CSV Archives

Tech Optimizer

July 21, 2026

I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer

The author transitioned from a data analyst role to a data engineer, creating a 12-month self-study roadmap focused on learning by building projects. The first project was a GitHub ETL pipeline, which evolved from a simple Python script to a more complex system using SQLite and GitHub Actions for automation. The author realized that the challenges of data engineering lay in system design and orchestration rather than just writing ETL logic. For the second project, the author built an automated RSS ingestion pipeline to explore engineering decisions in creating a reliable data pipeline. The project emphasized the importance of separating application responsibilities from orchestration tasks, leading to the use of Docker for consistent execution environments and Kestra for orchestration. The author validated each component of the project incrementally: first the Python ETL, then PostgreSQL, followed by Docker, and finally Kestra. This approach ensured that each layer functioned correctly before adding complexity. The final architecture included distinct responsibilities for each component: Python for data processing, PostgreSQL for data storage, Docker for execution, and Kestra for orchestration. The author learned that effective engineering involves considering system reliability, error handling, and observability, shifting the focus from merely writing code to designing entire systems. The experience transformed the author's mindset, emphasizing the importance of incremental building and the separation of execution and orchestration responsibilities.

Winsage

July 20, 2026

Enable BitLocker on Windows 11: 11 Steps, 45 Min [2026]

A stolen laptop can lead to a significant data breach, particularly when taken from public places. Windows 11 has introduced BitLocker, a full-disk encryption feature that became mandatory for Australian businesses in 2026. The Office of the Australian Information Commissioner reported 766 notifiable data breaches in the latter half of 2024, with unauthorized access to devices being a major cause. Full-disk encryption is crucial for compliance with the Essential Eight framework, which mandates data protection on portable devices. BitLocker ensures that data on an encrypted drive becomes unreadable if the drive is removed and connected to another computer. It aligns with the Essential Eight framework, requiring evidence of encryption rather than just claims of protection. There are three types of encryption on Windows 11: Device Encryption, BitLocker Drive Encryption, and File-Level Encryption. BitLocker is available only on Windows 11 Pro and higher editions. To use BitLocker, certain prerequisites must be met, including having Windows 11 Pro or higher, a Trusted Platform Module (TPM) 2.0, UEFI firmware with Secure Boot enabled, and local administrator rights. The process to enable BitLocker involves confirming the edition, checking TPM status, enabling BitLocker through Windows Settings or PowerShell, and backing up the recovery key. Organizations can deploy BitLocker fleet-wide using Microsoft Intune, and additional security measures like TPM+PIN can be implemented for pre-boot authentication. Common pitfalls during BitLocker rollout include skipping recovery key backup and assuming that Home edition machines are covered. Troubleshooting common BitLocker issues involves identifying symptoms and applying appropriate fixes. Advanced tips for enhancing security include suspending BitLocker before maintenance and auditing compliance at the fleet level. BitLocker is integral to protecting data on portable devices, and compliance documentation is essential for proving that every device has an active recovery key.

Winsage

July 10, 2026

StatCounter can’t identify 1 in 5 visits (and it’s skewing everything)

Windows' market share has dropped to 56.61% as of June 2026, falling below the 60% threshold. The "Unknown" category accounts for 21.45% of the market share, while Windows' adjusted market share, excluding unidentified visitors, is 72%. In June 2025, Windows held a 70.13% share, with "Unknown" at 9.17%. Over the past year, Windows' market share decreased from 77.22% to 72%, Linux rose from 4.50% to 5.59%, and Apple increased from 16.90% to 20.87%. As of early July 2026, the "Unknown" segment has surged to 23.67%. StatCounter's data collection has faced inaccuracies, with revisions possible for 45 days. The rise of Linux is noted as a significant trend, influenced by compatibility with Windows games and changes in Windows support.

Tech Optimizer

June 19, 2026

Looking Ahead to Postgres 19

Postgres has introduced new functionalities, including UPDATE and DELETE FOR PORTION OF, enhancing temporal use cases. The expansion of RANDOM() temporal functions is attributed to Paul Ramsey and Greg Sabino Mullane. Version 19 includes performance improvements in the planner and executor components, with contributions from Tom Lane. Key enhancements include refinements in anti-joins and semi-joins, constant folding optimizations, incremental sorting with append paths, enhanced aggregate processing prior to joins, improved join selectivity computation, and more comprehensive function statistics. These changes allow Postgres to better understand query structures, reducing unnecessary processing. The visibility of memoization in EXPLAIN has improved, sort performance has benefited from radix sort, and foreign key constraint checks have become faster. The COPY FROM command can now utilize SIMD instructions. Postgres 19 offers a range of improvements for application developers, operators, performance enthusiasts, and those building on Postgres, including enhanced graph queries, refined SQL syntax, improved window functions, better upsert behavior, REPACK CONCURRENTLY, advancements in autovacuum, improved monitoring capabilities, and new hooks. The release is still in beta, providing an opportunity for testing applications, migration, extensions, execution plans, and maintenance workflows.

Winsage

June 15, 2026

Microsoft released the Windows 11 Secure Boot update for all PCs, how to verify yours

Microsoft has expanded the rollout of the Secure Boot 2023 certificate update to more Windows 11 and Windows 10 devices with the June 2026 Patch Tuesday update (KB5094126). This update aims to ensure that most supported consumer PCs are classified as high confidence, meaning necessary certificates are either installed or will be applied automatically. Secure Boot is a firmware security feature that verifies the software attempting to load during the startup process, blocking unauthorized software. The certificates supporting Secure Boot, issued in 2011, are expiring in stages starting June 24, 2026, prompting Microsoft to deploy replacement certificates. Most home users do not need to take manual action as the updates will occur automatically via Windows Update. Users can check their Secure Boot certificate status in the Windows Security app. A yellow warning indicates pending compatibility data, while a red alert suggests a firmware incompatibility requiring a BIOS update. Multiple reboots during the update process are normal, and a new SecureBoot folder in Windows is for staging cryptographic files. Older PCs may experience longer update times, and some may not receive updates due to firmware issues. HP users should check for BIOS updates if encountering BitLocker recovery loops. IT administrators should monitor device classifications and manually initiate updates for devices not in the high confidence category. Devices with Secure Boot disabled cannot receive updates, leaving them vulnerable. The expiration of the Microsoft Corporation KEK CA 2011 certificate on June 24 does not immediately affect device functionality, but it limits Microsoft's ability to sign new bootkit blacklist updates.

Tech Optimizer

June 2, 2026

10 GitHub Repositories for Modern Database Systems and Tools

Databases have evolved from merely storing application records to supporting real-time analytics, embedded SQL, caching, monitoring, replication, AI agent memory, and comprehensive application backends. Numerous open-source GitHub repositories have emerged, allowing developers to experiment with and deploy self-managed servers. 1. ClickHouse: A real-time analytics database management system for fast analytical queries on large datasets, ideal for dashboards and business intelligence workloads. 2. DuckDB: An in-process analytical SQL database designed for local environments, suitable for data scientists and analysts needing rapid SQL-based analytics. 3. Supabase: A Postgres development platform offering a dedicated Postgres database and tools for authentication, APIs, and storage, popular for web and mobile applications. 4. Redis: A high-speed in-memory data store for caching, real-time applications, and session storage, known for its exceptional performance and support for various data structures. 5. Prometheus: A monitoring system and time series database for collecting and querying metrics, essential for observability in production systems. 6. Vitess: A database clustering system for horizontally scaling MySQL, addressing sharding, routing, and replication challenges for large deployments. 7. LiteFS: A FUSE-based file system for replicating SQLite databases across clusters, extending SQLite's capabilities into distributed environments. 8. OpenViking: An open-source context database for AI agents, managing memory and resources through a file system-like structure. 9. pgAdmin: An open-source administration platform for PostgreSQL, providing a graphical interface for managing databases and writing queries. 10. Adminer: A lightweight database management tool in a single PHP file, offering simple deployment and administration for various database systems. The modern database ecosystem is crucial for building reliable, real-time web applications, with tools like ClickHouse and DuckDB excelling in analytics, while Supabase and Redis enhance application development. Prometheus, Vitess, and LiteFS address monitoring, scaling, and replication needs, and OpenViking supports AI applications. Starting with DuckDB, Supabase, and Redis is recommended for beginners, while exploring ClickHouse, Prometheus, Vitess, and pgAdmin is beneficial for production systems.

Tech Optimizer

May 28, 2026

Graph Queries Across Billions of Rows of Scattered Data with Postgres and Apache AGE™

Postgres engines can now connect to large data repositories using extensions like pg_lake, allowing access to files in object storage formats such as CSV, JSON, Apache Parquet™, and Apache Iceberg™. The Apache AGE™ extension enhances data usability through graph relationships, enabling complex queries that require both graph traversal and analytical aggregation. Apache AGE introduces openCypher graph query support within Postgres, allowing for integration without data movement, as both Iceberg tables and graphs reside in the same database. This integration facilitates the construction of graphs from lake tables, allows for combining SQL and Cypher queries, and simplifies operational processes by consolidating application connection, security, and backups into a single workflow. An example of this integration is a healthcare platform using Iceberg tables on Amazon S3, which includes various data types such as claims, providers, patients, and referrals. To utilize these features, necessary Postgres extensions must be loaded, with pg_lake operating alongside a sidecar, the pgduck_server, for Iceberg operations.

AppWizard

April 29, 2026

Gemini can now generate PDFs, Word, and Excel files so you don’t have to

Google's Gemini now allows users to create and download files directly within chat conversations, including PDFs, Microsoft Word and Excel files, and Google Docs, Sheets, and Slides. Users can generate files in various formats instantly without needing to copy and paste content. Supported formats include Docs, Sheets, Slides, PDF, DOCX, XLSX, CSV, TXT, RTF, and Markdown. While users can export work to Google Slides and download it as a PPT file, direct export to Microsoft PowerPoint is currently unavailable. This feature is rolling out to all Gemini users, though some may experience a gradual implementation.

AppWizard

April 9, 2026

This new app may free Galaxy Watch owners from Samsung’s phone-locked features

A new application called the GeminiMan Wellness Companion has been developed for Galaxy Watch users by Dante63, who previously created a patched version of the Samsung Health Monitor. The app allows users to record electrocardiogram (ECG) data from the Galaxy Watch, providing detailed reports and AI-driven analysis through a mobile app. It can track heart rhythm and rate, flagging abnormal rhythms, which the Samsung Health Monitor does not. Users can personalize their measurements with notes and create multiple profiles for different users. The app ensures data security through encryption and offers export options for ECG reports in CSV or PDF formats. Future updates will include blood pressure recording and additional health metrics like blood oxygen levels and sleep patterns. The development roadmap is available on the GeminiMan Wellness Companion GitHub page.

Tech Optimizer

April 1, 2026

EDB Postgres AI for WarehousePG: Reclaiming control of the enterprise data warehouse

Many enterprises are transitioning from traditional proprietary data warehouse platforms, such as Teradata and Snowflake, due to issues like vendor lock-in, unpredictable pricing, and limited flexibility. EDB Postgres® AI (EDB PG AI) offers WarehousePG, an open-source, petabyte-scale data warehouse built on Postgres, designed to provide control, predictability, and data sovereignty while maintaining performance. WarehousePG utilizes a massively parallel processing (MPP) architecture, allowing it to efficiently execute complex queries across large datasets. It offers predictable performance without proprietary constraints, enabling organizations to avoid vendor-controlled execution engines. WarehousePG supports hybrid storage and SQL access to external data lakes through the Platform Extension Framework (PXF), simplifying ETL processes. It includes FlowServer for real-time data ingestion and supports in-database AI and machine learning, allowing for advanced analytics without transferring data outside the warehouse. The platform is engineered for high availability and enterprise readiness, with features like workload management and observability. Migration from legacy platforms is facilitated through a low-risk modernization pathway. Overall, WarehousePG provides a modern alternative to traditional data warehouses, emphasizing architectural control and open-source economics.