The hottest Data Management Substack posts right now

And their main takeaways
Category
Top Technology Topics

How to be Notified When Microsoft Sentinel Data Stops Populating

Rod’s Blog • 79 implied HN points • 02 Oct 23
🕹 Technology Data Management Security Monitoring Analytics
  1. Being notified when data ingestion stops is crucial for security analysts to maintain the integrity of security tools.
  2. A KQL query can be set up as an Analytics Rule to alert if a specific table has not received new data within a set timeframe, allowing for timely action.
  3. Email alerts can be configured instead of generating unnecessary security incidents, ensuring the operations team can address potential issues efficiently.

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.

The Analytics Requirements Document

Sarah's Newsletter • 359 implied HN points • 27 Oct 22
💼 Business Analytics Product Launch Contracts Data Management Team Collaboration
  1. Analytics should be a first-class citizen in crafting product launches to avoid wasted time and ensure measurable success.
  2. Utilize detailed agreements like Product Requirements Documents (PRD) and Analytics Requirements Documents (ARD) to align teams, outline goals, data criteria, assumptions, and finalize expectations.
  3. Involving analytics early in the product evolution lifecycle is crucial for gathering and analyzing data effectively, helping in decision-making, and ensuring alignment across technical and business teams.
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The Thrill of Deprecating Dashboards

Sarah's Newsletter • 239 implied HN points • 29 Nov 22
🕹 Technology Analytics Automation Data Management BI Tools Data Visualization
  1. Having an excessive number of dashboards can lead to inefficiency and confusion within an organization. It's important to prioritize strategic organization over creating new dashboards indiscriminately.
  2. Developing an automated dashboard deprecation strategy can help save time and maintain a clean BI instance. By automating the process, organizations can efficiently manage and delete unused visuals.
  3. Implementing a proactive maintenance plan, such as using a data catalog or automated tools, can help keep BI instances organized and optimal for data insights. Regular cleaning and organization are key to ensuring the effectiveness of analytics strategies.

Tokenization, or How I Learned to Stop Worrying and Love the Vault

Money in Transit • 19 implied HN points • 08 Jan 24
🕹 Technology Security Payments Data Management Startups Tokenization
  1. Tokenization is a powerful way to reduce costs and secure card payments by isolating parts of payment applications for PCI compliance.
  2. Tokens are non-exploitable and require a vault to store the actual data, providing security in case of a breach.
  3. Using Tokenization as a Service providers can strengthen a startup's position by avoiding vendor lock-in and enhancing pricing power.

Must Learn AI Security Part 8: Model Stealing Attacks Against AI

Rod’s Blog • 59 implied HN points • 05 Sep 23
🕹 Technology AI Security Data Management
  1. A Model Stealing attack against AI involves an adversary attempting to steal the machine learning model from a target AI system, potentially leading to security and privacy issues.
  2. Different types of Model Stealing attacks include Query-based attacks, Membership inference attacks, Model inversion attacks, and Trojan attacks.
  3. Model Stealing attacks can result in loss of intellectual property, security and privacy risks, reputation damage, and financial losses for organizations. Mitigation strategies include secure data management, regular system updates, model obfuscation techniques, monitoring for suspicious activity, and implementing multi-factor authentication.

July 2023

Product Composition • 78 implied HN points • 21 Jul 23
🕹 Technology AI Startup Data Management Design
  1. Decipad is launching its beta version, focusing on making sense of numbers in a dynamic way
  2. AI in the industry should prioritize collapsing data to enhance clarity and facilitate action-taking
  3. The future of jobs is facing a drastic shift, with issues around productivity, social contracts, asymmetrical compensation, and poor job descriptions

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.

(1/3) “Relational Database Management: A Status Report” [Chris Date, 1983]

Minimal Modeling • 98 implied HN points • 10 May 23
🕹 Technology Databases Programming Data Management
  1. The video discusses the historical background of relational databases, starting in 1983.
  2. Key points include the slow process of database system installation and the importance of primary keys in database design.
  3. Discussion on relational operations like join and divide, emphasizing the significance of these operations in practical database management.

6 Technologies you Should Know as a Software Engineer in 2023

Implementing • 19 implied HN points • 18 Dec 23
🕹 Technology Development Frameworks Tools Courses Data Management
  1. Importance of continuous learning in the field of web development, especially in mastering foundational concepts like math and computer science.
  2. Key technologies like Docker, Node.js, Git, Elasticsearch, Redis, and React are essential for developers to learn for successful software engineering in 2024.
  3. Utilizing online resources like free YouTube videos, paid courses on platforms like Udemy, and official documentation can assist in gaining proficiency in various technologies.

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.

Metricalypse Now

davidj.substack • 107 implied HN points • 15 Feb 23
🕹 Technology Data Management Analytics BI Tools Commercialization
  1. Two approaches to metrics layers: wide datasets without defined data models vs. defined data model for more powerful metrics.
  2. Importance of new semantic layer by dbt Labs acquiring Transform for a universal standalone analytics solution.
  3. Opportunity for data consumption vendors to integrate with new dbt semantic layer for a ubiquitous solution.

Joe's Nerdy Rants #4

Joe Reis • 78 implied HN points • 10 Jun 23
🕹 Technology AI Data Management Data Quality
  1. Encourage kids and others to interact more in real life, consider alternatives to college, find careers that can't be easily automated, and learn to coexist with AI.
  2. Embrace lifelong learning and be open to change in order to adapt to evolving technologies and industries.
  3. Read up on interesting articles about tech, AI, data, and business topics for insights and inspiration.

Will active metadata eat the orchestrator?

Data People Etc. • 88 implied HN points • 27 Mar 23
🕹 Technology Data Management Data Governance Collaboration Innovation
  1. Active metadata is a dynamic way to manage and use metadata across different parts of the data stack.
  2. Active metadata can potentially replace triggering mechanism aspect of data orchestrators, but not the optimization intelligence.
  3. The true value of active metadata lies in empowering business users by acting as a personal data assistant.

Why Discord ditched Cassandra [System Design Sundays]

Technology Made Simple • 79 implied HN points • 03 Apr 23
🕹 Technology System Design Databases Data Management Programming Tech Education
  1. Discord faced performance issues with Cassandra, requiring increasing maintenance effort and leading to unpredictable latency.
  2. Hot partitions were a problem in Cassandra, causing hotspotting and impacting the database's performance during concurrent reads.
  3. Garbage collection in Cassandra posed challenges, leading Discord to switch to ScyllaDB which does not have a garbage collector.

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.

A Quick Way to Verify the Connection Between Microsoft Defender External Attack Surface and Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 13 Jun 23
🕹 Technology Cybersecurity Software Data Management
  1. Check for custom tables starting with 'EASM' to verify connection between Microsoft Defender External Attack Surface and Microsoft Sentinel.
  2. In Microsoft Sentinel, tables will show up in the Custom Logs Solutions area.
  3. Connecting EASM to Microsoft Sentinel involves three steps: setting up EASM, configuring permissions, and enabling the connection.

Why You’re Missing The Point Of Analytics

Three Data Point Thursday • 19 implied HN points • 05 Oct 23
🕹 Technology Data Analytics Data Management Data products Data Storage
  1. Analytics and Business Intelligence are about turning data into actionable insights, not just analyzing historical data.
  2. Separating data into 'hot' and 'cold' categories can lead to cost savings and less complexity in data management.
  3. Be cautious of the term 'data product' as it can have different meanings to different people, and ensure clarity in hiring, marketing, and tool usage.

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.

Native Snakemake Support on LatchBio

LatchBio • 20 implied HN points • 14 Sep 23
🕹 Technology Bioinformatics Cloud Computing 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.

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.

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.

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.

Using Azure Open AI with Microsoft Sentinel Part 1 - Getting Keys and Endpoints

Rod’s Blog • 39 implied HN points • 30 Mar 23
🕹 Technology Cloud Computing AI Data Management Cybersecurity Programming
  1. Consider transitioning from Logic App connector for Open AI ChatGPT to Azure Open AI's ChatGPT for more control over data.
  2. When working with Azure Open AI models, deployments should be done in the Azure console, not Azure OpenAI Studio, and need patience for the API to become accessible.
  3. In Microsoft Sentinel, use best practices like storing API keys and endpoints in Parameters for calls to Azure Open AI deployments.

What Suboptimal Public Transit and Your Data Pipelines Have in Common

Bytes, Data, Action! • 19 implied HN points • 05 Sep 23
🕹 Technology Data Pipelines Public Transit Monitoring Data Orchestration Data Management
  1. Public transit and data pipelines both aim to move things from point A to point B smoothly and quickly.
  2. Issues like delays, lack of visibility, and missed connections can disrupt the experiences of both public transit and data pipelines.
  3. Efficient, transparent, and reliable practices are key to ensuring a smooth journey for both public transit users and data pipelines.

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.