The hottest Data Management Substack posts right now

And their main takeaways
Category
Top Technology Topics

The Cloud for Biology

LatchBio • 39 implied HN points • 29 Aug 23
🔬 Science Biology Data Management Cloud Computing Biotechnology Research
  1. Storing and transferring large sequencing files in biology can be challenging due to the lack of user-friendly storage solutions like AWS S3.
  2. Integrating and tracking sample metadata in biology is vital but often hindered by unintuitive systems and lack of system integrations.
  3. Setting up data pipelines and computational workflows for biology data analysis is labor-intensive, requiring user-friendly interfaces and tools.

AirBnB sends employees Home

Technology Made Simple • 59 implied HN points • 30 Apr 22
🕹 Technology Remote work Cyber Security Data Management Content creation
  1. Remote work is becoming more common and offers numerous benefits, so mastering skills like Cyber Security can be advantageous.
  2. Efficient data compression and transmission can save companies money in the era of remote work, making it a valuable skill to develop.
  3. As more interactions shift to digital platforms, learning to create interactive content or platforms for remote communication can present lucrative opportunities.

#84

The Nibble • 2 implied HN points • 06 Nov 24
🕹 Technology AI Software Crypto Web Development Data Management
  1. LLM-assisted search is growing, making it easier to find information quickly. This technology is helping improve how we access and use data online.
  2. Polygon is shifting its focus from a marketing-driven approach to prioritizing product and research development. This change aims to enhance the project's overall effectiveness in the crypto space.
  3. A new proposal for contactless payment using crypto could make peer-to-peer transactions much more efficient. This could change how digital wallets operate in everyday payments.

Under the Hood

Sarah's Newsletter • 59 implied HN points • 29 Mar 22
🕹 Technology Programming Data Analysis Data Management No-Code Tools Cloud Computing
  1. Python's popularity is due to its ease of use and readability, making it one of the top 5 most popular languages.
  2. Abstractions like AWS Lambda can be efficient but may become harmful if not managed properly, leading to issues like security and cost concerns.
  3. Using SQL GUI tools for data aggregation can speed up the process but may lead to inaccurate results and wrong decisions due to lack of testing and QA processes.
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Data Quality

Data Thoughts • 39 implied HN points • 21 Jan 23
🕹 Technology Data Management Data Quality Data Analysis Data Integrity Information Systems
  1. Data quality is all about how useful the data is for the specific task at hand. What is considered high quality in one situation might not be in another.
  2. There are several key aspects of data quality, including accuracy, completeness, consistency, and uniqueness. Each of these factors helps to determine how reliable the data is.
  3. Improving data quality involves preventing errors, detecting them when they occur, and repairing them. It's about making sure the data is accurate and useful over time.

Sort Product Update – July 2024

Database Engineering by Sort • 7 implied HN points • 01 Jul 24
🕹 Technology Software Data Management Engineering Product Updates Best Practices
  1. Sort now has a Change Requests feature that lets users propose fixes to their data, similar to GitHub's Pull Requests. It's designed to help teams review and apply changes easily.
  2. Users can safely make changes to their Postgres databases using this new feature, which is great for managers and tech leads.
  3. The Sort platform has also seen improvements, including bug fixes and updated pricing to reflect its features better.

Viewing Microsoft Sentinel Rules with MITRE Tactics Directly in Excel

Rod’s Blog • 19 implied HN points • 09 Jan 23
🕹 Technology Security Data Management Software Microsoft
  1. Known options for viewing Microsoft Sentinel rules with MITRE tactics include the MITRE ATT&CK Workbook, the MITRE ATT&CK Blade, Threat Analysis & Response Solution, and the Sentinel REST API.
  2. A lesser-known trick is to view the list directly in Excel by accessing a .csv file on the Microsoft Sentinel GitHub repository and importing it into Excel.
  3. By following simple steps, you can leverage Microsoft Excel to analyze and manipulate the Microsoft Sentinel rules and MITRE tactics data.

Orchestration isn’t going anywhere

Data People Etc. • 36 HN points • 24 Apr 23
🕹 Technology Data Management Data Pipelines Orchestration Software Engineering Organizational dynamics
  1. Orchestration is essential and will continue to be important in the future of managing data pipelines.
  2. Orchestration involves coordinating and managing multiple systems and tasks to execute workflows.
  3. Tools like Dagster provide a control plane for managing data assets and metadata, ensuring a structured and cohesive data platform.

Sentinel-free schemas: a thought experiment

Minimal Modeling • 16 HN points • 20 Dec 23
🕹 Technology Data Management Database Design Data Integrity Data processing
  1. NULL values in databases create compatibility issues and add complexity to conditional operations
  2. Sentinel values, like empty strings or placeholders, are similar to NULL values and can lead to incorrect results
  3. Creating sentinel-free schemas involves separating attributes into individual tables and explicitly defining reasons for missing data

Tweaking Hubspot for the collaborative PLG SaaS

nonamevc • 20 implied HN points • 06 Sep 23
🕹 Technology CRM Data Management Analytics Marketing Automation
  1. Product-led growth strategy uses product usage to educate and evaluate customers.
  2. HubSpot offers CRM integration benefits for PLG startups, such as lead management and marketing automation.
  3. Establishing Revenue Ops fundamentals in HubSpot involves syncing data from tools like Stripe and creating custom objects for unique business needs.

Native Snakemake Support on LatchBio

LatchBio • 20 implied HN points • 14 Sep 23
🕹 Technology Bioinformatics Cloud Computing Workflow management Data Management Infrastructure
  1. Bioinformaticians face challenges in developing specialized scientific workflows due to managing large files and deploying academic tools.
  2. Snakemake, a Python-based framework, offers advantages over Nextflow in terms of Python readability, debuggability, and configuration simplicity.
  3. LatchBio now provides native support for Snakemake, enabling bioinformaticians to leverage graphical interfaces, managed infrastructure, and downstream analysis solutions.

😎 Developer’s Private Spot: “Harmlessly-Interruptible” vs. “Do Not Disturb”

ppdispatch • 5 implied HN points • 08 Oct 24
🕹 Technology Software Development AI Tools Workplace culture Data Management Productivity
  1. Hiring a separate Scrum Master can create unnecessary overhead, and teams might manage the process better on their own.
  2. AI coding tools like GitHub Copilot can actually increase bugs and may not reduce developer burnout as expected.
  3. Creating a work environment that supports both deep focus and collaboration can boost productivity for programmers.

LabKey

Axial • 7 implied HN points • 15 Mar 24
💼 Business Startups Data Management Software Development Revenue Models Partnerships
  1. LabKey provides data management solutions tailored to researchers, clinicians, and biotech companies.
  2. LabKey's evolution from a project at Fred Hutchinson Cancer Research Center to a successful software company is inspiring for startups.
  3. LabKey's strategic shift to a tiered subscription service model helped in sustaining revenue and investing in new product development.

Make it resilient: Disaster Recovery Techniques

Cloud Weekly • 26 implied HN points • 27 May 23
🕹 Technology Cloud Computing Disaster Recovery AWS Infrastructure Data Management
  1. There are 4 main disaster recovery techniques: Backup & Restore, Pilot Light, Warm StandBy, and Multi-Site Active/Active.
  2. The techniques aim to optimize for RPO (Recovery Point Objective) and RTO (Recovery Time Objective), which determine how much data loss and downtime are acceptable.
  3. The choice of technique depends on factors like cost, recovery speed, and the criticality of the application, with each method having its own advantages and trade-offs.

Uniting Data Fiefdoms Under Your Banner

TeamCraft • 13 implied HN points • 30 Oct 23
💼 Business Data Management Company Culture Business strategy Team Management
  1. Uniting data fiefdoms under one banner can be challenging due to siloed incentives and data fragmentation.
  2. Data functions often lack proprietary data but have access to all data, highlighting the importance of understanding data context.
  3. Creating a Single Customer View can be a game-changer for businesses, enabling better attribution and decision-making based on a holistic customer journey.

☎️ Interview: Rick Hao, Partner at SpeedInvest on the State of Privacy-Enhancing Technologies #005

Let Us Face the Future • 19 implied HN points • 05 May 23
🕹 Technology Data Management Healthcare Tech Machine Learning Deep Tech
  1. Having more data will continue to drive the adoption of Privacy-Enhancing Technologies (PETs).
  2. Healthcare requires specialized data infrastructure different from other markets.
  3. Machine learning is expected to be a key factor in the adoption of data sharing tools.

A Gentle Introduction to Kafka API

Tributary Data • 1 HN point • 16 Apr 24
🕹 Technology Programming Data Management Distributed Systems
  1. Kafka started at LinkedIn and later evolved into Apache Kafka, maintaining its core functionalities. Various vendors offer their versions of Kafka but ensure the Kafka API remains consistent for compatibility.
  2. Apache Kafka acts as a distributed commit log storing messages in fault-tolerant ways, while the Kafka API is the interface used to interact with Kafka for reading, writing, and administrative operations.
  3. Kafka's structure involves brokers forming clusters, messages with keys and values, topics grouping messages, partitions dividing topics, and replication for fault tolerance. Understanding these architectural components is vital for working effectively with Kafka.

Improve your SQL skills X2 in 5 minutes

Leading Developers • 3 HN points • 13 Feb 24
🕹 Technology Data Management SQL Data Analysis Programming
  1. SQL skills are crucial for managers because they can help answer business questions, understand technical designs, and provide a huge return on effort invested.
  2. Don't stop with just learning joins in SQL. Advancing to using CTEs, window functions, and partitions can greatly enhance your ability to write complex queries.
  3. Window functions in SQL, such as ranking functions, aggregation functions, and positional functions, can help in advanced query writing by allowing calculations across sets of rows or returning a single value from a specific row within partitions.

Why has managing email in PLG B2B SaaS become such a tedious job?

nonamevc • 3 HN points • 05 Feb 24
🕹 Technology Data Management Pricing Models Data Warehousing
  1. There are multiple types of emails involved in PLG B2B SaaS, including transactional, product-related, and marketing campaigns.
  2. Challenges in managing email in PLG B2B SaaS include the need for orchestration, tedious content management, and high data volume.
  3. Companies like Inflection and Humanic offer new perspectives and solutions to address the complexities of managing email in PLG B2B SaaS.

Harmonizing Creation and Compensation: The Future of Open Source AI in a Copyrighted World

For your consideration • 1 HN point • 13 Mar 24
🕹 Technology AI Copyright Open Source Data Management Innovation
  1. Open Source AI models need a way to remain competitive while respecting copyrighted training data and compensating content creators.
  2. A performance-based royalty approach for AI models could help bypass training payment disputes, align royalties with actual use, and ensure stable costs for publishers.
  3. Collaborative solutions that integrate Open Source adaptability with fair compensation systems inspired by the music industry can pave the way for a sustainable ecosystem where Open Source AI can thrive alongside copyrighted content.

Big Tech Digest #13: How Uber Serves Over 40 Million RPS Using a Cache, Overview of Discord Streaming, Meta loves Python, Designing Microservices Using Saga Patterns At Walmart, and more!

Big Tech Digest • 4 implied HN points • 12 Mar 24
🕹 Technology Data Management Programming Software Engineering Tech Companies
  1. Uber developed Docstore, a distributed database, and created CacheFront to handle over 40 million reads per second, using techniques like Redis sharding and adaptive timeouts.
  2. Walmart discusses using Database Per Service pattern and Saga pattern in microservices design for efficient data querying and handling complex transactions.
  3. Discord's blog explains the technology behind their Go Live streaming feature, addressing bandwidth constraints and using WebRTC for different scenarios.

Bridging the Gap: Deception Engineering as the New Frontier in Detection Engineering

Deceiving Adversaries • 2 implied HN points • 11 Apr 24
🕹 Technology Cybersecurity Artificial Intelligence Data Management Threat Detection Automation
  1. Security Operations Centers (SOCs) struggle with alert fatigue due to a high volume of security alerts, making it hard for analysts to identify real threats.
  2. Detection engineering is key in cybersecurity, but many organizations face issues with false positives and outdated rules, leading to poor alert quality.
  3. Cyber deception engineering can help reduce alert fatigue by using tricks to detect attackers, creating better alerts, and improving overall security responses.

Why You Should Join Loop

Why You Should Join • 5 implied HN points • 04 Dec 23
💼 Business Logistics Data Management Finance Shipping Auditing
  1. Logistics and freight payments can be complex and challenging due to the intricate flow of goods and the variety of payment-related documents involved.
  2. Loop has developed a platform to centralize and structure freight payment data, enabling automation of invoice audits, dispute resolution, scenario planning, and more, resulting in significant cost savings and increased productivity for customers.
  3. Loop's unique data layer, automation capabilities, and focus on customer value creation give them a competitive edge in the market, setting them apart from traditional freight audit firms and software solutions.

Gradient Flow #27: 2021 Trends Report, the Edge, and ML in the Sciences

Gradient Flow • 19 implied HN points • 28 Jan 21
🕹 Technology AI Machine Learning Data Management Cloud Computing Edge Computing
  1. The 2021 Trends Report covers topics like tools for Machine Learning and AI, Data Management, Cloud Computing, and Emerging AI Trends.
  2. Edge computing is becoming more important for bringing AI and computing closer to data sources, as discussed with experts in the field.
  3. In the realm of Machine Learning, there are new tools like GPT-Neo, analysis of popular data science technologies, and the concept of the lakehouse in data management.

A Darker Truth

davidj.substack • 2 HN points • 07 Mar 24
🕹 Technology Artificial Intelligence Data Management Startups Workplace dynamics
  1. Text-to-semantic layer systems can work in enterprise but text-to-SQL ones won't due to technical deficiencies.
  2. Even with infinite resources, achieving a perfect text-to-SQL system may not be enough due to the importance of how data is perceived by stakeholders.
  3. Blame and humiliation dynamics in human interactions make text-to-semantic layer systems more viable than text-to-SQL systems in corporate settings.

Types Of User Profile Data

ciamweekly • 2 HN points • 05 Mar 24
🕹 Technology Data Management
  1. Credentials in a CIAM system help identify users through login info, passwords, public keys, MFA, etc.
  2. User Provided Profile Data includes details users share, ranging from basic to complex attributes, gathered during registration or progressively.
  3. Consents in a CIAM system capture user permissions for marketing or legal purposes, different from other profile data as they can be explicitly granted or revoked.