The hottest Data Analytics Substack posts right now

And their main takeaways
Category
Top Business Topics

Data at Depth 12: Surging Substack, Creative Reflections, Streamlit GIS Tutorial

Data at Depth • 19 implied HN points • 02 May 24
🕹 Technology Data Analytics Content creation Programming Data Visualization Machine Learning
  1. Documenting analytics platform performance can reveal growth trends and areas needing more attention, like focusing on Substack engagement.
  2. Balancing intrinsic and extrinsic motivation in creativity can impact the quality and longevity of content creation, pushing creators towards enduring satisfaction.
  3. Utilizing AI like GPT-4 for filtering and mapping GIS data in Python with tools like Streamlit can streamline complex data visualization tasks, enhancing efficiency and interactivity.

Correlating AWS S3 Breaches

Detection at Scale • 19 implied HN points • 29 Apr 24
🕹 Technology Cloud Infrastructure Security Monitoring Data Analytics Cybersecurity
  1. AWS S3 buckets are a common target for attackers due to misconfigurations and high-value data. Security teams should focus on monitoring S3 activity to ensure authorized access and detect breaches early.
  2. S3 serves as a major storage solution for various data types in the cloud. Its widespread use makes it a prime target for attackers seeking to compromise sensitive information.
  3. Monitoring S3 bucket activity is crucial for detecting suspicious behavior that could signal a breach. Using tools like CloudTrail, GuardDuty, and CloudWatch can provide valuable insights and enhance security measures.

About Data User Experience

timo's substack • 78 implied HN points • 28 Sep 23
🕹 Technology User Experience Data Analytics Metadata
  1. Agile approach works for quick insights but can fail for user experience
  2. Data user experience includes utility, usability, findability, credibility, desirability, and accessibility
  3. Improving data user experience involves naming conventions, SQL style guides, ownership clarity, metadata, architecture, data consistency, and regular user feedback

Product-led marketing to reach 400,000 users

Kyle Poyar’s Growth Unhinged • 283 implied HN points • 17 May 23
💼 Business Marketing Data Analytics Messaging Experimentation Focus
  1. Product-led marketing involves aligning the product, marketing, and customer success for growth.
  2. Focus on user intent and eliminate unnecessary distractions in marketing efforts.
  3. Layer in the right messaging, experiment, triage, choose your battles wisely, and stay focused to reach milestones like 400,000 users.
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Microsoft Sentinel SOC 101: How to Detect and Mitigate Advanced Persistent Threats (APTs) with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 12 Oct 23
🕹 Technology Security Cloud Computing Data Analytics Automation Threat Detection
  1. Advanced Persistent Threats (APTs) are stealthy and sophisticated cyberattacks that aim to gain unauthorized access and remain undetected for prolonged periods, typically orchestrated by skilled threat actors like nation-state groups or cybercrime syndicates.
  2. Microsoft Sentinel provides a cloud-native Security Information and Event Management (SIEM) solution that offers intelligent security analytics, threat intelligence, and the ability to collect and analyze data at scale.
  3. To combat APTs effectively, organizations can utilize Microsoft Sentinel to connect data sources, use workbooks for monitoring, analytics rules for correlating alerts into incidents, playbooks for automating common tasks, and hunting queries for proactively searching for threats.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Session Token Stealing Attacks with Microsoft Sentinel

Rod’s Blog • 59 implied HN points • 06 Oct 23
🕹 Technology Cybersecurity Data Analytics Cloud Computing Threat Detection Automation
  1. Session token stealing attacks can lead to unauthorized access, data theft, account takeover, and other malicious activities.
  2. To detect session token stealing attacks, Microsoft Sentinel offers a comprehensive solution using advanced analytics, threat intelligence, and automation.
  3. Mitigate session token stealing by using HTTPS encryption, secure cookies, short-lived session tokens, strong passwords, multifactor authentication, and other security measures.

Transforming biomanufacturing using software with Martin Permin

Axial • 52 implied HN points • 04 Mar 24
🕹 Technology Software Data Analytics AI Synthetic Biology
  1. Software and data analytics are being used to transform biomanufacturing, making it easier to control the complex variables involved in producing biological products.
  2. Invert, founded by Martin Permin, integrates with bioreactors and databases to help biomanufacturers manage and optimize their data using AI and analytics.
  3. Invert's platform streamlines bioprocessing by providing tools to plan experiments, monitor processes, analyze results, model scale-up, and collaborate with partners.

GroupBy #12: AWS re:Invent 2023, Druid and ClickHouse at Lyft, Apache Hudi History

VuTrinh. • 39 implied HN points • 05 Dec 23
🕹 Technology Data Engineering Cloud Computing Machine Learning Software Development Data Analytics
  1. AWS re:Invent 2023 announced new features focused on improving data storage and processing. This includes faster storage options and AI capabilities for better data insights.
  2. Lyft switched from using Druid to ClickHouse for their analytics needs. This change was driven by a need for faster data query responses.
  3. Apache Hudi was created to help manage data in a more efficient way. It enables incremental data processing, making it easier to work with large amounts of information.

Defying the Odds With Unconventional Strategies and Smarter Talent Scouting

Workforce Futurist by Andy Spence • 97 implied HN points • 23 Aug 23
🎾 Sports Football Data Analytics Success Strategies Performance Metrics
  1. Talent scouting in football shows the value of unconventional strategies and data-driven decisions.
  2. Underdogs in any industry can succeed by being innovative and leveraging data analysis like Leicester City did in football.
  3. Adopting new approaches like Total Football or Agile methodology can lead to collective success and continuous improvement.

🤦‍♂️ Poor data cleansing & high costs sink 98% of machine learning projects

HackerPulse Dispatch • 5 implied HN points • 12 Nov 24
🕹 Technology Machine Learning Cybersecurity Data Analytics Software Development Database Management
  1. Most machine learning projects fail because of bad data cleaning and high costs. Companies are looking for better ways to manage their budgets.
  2. There are new security threats in programming, like malware hiding in code libraries. Developers need to check packages carefully before using them.
  3. Intel found a huge boost in performance for their Linux kernel from a tiny code change. This shows how small tweaks can lead to big improvements.

Analytics Engineering (NOT DBT!) 101

Three Data Point Thursday • 39 implied HN points • 14 Sep 23
🕹 Technology Data Analytics Cyber Security AI Organizational Change
  1. Cyber security is evolving due to personalized threats; data-driven security is critical.
  2. Synthetic video presenters are emerging as a trend with growth potential in various sectors.
  3. Analytics engineering involves bridging the gap between data analytics and engineering through organizational change.
  4. Companies need to consider upskilling analysts or hiring analytics engineers to streamline data flow.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Cryptojacking Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 03 Oct 23
🕹 Technology Cybersecurity Cloud Computing Data Analytics Threat Detection
  1. Cryptojacking involves using cloud resources to mine cryptocurrencies, leading to increased costs and performance issues for affected cloud customers.
  2. Common indicators of cryptojacking include high CPU/memory usage by unknown processes, unusual network traffic patterns, changes in cloud resource usage, and presence of malicious mining code.
  3. Microsoft Sentinel can help detect and respond to cryptojacking by analyzing data from various sources, applying advanced analytics, providing visualization dashboards, and enabling fast investigation and response using built-in playbooks.

Microsoft Sentinel SOC 101: How to Detect and Mitigate Credential Reuse Attacks with Microsoft Sentinel

Rod’s Blog • 39 implied HN points • 26 Sep 23
🕹 Technology Cybersecurity Data Analytics Threat Detection Risk Assessment
  1. Increase the cost of compromising an identity by banning common passwords, enforcing multi-factor authentication, and blocking legacy authentication.
  2. Detect threats through user behavior anomalies by ensuring event logging and data retention and by leveraging User and Entity Behavioral Analytics.
  3. Assess identity risk by conducting penetration tests, password spray tests, and simulated phishing campaigns to strengthen security controls.

Reinventing the Wheel of Data Activation

Sarah's Newsletter • 99 implied HN points • 26 Jul 22
🕹 Technology Data Analytics Data Integration Automation Software Engineering
  1. Data activation is not just a concern for the data team; it affects the entire data ecosystem and requires consideration of how data moves from one destination to another.
  2. Tools like Zapier and Make are essential for activating data, even bypassing warehouses, though maintaining software engineering principles like testing and version control is crucial for data teams.
  3. Integration bridges will always be necessary to connect applications that aren't warehouse-native, highlighting the importance of scalable systems and minimizing potential points of failure in data movement.

GroupBy #16: Uber's Anomaly Detection & Alerting System, many layers of data lineage

VuTrinh. • 19 implied HN points • 02 Jan 24
🕹 Technology Data Engineering Machine Learning Software Development Data Analytics Cloud Computing
  1. Uber has developed an anomaly detection system called uVitals, which helps identify issues before they become major problems. It analyzes data patterns to catch anomalies early.
  2. Data modeling is essential for creating structured databases that allow for better analysis and comparisons. It's important for data projects to have clear designs.
  3. As the field of data engineering evolves, new roadmaps and resources are emerging to guide professionals in developing necessary skills. Staying updated can help engineers advance their careers.

The humanoid space is going crAIzy!

Robots & Startups • 39 implied HN points • 25 Mar 23
🕹 Technology AI Data Analytics Startups
  1. Big-data analytics firm Databricks has open-sourced a new AI model that rivals ChatGPT with impressive speed and efficiency.
  2. The AI model was trained in less than three hours on a single machine, requiring far less data compared to other models.
  3. The field of generative artificial intelligence is continuously evolving with advancements like these, showcasing the rapid progress in AI technology.

The Tech Buffet #15: Build and Evaluate LLM Applications with TruLens

The Tech Buffet • 19 implied HN points • 03 Dec 23
🕹 Technology Machine Learning Software Development Data Analytics Artificial Intelligence Open Source
  1. TruLens is a helpful open-source tool for evaluating and monitoring applications that use Large Language Models (LLMs). It tracks performance and helps you find the best settings for your models.
  2. The tool allows you to create feedback functions that measure how well the model's answers relate to the questions asked. This helps ensure the answers are relevant and grounded in the provided context.
  3. You can visualize the results and metrics in a dashboard, making it easy to understand how your model is performing and where improvements may be needed.

✅ African public relations agency recognised by The Financial Times

Wadds Inc. newsletter • 39 implied HN points • 04 May 23
💼 Business Public Relations Marketing Entrepreneurship International Trade Data Analytics
  1. BHM, an African public relations agency, was named one of Africa's Top 100 fastest-growing companies by The Financial Times. This is a big deal for a privately owned firm.
  2. The agency focuses on helping African businesses reach international markets and helping foreign companies understand Africa. This is important as businesses look for new opportunities.
  3. BHM values hard work and community involvement, with a strong team made up of people who have grown within the company. They even created World PR Day to highlight the importance of public relations.

Unprecedented Boom in Data Analytics & AI M&A

Sector 6 | The Newsletter of AIM • 19 implied HN points • 05 Nov 23
💼 Business Mergers Acquisitions Data Analytics Artificial Intelligence Technology
  1. There has been a big increase in companies buying up data analytics and AI businesses recently. Over 25 acquisitions happened this year, which is a lot more than the 15 last year.
  2. Major companies like Accenture, IBM, and Snowflake are very active in this space. Accenture alone spent about $2.5 billion on 25 acquisitions to boost its AI and analytics services.
  3. These acquisitions help companies improve their tech capabilities, like inventory management and engineering, making them more efficient and innovative.

Big Tech Platforms’ Entry into Healthcare and Education

Platform Papers • 59 implied HN points • 13 Jul 22
🕹 Technology Big Tech Data Analytics Regulations Data Privacy Healthcare
  1. Big Tech platforms like Google and Apple enter regulated industries like healthcare and education by capturing sensitive data, leading to concerns about privacy and competition.
  2. In highly regulated industries, Big Tech firms focus on data capture and analysis, offering insights that can significantly impact incumbent service providers and drive innovation.
  3. For platform strategy, success in regulated industries hinges on superior data analytics capabilities, strategies to access and use sensitive data, and balancing stakeholder interests like privacy and security.

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.

OpenAI in Crisis

Sector 6 | The Newsletter of AIM • 19 implied HN points • 10 Aug 23
🕹 Technology Artificial Intelligence Software Development User Experience Tech industry Data Analytics
  1. OpenAI is facing serious challenges, including high losses, dropping user numbers, and increasing legal issues. This creates uncertainty about the company’s future.
  2. In July, the number of users on ChatGPT decreased by 12%, dropping from 1.7 billion to 1.5 billion. This decline raises concerns about the platform's popularity.
  3. If these problems continue, there's a chance that OpenAI might go bankrupt. The situation looks tough for the company right now.

Must Learn KQL Part 11: The Summarize Operator

Rod’s Blog • 19 implied HN points • 31 May 23
🕹 Technology Data Analytics Programming
  1. The Summarize operator in KQL is used to aggregate and summarize data, making it more meaningful.
  2. The operator can be used for both simple aggregations like count, sum, and average, as well as more advanced functions like arg_min and percentiles.
  3. To master the Summarize operator, it's important to practice with different types of queries in tools like the KQL Playground.

How to Get a List of Your Active Analytics Rules for Microsoft Sentinel

Rod’s Blog • 19 implied HN points • 12 Jan 23
🕹 Technology Data Analytics Microsoft Sentinel API
  1. To get a list of active Analytics Rules in Microsoft Sentinel, use the Workspace Usage Report Workbook's Active Rules via Rest API module to download a CSV file of the results.
  2. You can also access a list of Analytics Rule templates by utilizing the Rule Templates via Rest API module.
  3. Consider exploring Twitter, LinkedIn, or subscribing to newsletters for further engagement with the topic.

Understanding Isn't Enough

Sarah's Newsletter • 59 implied HN points • 08 Feb 22
🕹 Technology Data Analytics Product Development Data Quality Process Optimization
  1. Value in data products comes from taking action, not just providing information.
  2. Vendors and data tools add significant value by influencing processes and saving time for users.
  3. Analytics products should aim to change behaviors by answering critical questions, prioritizing effectively, and continuously refining to ensure effectiveness.

The Dawn of the AI-Military Complex

GOOD INTERNET • 17 implied HN points • 25 Jan 24
🕹 Technology Military AI Ethics Data Analytics Cybersecurity
  1. Advancements in AI technology are being actively used in military operations, with drones and autonomous systems playing a significant role.
  2. There is a risk of overtrusting AI systems in life-or-death decisions on the battlefield, which can lead to ethical dilemmas.
  3. The future of warfare may involve AI systems taking a central, decision-making role, potentially changing the landscape of conflicts and military operations.

The Consumer and Retail Spending Hedge

Ben’s Newsletter • 39 implied HN points • 28 Sep 22
💼 Business Retail Consumer E-commerce Finance Data Analytics
  1. Consumers are changing their shopping habits due to rising prices. Many people are looking for discounts, shopping less, or sticking to essential purchases.
  2. Despite the pressure, people are still spending but are choosing cheaper options or smaller amounts. It's all about making trade-offs with their money.
  3. Retailers are facing challenges with excess stock and returns. They need new ways to sell off inventory without heavily discounting, which can hurt their profits.

The Anatomy of a Clinical Trial

Superfluid • 26 implied HN points • 19 Apr 23
🏥 Health & Wellness Clinical Trials Logistics Data Analytics Future Trends
  1. Clinical trials are expensive and crucial for determining the efficacy and safety of new drugs.
  2. There are multiple stakeholders involved in running a clinical trial, each with important roles to play.
  3. Challenges in clinical trials include patient recruitment, trial logistics, and data analytics, but there are innovative startups working on solutions.

Microsoft Fabric Mirroring: Revolutionising Data Access and Real-Time Insights

Data Plumbers • 2 HN points • 01 Apr 24
🕹 Technology Data Analytics Data Warehousing Database Management Data Integration
  1. Microsoft Fabric Mirroring is a transformative technology that revolutionizes data access and real-time insights in organizations.
  2. Mirroring enables universal access to various databases, real-time data replication, and granular control over data ingestion into Microsoft Fabric's Data Warehousing experience.
  3. With Mirroring, organizations can achieve zero-ETL insights, leverage the innovative capabilities of Fabric's OneLake repository, and bridge the gap between data and action for swift adaptation and success.

✅ Monday briefing: WaddsCon, Reach investment, fossil fuel PR, conflict of interest, cost of living survey, eBay trolls, GA breaches GDPR, GCS misinfo toolkit, creator tools, CommsHero and more...

Wadds Inc. newsletter • 19 implied HN points • 26 Sep 22
💼 Business Media Marketing Public Relations Data Analytics Events
  1. WaddsCon is happening soon and will focus on how to create and pitch data stories to the media. It's a good chance to learn from speakers who will share useful tips and case studies.
  2. Reach is expanding by hiring over 25 journalists and staff to attract a younger audience. This shows a shift in the media to engage more with the 25 to 35 age group.
  3. There are concerns about PR agencies with conflicts of interest, especially regarding evaluations for COVID-19. It's important to ensure fairness and transparency in such evaluations.

The Sorcerer’s Apprentice: Applied AI for Data

Perspectives • 3 implied HN points • 09 Feb 24
🕹 Technology AI Data Analytics Natural Language Processing Automation Machine Learning
  1. Illustrates the importance of utilizing AI in data analytics wisely to avoid potential risks and maximize benefits
  2. Provides practical tips on how to apply AI in data work, such as using tools for natural language processing, coding assistance, and documentation
  3. Highlights the gap between current AI capabilities and the ideal automation of analytics, emphasizing the role of asking the right questions in data work