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Hello Everyone, Title: Lead Data Warehouse Developer, lead experience, polished, sharp, professional. Location: Deerfield Beach, FL - Hybrid (3 days - WED is a must) C2C or W2 (No H1B's) TECHNICAL SKILLS Azure strength Azure Dev ops Azure synapse Sql strong Lead experience Will work on the business side Must map documents and run queries Documentation Must roll up sleeves Hybrid onsite They'll be getting requirements changes all the way through 2026. Lots to prep prior to the change. Understand the data and how it's structure Mapping and research and query work initially. So the initial work may not be leading, just coming up to speed before the rest of the team joins in 2025.Then testing will be in 2027 People leader, tech resource RUNNING AGILE SOMEONE WHO CAN GET ON TRACK FLEXIBLE AND NO ONE OVERSEEING THEM EXCEPTWORK ON THIS MAPPING DOCUMENT Familiar with Azure. Synapse a plus Agile process Strong SQL, oversee the team that bringing on the business side. Engineering data through view dev, tables, research and validation of the data. Guide the team, keep calm, lot thrown out us Project through 2027-2028. Hit on multiple sides, things last minute to adjust to Stay calm in fire, be creative. Not afraid to do something that might not be their job. Run queries to validate data [point person for business users, contractors. Relieve manager from day to day roadblacks issues etc. They're converting from mainframe to cloud with vendor application. Combine different apps in one datawarehouse Changing structure of data. Convert everything to fit the new structure, how to be creative about it. How do we provide the data for the reporting team to build solutions New system has no reporting. Need to provide the info so they can build out the reporting. Please share resumes at kiran.vaddi@3coresystems.com M: (512) 537-4334 |O: (630) 748- 8800 Ext: 129 #LeadDataWarehouseDeveloper #DataWarehouse #Developer #DataEngineer #LeadDataEngineer #Azure #SQL #Hybrid #c2c #W2 #job #DataWarehouseDeveloper #LeadDataWarehouse
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Solution Architect @ Ford Credit - Pursuing ARTIFICIAL INTELLIGENCE AND DATA SCIENCE in SRM | GenAI Advisor | GCP,AWS, Azure Cloud ,SafeAgile,IoT, Edge AI Industry 4.0 | IoT Advisor | Design&Implmt Architecture for IoT
📌 𝗨𝗽𝗱𝗮𝘁𝗲 𝗟𝗼𝗰𝗸 (𝗨 𝗟𝗼𝗰𝗸) 𝗶𝗻 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 💠 𝗗𝗲𝗳𝗶𝗻𝗶𝘁𝗶𝗼𝗻: An Update Lock (U Lock) is a type of lock in databases that is used when a row or a page is being read with the intention of updating it later. This type of lock prevents other transactions from acquiring exclusive locks on the same data, which helps in avoiding deadlocks. 📌 𝗔𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀: 1. 𝗗𝗲𝗮𝗱𝗹𝗼𝗰𝗸 𝗣𝗿𝗲𝘃𝗲𝗻𝘁𝗶𝗼𝗻: - By holding a U Lock during the read phase before an update, the system reduces the chances of deadlocks. This is because U Locks prevent other transactions from obtaining an exclusive lock on the same data. 2. 𝗗𝗮𝘁𝗮 𝗖𝗼𝗻𝘀𝗶𝘀𝘁𝗲𝗻𝗰𝘆: - U Locks ensure that the data being read for update remains consistent and is not modified by other transactions until the update is complete. This maintains data integrity. 3. 𝗜𝗺𝗽𝗿𝗼𝘃𝗲𝗱 𝗖𝗼𝗻𝗰𝘂𝗿𝗿𝗲𝗻𝗰𝘆: - U Locks allow multiple transactions to read the same data simultaneously, as long as they are not trying to update it. This improves overall system concurrency and performance. 4. 𝗘𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆: - U Locks are less restrictive than exclusive locks, allowing more transactions to proceed concurrently, which enhances the efficiency of database operations. 📌 𝗗𝗶𝘀𝗮𝗱𝘃𝗮𝗻𝘁𝗮𝗴𝗲𝘀: 1. 𝗖𝗼𝗺𝗽𝗹𝗲𝘅𝗶𝘁𝘆: - Implementing and managing U Locks adds complexity to the database management system. Developers and database administrators need to understand and correctly apply these locks to avoid issues. 2. 𝗣𝗼𝘁𝗲𝗻𝘁𝗶𝗮𝗹 𝗳𝗼𝗿 𝗕𝗹𝗼𝗰𝗸𝗶𝗻𝗴: - While U Locks reduce deadlocks, they can still cause blocking situations. For instance, if multiple transactions hold U Locks and then try to upgrade to exclusive locks, it can lead to blocking. 3. 𝗣𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗢𝘃𝗲𝗿𝗵𝗲𝗮𝗱: - There is a performance overhead associated with managing locks, including U Locks. This overhead can impact the system, especially in environments with high transaction volumes. 4. 𝗟𝗶𝗺𝗶𝘁𝗲𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝗯𝗶𝗹𝗶𝘁𝘆: - U Locks are most beneficial in scenarios where transactions frequently transition from reading to updating data. In other contexts, their advantages may not be as significant. #systemdesign #db #dbmanagement
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AI & Data Marketing Maven: Turning Your Tech into Talk with a Dash of Humor and a Heap of Results – Let's Connect!
Uncover the secrets to managing, securing, and optimizing databases in a role that’s crucial, challenging, and chock-full of opportunities. Read more 👉 https://lttr.ai/ATRvZ #DatabaseAdministrator #NerveCenter #InformationTechnology #CareerPathBeckons #LongTermGoals·Faqs #RoleThatSCrucial #·DailyResponsibilities #DatabaseAdministratorToday #DatabaseAdministratorRole· #OrganizationSDataStrategy
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Hello Everyone, Looking for.... Only USC or GC, Need Locals or who can relocate Title: Data Analyst With Data Migration Exp Location: Deerfield Beach, Florida - Hybrid Duration 6 months+ MUST NEED: · Data migration and conversion of Data from Mainframes to Azure · Strong in Azure SQL · Strong in Data Validation and Data Extraction Must need: Data quality work closely on the data migration and SME on the business side. Look at data to see if they want to convert all the data. How many distinct values? Maybe we don’t need all of them. The project is a migration from the mainframe to another tool. This role will help with data migration. Look at data on the mainframe, data quality, and opportunities for improvement. Business rules, to convert data Extract data Data validation Query the source and target Run validations to make sure data was moved properly Reconciliation Strong SQL, need to be able to write SQL Azure SQL is a big plus (azure will be the source for the conversions) Talk to businesses, about their findings, asking for guidance, such as do you want to covert all this data, etc. Convert data from one system to another. It’s not determined yet. Staging data in Azure/Cloud. Please share your resumes at kiran.vaddi@3coresystems.com #DataAnalyst #Analyst #Migration #Azure #DataMigration #SQL #jobs #C2C #W2
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As a database admin, I've witnessed firsthand the power of data in driving informed decision-making and business success. Whether it's optimizing query performance, ensuring data security, or implementing innovative solutions, the role of a database admin is crucial in today's data-driven world. I'm passionate about staying ahead of the curve and embracing new technologies to empower organizations with actionable insights. Let's connect and discuss how data can be leveraged to unlock new opportunities and drive growth. #DatabaseAdmin #DataManagement #TechInnovation
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𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐋𝐨𝐜𝐤𝐢𝐧𝐠: 𝐓𝐡𝐞 𝐁𝐚𝐬𝐢𝐜𝐬 𝟏. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐋𝐨𝐜𝐤𝐢𝐧𝐠? Database locking restricts access to a database resource (such as a table or row) to prevent conflicts and ensure data consistency. It is particularly important in environments where multiple users or applications might try to read or write to the same data simultaneously. 𝟐. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐋𝐨𝐜𝐤𝐬 - 𝐒𝐡𝐚𝐫𝐞𝐝 𝐋𝐨𝐜𝐤𝐬 (𝐒-𝐋𝐨𝐜𝐤𝐬): • Used for read-only operations. • Multiple transactions can hold shared locks on the same resource concurrently. - 𝐄𝐱𝐜𝐥𝐮𝐬𝐢𝐯𝐞 𝐋𝐨𝐜𝐤𝐬 (𝐗-𝐋𝐨𝐜𝐤𝐬): • Used for write operations. • Only one transaction can hold an exclusive lock on a resource at a time. - 𝐈𝐧𝐭𝐞𝐧𝐭 𝐋𝐨𝐜𝐤𝐬: • Indicate a transaction's intention to acquire specific locks. • Help manage complex transactions involving hierarchical locking. 𝟑. 𝐖𝐡𝐲 𝐋𝐨𝐜𝐤𝐢𝐧𝐠 𝐢𝐬 𝐈𝐦𝐩𝐨𝐫𝐭𝐚𝐧𝐭 • Data Integrity: Prevents conflicting operations, ensuring data remains accurate and reliable. • Consistency: Ensures that all transactions see a consistent state of the database, adhering to ACID properties. • Concurrency Control: Balances the need for concurrent access with the need to prevent conflicts. 𝟒. 𝐄𝐱𝐚𝐦𝐩𝐥𝐞 𝐒𝐜𝐞𝐧𝐚𝐫𝐢𝐨 Imagine two users trying to update the same record simultaneously. Without proper locking, these updates could interfere, leading to data corruption. With appropriate locking, one user’s update completes before the other begins, preserving data integrity. Understanding the basics of database locking is essential for any database professional. Stay tuned for more advanced topics and best practices in my next post! #wecommit100xshare #DatabaseManagement #DataIntegrity #ConcurrencyControl #SQL #TechTips
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One of the perks of hiring an MSP instead of a FTE is having a deep bench. You dont get just 1 DBA with their limited experience. You also get: ✔️Cloud experts ✔️Analytics specialists ✔️Security advisors ✔️Data Architects ✔️Performance and Tuning specialists ✔️Anything else you could ask for in a DBA Talk to us before adding to your headcount.Don't limit your knowledge base and skillsets. Get an entire team for less than the cost of an FTE. #dba #data #msp #teamwork
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Senior Data Engineer @ABInBev | Generative-AI | Blogger @towardsdataengineering and @towardsdev | Mentor
Hello Everyone, 🎤 Here is the list of Most challenging questions on databases asked in 2024 🔅 - You are tasked with optimizing a database that has grown to several terabytes in size. Outline the steps you would take to improve its performance. - Explain the concept of concurrency control in databases. How would you ensure data consistency in a multi-user environment? - Describe the concept of database sharding and how it can be implemented to improve scalability. - Discuss different strategies for data partitioning in a distributed database system. When would you use each strategy? - Explain the purpose of database replication. What are the different types of replication and their advantages? - How would you ensure data security in a database? Discuss the role of encryption in securing sensitive data. - Outline a comprehensive backup and recovery strategy for a large-scale database system. - What techniques would you use to identify and resolve performance bottlenecks in a database? - How would you handle schema changes in a database that is actively used by multiple applications? - Discuss the importance of data archiving in a database system. How would you implement an archiving strategy? - Discuss the challenges and approaches to data modeling for multi-tenant applications, where multiple clients share the same database instance. - How does data modeling differ when designing databases for real-time analytics compared to traditional batch processing? Provide examples. - Describe the challenges and considerations in data modeling for GIS applications. How do spatial databases handle geographic data? - Explain the concept of database locking and its role in ensuring data consistency. Discuss different types of locks and their compatibility. - How can database caching improve performance? Discuss different caching strategies and their implementation. #JobSearch #Hiring #InterviewTips #CareerAdvice #JobOpening #Recruitment #JobHunt #ResumeTips #JobInterview #Employment #HR #Recruiting #JobAlert #JobPosting #CareerDevelopment #JobSeekers #InterviewPrep #HiringNow #JobTips #JobSearchTipshashtag #JobSearchTips
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What are the differences among database locks? 🔐 Navigating through database locks can be complex, but it's essential for maintaining performance. Here's 9️⃣ types of database locks you should know! 1️⃣ Shared Lock (S Lock): Allows multiple transactions to read a resource simultaneously without modification. 2️⃣ Exclusive Lock (X Lock): Grants both read and write access, ensuring only one transaction can modify a resource at a time. 3️⃣ Update Lock (U Lock): Prevents deadlocks when a transaction intends to update a resource. 4️⃣ Schema Lock: Protects the structure of database objects during schema modifications. 5️⃣ Bulk Update Lock (BU Lock): Improves performance during bulk insert operations by reducing the number of locks needed. 6️⃣ Key Range Lock: Prevents phantom reads in indexed data during transactions. 7️⃣ Row-Level Lock: Locks a specific row, allowing other rows to be accessed concurrently. 8️⃣ Page-Level Lock: Locks a specific page of data, balancing between row-level and table-level locks. 9️⃣ Table-Level Lock: Locks an entire table, reducing concurrency but ensuring complete data integrity for the table. Source: ByteByteGo 👉 Interested in managing data security? Check out our new role of Data Custodian at ManningGlobal.com for an easy application process! 👈 #DatabaseManagement #DataAnalytics #IT #Tech #DataIntegrity #TechTips #ManningGlobal
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Chief Database Architect | Distributed Systems & High-Availability Expert | Driving Innovation in Scalable Data Solutions for Over a Decade
As companies strive to innovate faster, the critical role of database professionals is often overlooked. According to 2024 Stack Overflow Developer Survey (https://lnkd.in/gVnN8zDj), full-stack developers make up 30.7% and back-end developers 16.7%, while DBAs account for only 0.3%. This disparity speaks to a much larger challenge: 𝐭𝐡𝐞 𝐝𝐞𝐦𝐚𝐧𝐝 𝐟𝐨𝐫 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐟𝐚𝐫 𝐨𝐮𝐭𝐩𝐚𝐜𝐞𝐬 𝐭𝐡𝐞 𝐚𝐯𝐚𝐢𝐥𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐟 𝐭𝐡𝐨𝐬𝐞 𝐰𝐡𝐨 𝐞𝐧𝐬𝐮𝐫𝐞 𝐨𝐮𝐫 𝐝𝐚𝐭𝐚 𝐫𝐞𝐦𝐚𝐢𝐧𝐬 𝐬𝐞𝐜𝐮𝐫𝐞, 𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐭, 𝐚𝐧𝐝 𝐫𝐞𝐥𝐢𝐚𝐛𝐥𝐞. Database experts - whether DBAs, architects, or engineers - are more than just administrators. 𝐓𝐡𝐞𝐲 𝐚𝐫𝐞 𝐭𝐡𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐥𝐢𝐧𝐤 between the fast-paced world of development and the ever-vigilant needs of operations. They not only approve schemas or handle migrations but also ensure that innovation can coexist with stability, speed with security. For companies to thrive, they should see their data experts as architects and strategists who can guide the business forward. It’s not about avoiding bottlenecks but about creating alignment between R&D and Operations, ensuring that systems scale effectively while maintaining the highest standards of reliability. 𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐛𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐬𝐮𝐜𝐜𝐞𝐬𝐬 𝐥𝐢𝐞𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐛𝐚𝐥𝐚𝐧𝐜𝐞 𝐛𝐞𝐭𝐰𝐞𝐞𝐧 𝐢𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐬𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲 - 𝐚𝐧𝐝 𝐭𝐡𝐚𝐭’𝐬 𝐰𝐡𝐞𝐫𝐞 𝐬𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐜 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐥𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩 𝐜𝐨𝐦𝐞𝐬 𝐢𝐧. #databasearchitect #database #databases #operations #DBA #leadership #collaboration #techstrategy #businessgrowth
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