or JSON response to extract relevant information. 5. Handle Pagination : If your search returns multiple pages of results, implement logic in your script to handle pagination and retrieve subsequent pages of results. 6. Analyze Results : Process the extracted information as needed, such as saving it to a file, performing further analysis. 7. Error Handling : Implement error handling in your script to handle cases like network errors, rate limiting, or unexpected responses from Google. 8. Ethical Considerations : Ensure that your automated Google dorks comply with Google's terms of service and respect the privacy and security of the websites. 9. Testing and Refinement : Test your script thoroughly to ensure it behaves as expected.

I've covered the next segment of the Google Data Analytics Specialization. "Prepare Data For Exploration" is a great introduction to the world of metadata, spreadsheets, and SQL. There is also a lot of useful information and terms regarding sorting and organizing data, such as naming conventions or foldering. A pretty big segment of this module is devoted to discussing the differences between biased and unbiased data, data security, and privacy. Having already worked a lot with large datasets and metadata, the most useful and interesting part for me, personally, was the one devoted to SQL. I'm definitely hungry for more, and I feel that this is just the beginning of a wonderful journey :) Can't wait to learn more!

One of the fastest-growing #PrivacyEnhancingTechnologies this year is Differential Privacy (DP). Unlike other technologies, DP requires more than just the skills of developers. It also requires the data user to understand how to interact with the data. Nothing makes learning better than practice, and Antigranular gives you the platform to practice it. I'm not a data engineer, but after spending a day playing with it, I already learned a lot about the application of DP. #cloudsecurity #dataprivacy #dataprotection

Explore the future of web scraping in our latest blog post where our industry expert Arun Ashok delves into the critical issues of data privacy and ownership in 2024. Discover how these challenges are shaping the web scraping industry and what it means for businesses leveraging big data. Learn more: https://bit.ly/42X3hVK

Explore the future of web scraping in our latest blog post where our industry expert Arun Ashok delves into the critical issues of data privacy and ownership in 2024. Discover how these challenges are shaping the web scraping industry and what it means for businesses leveraging big data. Learn more: https://bit.ly/49iHBFd #WebScraping #DataPrivacy #TechTrends #BigData

Day 6 of my journey in becoming a data analyst ✨✨ Today's topic was on Data Ethic Data Ethic is a well founded standards of right and wrong that dictate how data is collected, shared and used. The main six aspects of data ethics includes; 1. Ownership:This refers to the question of who has the rights to control and benefit from the data. It involves determining whether data belongs to the individuals it's about, the organizations that collect it, or society at large. 2. Transaction Transparency:This involves making sure that the data collection and usage processes are clear and understandable to individuals. It's about providing transparency in how data is collected, used, and shared, so people can make informed decisions. 3. Consent: Consent means that individuals should provide explicit permission for their data to be collected, used, and shared. It emphasizes giving people the choice and control over their personal information. 4. Currency: This aspect deals with acknowledging the value of data and ensuring that individuals, especially those who generate the data, receive fair compensation or benefits for its use. 5. Privacy: Privacy refers to safeguarding personal data from unauthorized access and protecting individuals from potential harm. It involves implementing measures to ensure that data is stored and processed securely. Data anonymization is a process that involves removing or altering certain information from a dataset to prevent the identification of individuals while maintaining the data's usability for analysis. It's a crucial technique to balance the need for data analysis with individual privacy. In anonymization, personally identifiable information (PII), such as names, addresses, and phone numbers, are removed or transformed into a state where they cannot be linked back to a specific person. This minimizes the risk of re-identification. 6. Openness: Openness implies making data accessible for review and analysis while respecting privacy. It encourages transparency, collaboration, and accountability in data usage. Sources and resources of open data includes; - U.S government data sites - U.S census Bureau - Open data network - Google cloud public dataset - Dataset search That's all for today, hope you learnt something ❤️✨✨ #data #dataanalytics #dataethics #100days #Google #Googledataanalytics

Just came across an interesting read about how Pinterest is using Text-to-SQL technology to streamline their data querying processes. It got me thinking about the potential applications of this tech in fraud risk management. Here's how something similar could make a significant difference: 1. Quick Data Access for Everyone : Imagine being able to ask your database a simple question like, "Which transactions this month were over $10,000?" and getting an immediate answer. This could be a game changer in speeding up fraud detection, making it accessible even for those without technical know-how. 2. Attention to Detail : This technology doesn't just retrieve data; it understands the nuances of your queries. For example, it automatically adjusts search terms to fit the data’s actual format, like changing 'web' to 'WEB'. This kind of precision can be crucial when you're trying to uncover fraud. 3. Smart Data Selection : With vast amounts of data, finding the right information quickly is critical. Text-to-SQL can use historical query data to suggest the most relevant tables for your current question. This can significantly reduce the time spent hunting through irrelevant data, allowing quicker responses to potential fraud. 4. Real-Time Responses: In fraud detection, time is often of the essence. The ability to stream SQL query results instantly means that as soon as you ask a question, you're beginning to see answers. This could dramatically shorten the time between detecting potential fraud and taking action. 5. Continuous Learning and Improvement: The more this technology is used, the smarter it gets. It adapts to your needs, learning from past queries to provide more accurate and relevant data over time. It's like having a system that evolves, becoming an increasingly valuable asset in your fraud prevention toolkit. It’s exciting to think about the possibilities of applying this tech beyond its original scope, especially in critical areas like fraud prevention. Could this be a glimpse into the future of risk management technology? #DataScience #FraudPrevention #TechnologyInnovation #RiskManagement #SQL #AI Source Article ⬇ https://lnkd.in/gP8adSWc