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Snowflake Interview Question. Part 5:Advanced Techniques and Miscellaneous. Asked in #Epam, #Cisco, #Kipi.bi #TCS #Infosys 18. How to exclude double quotes in the file format of Snowflake? 19. What happens to compute in Snowflake? 20. What is the cost computation for cloning in Snowflake? 21. Limitations in a Reader account in Snowflake? 22. How to change the sequence number in Snowflake? 23. How to alter the auto concrete in Snowflake? 24. Syntax to change the datatype in Snowflake? 25. What are the credits for each warehouse in Snowflake? 26. What are credits in Datawarehouse? 27. Different types of credits in Snowflake? 28. Errors we get when loading files to Snowflake tables? 29. How to eliminate the entire row duplicate in the flat file of Snowflake? 30. How to retain one unique record and delete duplicates in Snowflake tables? 31. How to check the long-running step in SQL at Snowflake? 32. What are the limitations we have in using SQL language in Snowflake Java scripts? 33. How to integrate and share data between Unix and Snowflake using SnowSQL on Unix? 34. How to load a large volume of data from on-premise to Snowflake? 35. How do you load data into an external stage in S3 in Snowflake? 36. Python in Snowflake? 37. Does lambda function in Snowflake? 38. Use of any ETL tool in Snowflake? Follow Avinash S. Get Interview Resources: https://lnkd.in/dCcD-kBt Get SQL, Python, Snowflake(25% OFF) https://lnkd.in/dRehzivv

💡 Snowflake ETL Tip: Utilize Snowflake External Functions for Advanced Data Processing! 🛠️ Enhance the capabilities of your ETL workflows in Snowflake by leveraging External Functions. Snowflake External Functions enable you to execute code written in programming languages like Python or JavaScript directly within Snowflake, allowing for custom data transformations and advanced processing tasks. Here's an example code snippet demonstrating how to create and use an External Function in Snowflake: -- Register an External Function for data enrichment CREATE OR REPLACE EXTERNAL FUNCTION enrich_data(input_string STRING) RETURNS STRING API_LANGUAGE = PYTHON AS 'return input_string.upper()'; -- Execute the External Function on a dataset SELECT enrich_data(column1) AS enriched_column FROM source_table; #Snowflake #ETL #ExternalFunctions #DataProcessing #CustomTransformations #PythonIntegration #AdvancedETL #TechTips #DataEnrichment #LORSIVTechnologies By incorporating Snowflake External Functions into your ETL process, you can extend the functionality of Snowflake by integrating custom logic for diverse data processing requirements. Share your feedback on using External Functions or tag a colleague interested in advanced data processing techniques! Don't forget to follow #LORSIVTechnologies for more Snowflake and ETL tips and insights!

Job Title- Data Engineer Location – San Diego, CA Responsibilities Top 5 Required Skills 1. AWS 2. Data Engineering 3. SQL 4. Python 5. Informatica • Implement data pipelines using tools such as Apache Airflow, AWS Glue, Redshift, S3, Python, and Informatica Cloud. • Facilitate communication within and outside the project team to resolve conflicts related to implementation schedules, design complexities, and other challenges. Good to have qualifications • Experience in Data Engineering leveraging AWS Redshift, S3, Glue, Airflow, Python, SQL and Kubernetes • Familiarity with Informatica Cloud and Informatica Power Center is essential. • Strong expertise in data modeling tools and methodologies, encompassing both structured and unstructured data environments. • Demonstrated experience in data governance, data quality management, and data security practices. #dataengineering #datascience #bigdata #machinelearning #artificialintelligence #dataengineer #dataanalytics #bigdataanalytics #data #python #coding #deeplearning #programming #analytics #ai #pythonprogramming #hadoop #dataanalysis #datavisualization #businessintelligence #datawarehouse #sql #datasciencetraining #bi #bigdataanalysis #technology #datascientist #datamanagement #programminglife #pythonlearning #dataanalyst #dataanalytics #datascience #data #machinelearning #bigdata #datascientist #datavisualization #artificialintelligence #python #analytics #dataanalysis #ai #technology #deeplearning #programming #database #coding #business #dataanalyst #tech #statistics #datamining #pythonprogramming #computerscience #businessintelligence #innovation #iot #ml #dataviz #software

Snowflake provides several different methods to interact with the Snowflake database including Snowsight, SnowSQL and the Snowflake Classic Console. This is an overview of the 3rd-party tools and technologies, as well as the Snowflake-provided clients, in the Snowflake ecosystem. #snowflake #ecosystem #snowsight #snowsql #datawarehouse #datawarehousing #connectors #dataintegration #businessintelligence #bi #security #governance #observability #ml #machinelearning #datascience #DataScientist #DataEngineer #DataAnalyst #r #python #scala #julia #sql #java #datamodeling #datavisualization #bigdata #hadoop #spark #pig #drill #hive #presto #sql #datascientists #dataanalytics #data #datascience #interview #interviewpreparation #interviewprep #database #datawarehouse #datamesh #datalake #dataanalyst #datascientist #data #dataanalytics #datascience #dataskills #dataroles #datainsights #bigdata #statistics #statisticalanalysis #machinelearning #algorithms #datasets #programming #programmingskills #python #sql #r #datamanipulation #datavisualization #mathematics #computerscience #datatrends #predictions #patterns #correlation #businessproblems #decisionmaking #tools #datatools #sas #tensorflow #matplotlib #tableau #sql #excel #excelskills #googlesheets #powerbi #models #datamodels #datamodeling #datamodelling #datadriven #dataskills More info at:

#Hiring 🌟Job Title: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 📍Location: 𝐒𝐮𝐧𝐧𝐲𝐯𝐚𝐥𝐞 , 𝐂𝐀 Please share your resumes to prasad@jnltechnologies.com 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Strong Python development and software design Dremio/Presto/Trino Snowflake (or other data warehouse systems) Tableau Docker & Kubernetes SQL MongoDB Object store (S3) & data lake concepts Git Shell & CLI tools REST APIS Pandas

#Hiring 🌟Job Title: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 📍Location: 𝐒𝐮𝐧𝐧𝐲𝐯𝐚𝐥𝐞 , 𝐂𝐀 Please share your resumes to prasad@jnltechnologies.com 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: Strong Python development and software design Dremio/Presto/Trino Snowflake (or other data warehouse systems) Tableau Docker & Kubernetes SQL MongoDB Object store (S3) & data lake concepts Git Shell & CLI tools REST APIS Pandas

⭐⭐Databricks SQL CheatSheet⭐⭐: ⭐Databricks SQL (DB SQL) is an integral component of the Databricks Lakehouse Platform, offering a serverless data warehouse solution. ⭐With DB SQL, you can execute SQL queries and Business Intelligence (BI) applications efficiently, even at scale. ⭐It boasts up to 12 times better price/performance ratio compared to traditional solutions. ⭐ Furthermore, it embraces a unified governance model, supports open formats and APIs, and allows you to leverage your preferred tools without the fear of vendor lock-in. Post Credits: Devikrishna R 🇮🇳 💎https://lnkd.in/gwGBN2CT #PySpark #DataEngineering #ApacheSpark #BigData #Python #DataProcessing #RealTimeAnalytics #Hadoop #DataInsights #TechSkills #DataDrivenDecisions #DataManagement #DistributedComputing #TechCommunity #LinkedInTopVoice #DataEngineeringTips #DataEngineeringTools #DataEngineeringSkills #DataEngineeringTrends #DataEngineeringCertification #DataEngineeringConsulting #DataEngineeringProjects #DataEngineering #ApacheSpark #BigData #Python #DataProcessing #DataAnalysis #RealTimeAnalytics #Hadoop #DataScience #DataInsights #DataProcessing #DataManagement #DistributedComputing #DataVisualization #TechSkills #InterviewPrep #CareerDevelopment #DataDrivenDecisions #DataManagement #DataEngineeringJourney #DataEngineeringLife #DataEngineering101 #TechCommunity #LinkedInTopVoice #DataEngineeringInsights #DataEngineeringTips #DataEngineeringTools #DataEngineeringSkills #DataEngineeringCareer #DataEngineeringChallenges #DataEngineeringSolutions #DataEngineeringLearning #DataEngineeringCommunity #DataEngineeringPros #DataEngineeringStrategies #DataEngineeringTechniques #DataEngineeringBestPractices #DataEngineeringProfessionals #DataEngineeringExpertise #DataEngineeringKnowledge #DataEngineeringTrends #DataEngineeringCertification #DataEngineeringCourse #DataEngineeringTraining #DataEngineeringBootcamp #DataEngineeringConsulting #DataEngineeringConsultant #DataEngineeringServices #DataEngineeringFirm #DataEngineeringCompany #DataEngineeringProjects #DataEngineeringExperience #InterviewTips

𝗣𝗿𝗲𝗽𝗮𝗿𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 𝗥𝗼𝗹𝗲? 🚀 Here’s a comprehensive checklist of key skills and concepts: 𝗦𝗤𝗟 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: - Advanced SQL: Window functions, CTEs, complex joins - Database design: Normalization, Indexing - NoSQL databases: MongoDB, Cassandra 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀: - Python: Data manipulation (Pandas, NumPy), Scripting, ETL processes - Java/Scala: For big data frameworks 𝗕𝗶𝗴 𝗗𝗮𝘁𝗮 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀: - Apache Hadoop: HDFS, MapReduce - Apache Spark: RDDs, DataFrames, SparkSQL 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗶𝗻𝗴: - Schema design: Star, Snowflake - ETL tools: Apache NiFi, Talend, Informatica 𝗖𝗹𝗼𝘂𝗱 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: - AWS: Redshift, S3, EMR - Azure: Data Lake, Synapse Analytics - Google Cloud: BigQuery, Dataflow 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀 𝗮𝗻𝗱 𝗪𝗼𝗿𝗸𝗳𝗹𝗼𝘄 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: - Apache Airflow, Luigi - Kafka, Apache Beam 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗢𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻: - Docker, Kubernetes 𝗩𝗲𝗿𝘀𝗶𝗼𝗻 𝗖𝗼𝗻𝘁𝗿𝗼𝗹 𝗮𝗻𝗱 𝗖𝗜/𝗖𝗗: - Git, Jenkins 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝗮𝗻𝗱 𝗟𝗼𝗴𝗴𝗶𝗻𝗴: - Prometheus, Grafana, ELK stack ——————————————————————— 📌Follow me Sai Krishna Chivukula for more of such content and opportunities in the fields of #dataengineering #datawarehousing #cloudcomputing and #bigdata #SkillsChecklist #ETL #DataPipelines #SQL #NoSQL #Programming #dataanalytics #datascience #datascientist #Clouddataengineer #CloudDevelopment #azuredataengineer #awsdataengineer #GCPdataengineer