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Bhakti-Aarti- Android app Privacy policy

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 Privacy Policy Effective Date: October 4th, 2025   App Name: Bhakti Aarti   Developer: k3kventures   Contact: sultanmirzadev@gmail.com --- 1. Introduction This Privacy Policy explains how we collect, use, and protect your personal information when you use our Android application "Bhakti Aarti" ("App"). By using the App, you agree to the terms of this Privacy Policy. --- 2. Information We Collect a. Voice Input Our App may request access to your device’s microphone in order to enable voice-based search functionality. When you use this feature: - The app listens only when you activate the voice input manually.   - Your voice input is processed to understand your search query.   - We do not store or share your voice recordings or voice data. Voice data may be processed by Google's speech recognition services (or similar services) if you are using a device with Google Play Services enabled. Please refer to Google’s Privacy Policy at:   https://policies.go...
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unzip a zip file stored on S3 without downloading it

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unzip a zip file stored on S3 without downloading it   AWS S3 is   an object storage , not a file system. Unzipping is not supported directly. You need some computation for unzipping, which can be achieved by copying that file to some  EC2 machine  or use some  Lambda . Let’s connect.. Github: https://github.com/ketankkeshri LinkedIn: https://in.linkedin.com/in/ketankeshri YouTube: https://www.youtube.com/@KetanKKeshri Instagram: https://www.instagram.com/ketankkeshri/ medium: https://medium.com/@ketankkeshri
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Resolve SSL Certificate issue while pip install in Python

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  SSL Certificate issue in python pip If you are facing issues while installing pip packages, $ pip install pandas To resolve it, we need to set the certificate path. 1. Find the Cert path. 2. Set the cert path. 3. Run pip install In MacBook: Find the ssl Path first: Run this command in terminal  $ python -c "import ssl; print(ssl.get_default_verify_paths())" OR $ python3 -c "import ssl; print(ssl.get_default_verify_paths())" It will give output something like this DefaultVerifyPaths(cafile='/opt/homebrew/etc/openssl@3/cert.pem', capath='/opt/homebrew/etc/openssl@3/certs', openssl_cafile_env='SSL_CERT_FILE', openssl_cafile='/opt/homebrew/etc/openssl@3/cert.pem', openssl_capath_env='SSL_CERT_DIR', openssl_capath='/opt/homebrew/etc/openssl@3/certs') Now set this path before running pip command, Run this in your terminal: $ export REQUESTS_CA_BUNDLE="/opt/homebrew/etc/openssl@3/cert.pem" You can set this path in...
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Data Engineering Basics to Advance: Phase-IV- Capstone Projects

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                              Capstone Projects Project Ideas: Batch Pipeline Source: CSV on S3 Process: PySpark/dbt Sink: Redshift/BigQuery Orchestrate: Airflow Streaming Pipeline Source: Kafka (clickstream or logs) Process: Spark Streaming Sink: ElasticSearch or S3 Data Observability Implement Great Expectations Data profiling and alerting Cloud-native Data Lakehouse Glue + Iceberg + Athena + dbt Use partitioning, schema evolution Let’s connect.. Github: https://github.com/ketankkeshri LinkedIn: https://in.linkedin.com/in/ketankeshri YouTube: https://www.youtube.com/@KetanKKeshri Instagram: https://www.instagram.com/ketankkeshri medium: https://medium.com/@ketankkeshri
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Data Engineering Basics to Advance: Phase-III- Advanced

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                                     Advanced opics: Big Data Ecosystem Apache Spark (core, DataFrames, PySpark) Hive/Presto/Athena Hadoop (just architecture overview) Data Lakes & Lakehouses Concepts: data lake, warehouse, lakehouse Table formats:  Apache Iceberg ,  Delta Lake ,  Hudi Glue, Athena, Iceberg setup Streaming Systems Kafka: pub/sub, brokers, partitions Kafka Connect, schema registry Apache Flink or Spark Structured Streaming (basics) Cloud Data Warehouses BigQuery, Redshift, Snowflake: architecture & querying Partitioning, clustering, optimization Monitoring & Observability Logging (CloudWatch, Stackdriver) Data quality with Great Expectations Lineage tools: OpenMetadata, Amundsen Let’s connect.. Github: https://github.com/ketankkeshri LinkedIn: https://in.linkedin.com/in/ketankeshri YouTube: https://www.youtube.com/@KetanKKeshri Instagra...
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Data Engineering Basics to Advance: Phase-II- Intermediate

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                                   Intermediate Topics: Databases Relational (PostgreSQL, MySQL) NoSQL (MongoDB, Redis, Cassandra – intro only) Data warehousing concepts (Star, Snowflake schema) ETL/ELT & Data Pipelines Difference between ETL & ELT Hands-on with tools: Airflow  (or Prefect): DAGs, operators, scheduling dbt : modeling, tests, macros, incremental models Cloud Basics Intro to AWS/GCP/Azure S3, IAM, Lambda, CloudWatch (focus AWS if unsure) Basic infra concepts: VPC, subnets, security File Formats & Serialization CSV, JSON, Avro, Parquet Compression: gzip, snappy Let’s connect.. Github: https://github.com/ketankkeshri LinkedIn: https://in.linkedin.com/in/ketankeshri YouTube: https://www.youtube.com/@KetanKKeshri Instagram: https://www.instagram.com/ketankkeshri medium: https://medium.com/@ketankkeshri
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Data Engineering Basics to Advance: Phase-I- Foundations

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                                   Foundations Topics: Python Programming Basics: variables, loops, functions, OOP Data structures: lists, dicts, sets Working with files, error handling Libraries:  pandas ,  requests ,  json SQL (Structured Query Language) SELECT, WHERE, GROUP BY, JOINS Window functions, CTEs, Subqueries Practice: LeetCode SQL, Mode Analytics SQL Tutorial Data Fundamentals CSV, JSON, Parquet formats Data types, schemas, data quality Basics of data modeling (OLTP vs OLAP) Version Control Git basics, GitHub flow Collaboration, pull requests Let’s connect.. Github: https://github.com/ketankkeshri LinkedIn: https://in.linkedin.com/in/ketankeshri YouTube: https://www.youtube.com/@KetanKKeshri Instagram: https://www.instagram.com/ketankkeshri medium: https://medium.com/@ketankkeshri
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