Data science relies on working with different types of data systems and architecture. For data scientists or analysts just getting started, some of the terminology can be confusing. 

In this post, we’ll dive into definitions and examples for five fundamental data science concepts:

- 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲: A centralized repository that stores huge amounts of raw, unstructured data in native formats. Provides flexible, scalable storage for diverse analytics and ML needs.

- 𝗗𝗮𝘁𝗮 𝗠𝗮𝗿𝘁: A subset of company data focused on the needs of a specific team or use case. Enables access to tailored data without irrelevant info.

- 𝗗𝗮𝘁𝗮 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲: Automates the flow and transformation of data from sources to destinations. Ingests, processes, and routes data for downstream uses.

- 𝗗𝗮𝘁𝗮 𝗪𝗮𝗿𝗲𝗵𝗼𝘂𝘀𝗲: Integrates data from multiple sources into one unified repository. Structured for querying, analysis, and reporting. Provides a single source of truth.

- 𝗗𝗮𝘁𝗮 𝗤𝘂𝗮𝗹𝗶𝘁𝘆: The accuracy, completeness, consistency, and relevance of data. Essential for reliable analytics and decisions.

- 𝗗𝗮𝘁𝗮 𝗟𝗮𝗸𝗲𝗵𝗼𝘂𝘀𝗲: Combines data lakes and warehouses. Stores raw data like a lake along with preparing and structuring data like a warehouse. Provides flexibility for diverse data and uses.

👉 Follow Gina Acosta Gutiérrez 👩🏻‍💻 for more resources!

➡ Get the latest AI news, tools, tutorials and guides on using popular AI tools for FREE here: www.joinhorizon.ai

#python #data #database #datascience #machinelearning #ai #artificialintelligence #programming #dataanalysis #analytics #coding #tech #developer #cloudcomputing #technology

The #1 thing I wish I knew when I started with Salesforce Marketing Cloud 8 years ago?

Just how the data model works. 😬

---

When I started working with SFMC 8 years (or so?) ago, like many I had been working with Salesforce "Core" (the CRM, Sales Cloud, Service Cloud, force.com...).

I also worked with Salesforce Pardot (now called "Salesforce Marketing Cloud Account Engagement" 🤭).

However, SFMC works very differently. 

Here's what I wish I knew...

--- 

🔄 Relational Data from Core

Data flowing in from Salesforce Core is relational. Understanding how this links to SFMC is key to leveraging customer info effectively.

Usually, your Salesforce Core (CRM, force.com...) contains way more objects than you need Data Extensions (DEs) in SFMC. 

As a marketer, you may also not be familiar with SF Core "lookups" (a bit like Excel lookups). Understanding this is key.

AND

🔨 Flexibility with Data Extensions

SFMC allows you to create custom Data Extensions. This is your playground for structuring data exactly how you need it.

This flexibilty comes at a price... many turn their environment in a mess. 

Take a step back once in a while to review how you think about DEs in light of campaigns and journeys. 

Use naming conventions and folder structure!

AND

🛠️ Define in Data Designer/Contact Builder

Use these tools to structure your data model. It pays off, especially for segmentation, personalization, and reporting.

For instance, some Journey Builder-driven personalization only works if you have related your DEs in Data Designer. 

AND

📊 Flatten Tables with SQL

To make your data actionable, sometimes you need to flatten it. 

SQL is your friend here, transforming complex data relationships into a format ready for targeted marketing.

AND

🎯 Data-Driven Personalization

This is very much linked to the previous point...

The more precise your data, the less you rely on complexities like AMPScript. 

Get the data right, and even your HTML development becomes more straightforward.

AND

🔍 Reporting on Data Views

SFMC has hidden gems like Data Views (and also the Send Log! 💡).

These 'invisible' Data Extensions are crucial for deep-dive analytics.

AND

🚀 Consistent Reporting via Journey Builder

Launch all sends through Journey Builder for uniform reporting. 

It makes tracking and comparing campaign performance a breeze.

...

Getting to grips with SFMC's data model isn't just about managing data; it’s about transforming it into a powerful marketing tool.

#salesforcemarketingcloud

---

PS: Of course, during my journey, I also learned that many marketers struggle with SQL. 

And even if you know SQL (I taught myself), it's not particularly fast, given you need to create DEs manually, debugging is hard, you end up being the bottleneck for non-tech marketers,...

That's why we came up with DESelect Segment a few years ago, and been rocking it since! 🚀

More info here: www.deselect.com/segment

CEO @ DESelect →Turnkey optimization for your Marketing Cloud

What is the significance of SFMC's data model?

How can SQL be used to make data actionable in SFMC?

What are the benefits of using Data Designer/Contact Builder?

Relational data model in SFMC Contact Builder

On Monday, we upgraded one of our client's IaC codebases from Terraform 1.5.7 to #OpenTofu v1.6.1!!!   🎉 🥳 💥 🍜 

Here are some interesting stats about this client's infrastructure + IaC Codebase:

1. In this repo, there is 39,764 lines of Terraform code across 485 `*.tf` files. 
2. There are 53 root modules in the codebase.
3. There are 90 root module instances (read "state files")
4. If we add up all the resources in those state files, there is ~2400 resources under management. 

How many errors did we run into across all that terraform? How many changes to the actual terraform code did we need to make to accommodate tofu? NONE. ZERO. 🎉 ❤️

I'm stoked on these stats! Tofu went GA and successfully delivered on their mission: A zero-changes-required alternative to Terraform that is fully open source. That's awesome and props to the hardworking community and contributors who made it happen! 🙌

We'll have a post on this upgrade hitting the Masterpoint blog coming soon!

If you're interested in doing this at your org so you're not stuck on TFC then reach out and we'd be happy to chat!

#terraform #iac #infrastructure #platforms #platformengineering #tofu #infra

CEO @ Masterpoint | We help software teams focus on their product instead of AWS

I have been working in the data industry for over 5 years.

Since starting as a Data Analyst and working my way up to a Power BI Lead, I have learned a lot about what it takes to solve some of the biggest problems people face in our industry concerning the effective use of data visualization and its power to drive decision making. In fact, they are a lot easier to solve than most people think. You just need to change how you think about them.

Over the years, I have read countless books on the subject of data visualization and storytelling. One book that has stood out for me and I encourage you to give this book a read.

___________________________
"Storytelling with Data" by Cole Nussbaumer Knaflic

I first read this book in 2019.

And here's why you'll love it: It demystifies the concept of data visualization for beginners and experts alike, teaching you how to effectively communicate complex data through compelling stories. This book is a practical guide that enhances your skills in turning dry data into engaging narratives, making your analyses not only insightful but also memorable.

Here it is, and how to solve them:

Problem #1: Overwhelming Data: 
Learn to distil large datasets into clear, concise visuals that tell a story.

Problem #2: 
Engaging the Audience: Use storytelling techniques to make your data presentations captivating and relatable.

Problem #3: 
Maintaining Accuracy and Ethical Standards: The book emphasizes the importance of presenting data truthfully and responsibly.

See? That wasn't so hard.
___________________________

What other books would you recommend that are tool-agnostic? Let's learn from each other. 👇🏼

Repost this with your network and teach the importance of the basics.

✅ Let's together Demystify the Tech.

✅ Keep Learning !! Keep Growing !!

---------------

Hi, I'm Neil 👋🏼. I am sharing posts and resources to help you become a better #data #analytics professional and navigate the world of data confidently.

🔔 Join 81 others subscribed to my short FREE newsletter where I break all the technical jargon: https://lnkd.in/gwgc_8WR

Power BI Lead, Senior Data Analyst & Azure Data Engineer | Author of "The Analytical Alchemist" Newsletter

Excited to share this fun conversation on Data as a Service Businesses with Howard Koenig!

The data as a service business model is a big opportunity for companies looking to commercialize their data, and Howard has a lot of insights from his many years leading companies in the space.

Most tools in the world of data are built for internal data. 

Delivery Layer is built for customer facing data.

Data doesn't drive revenue sitting untouched in your data warehouse.

Somehow you need to get it to your customers.

That's where Delivery Layer fits in.

It's a platform that allows you to build customer-facing web applications and APIs that you can be proud to offer your customers. We launch in days or weeks what otherwise would take years.

Are you a data company selling a product built on your data? Are you a consulting company or agency that wants to provide an application for customers instead of a powerpoint deck? Are you a partnerships team that needs to share crucial information with partners outside your company?

Get in touch.

Prior to Delivery Layer I was VP of Data Strategy at Helium 10 where I led all things data (Data Engineering, Data Science, Data Product Development and Analytics). I previously ran product & analytics with P&L responsibility for Nielsen Sports, the global leader in Sports Sponsorship data.
  
Early in my career I ended up with the mix of statistical, business analysis and programming skills that would turn into the ideal background for a data scientist. Since then, I've been leading data teams, building data products and running data businesses.

My philosophy is that data isn't the hero - it's the sidekick. It's only valuable if it improves the lives of your customers, or helps someone make better decisions.

Solomon Kahn

𝗜𝘁’𝘀 𝘁𝗶𝗺𝗲 𝗳𝗼𝗿 𝘁𝗵𝗲 𝗻𝗲𝘅𝘁 𝗯𝗶𝗴 𝘀𝗵𝗶𝗳𝘁 𝗶𝗻 𝗱𝗮𝘁𝗮 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 𝗳𝘂𝗻𝗱𝗶𝗻𝗴.

As a Chief Data Officer, when you ask for funding - position data as a...

***

500+ data executives are subscribed to the 'Leading with Data' newsletter. 

Every Friday morning, I'll email you 1 actionable tip to accelerate the business potential of your data & make it an organizational priority.

Would you like to subscribe? Click on ‘View My Blog’ right below my name at the start of this post.

Accelerate the Business Value of Your Data & Make it an Organizational Priority | ex-CDO advising CDOs at Data4Real | Global Data Power Women | Drove Data at Citi, Deutsche Bank, Voya and FINRA

In my journey as a Data Analyst, I have often come across the notion that one must specialize in a specific area. 

While specialization is indeed vital, I firmly believe that it's equally important to cultivate a broad understanding of various aspects in your field.

From working on supply chain problems at a pharmaceutical company to working as a data analyst resolving data quality issues at RBC Capital Markets, I've learned that versatility is key. 

It's not about doing everything but having an appreciation for all facets of your work and being able to connect the dots.

So if you're just starting out or contemplating a career shift into data analytics, remember - you can do it all! Don't limit yourself. 

Embrace learning opportunities and never shy away from challenges. 

A well-rounded skill set coupled with continuous learning is the pathway towards success in this dynamic field!

What was your journey like into data analytics? Do you come from a pure technical background or from a business background?

#dataanalytics #career #dataachievers
---
P.S: I've noticed that people coming from a business background turn to succeed a lot more in data analytics than people with a pure technical background

I love to identify hidden business opportunities that lie in data and bring them to life with compelling visualizations.  I spend time setting clear goals, plans of action, and risk mitigation strategies for data analytics projects before even collecting data. 

I am a data analytics professional with a strong background in supply chain and marketing. I am passionate about data engineering. I love a good journey🚘, be it a journey in an RV truck across country, a learning journey📝 , or a customer journey with multiple touch points, or a data pipeline from source system to end user application. I am always curious to know what I can learn about a customer's journey to ensure it is seamless.😊

At RBC I have developed my customer-focused problem-solving mindset at the awareness stage and consideration stages of the business's marketing funnel. I worked closely with partners across the delivery channels (branch and telephone) to deliver exceptional customer service to clients to meet their banking needs. 

At RBC Capital Market, as a Senior Data Analyst, I own the process of ensuring data sent to report owners are fit for purpose (without data quality issues). Build data quality rules using SQL. Build Tableau dashboards to monitor data quality of critical data elements (CDE's) in production 

My experience working with cross-functional teams and creating a sense of synergy in the achievement of a common goal has proven to be a valuable value add. I helped in the resolution of data quality issues by proposing changes to how data is transformed both upstream and downstream.

I am always on the lookout for technologies that improve my workflow; I will take a week or so and dive deep into a data technology to see if it’s a good fit for a side project I'm working on and put aside if not. 

When I'm not working I am with my family making sure we are living every moment and making it count. You can also find me with my headsets listening to the next big rising artist of our generation and exploring new genres of music - I am a big lover of Afrobeats and Cameroonian cuisine 🇨🇲 

---
Current Status: Helping folks get their First Data Analyst roles - DM me to learn more

Peter Ndiforchu

Unlock the secrets of data 🧵

Checkout this SQL Beginners Guide that helps you in your career.

♻️ Repost this if you learned something new 💡

➼ For downloadable 𝐃𝐒𝐀/𝐑𝐞𝐚𝐜𝐭𝐉𝐒/ 𝐀𝐈/ 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 learning materials, please check out my previous posts ➼  Aditya Singh 📈

Do "Like" this post 👍🏻
➼ Share Your Valuable thoughts in the "Comment" ⏬ section.

P.S. Join me 🔋 and learn along with 17,000+ members every day ☣️.

cc: Vikas Rajput

#sqldatabase #sqlserver #sqlqueries #sqlite #sqldeveloper #sql #sqlquery #sqlskills #sqlchallenge #data #dataanalyst #database #databricks #datascience #mysql #oraclesql 

SQL FOR BEGINNERS 

Have you been doing this for a while? 

 ❌ You've been watching reels and YouTube videos on data careers for some time now.                 
❌ You've even downloaded some free roadmaps.                            
❌  You may have enrolled in some data courses.                             
❌  Now you're looking to understand what the different data roles entail so that you can get Clarity on what role you can pursue.                    
❌  You must have researched, asked for advice, and stalked Instagram influencers to know 'What is the difference between a data analyst and a data scientist?'

✅ ✅ This course will exactly answer these questions. ✅ ✅ 

https://lnkd.in/g-it_vMY

#data #dataanalytics #datascience #ai #genai #dataanalyst

From Data Analytics to AI, Content Creation & Entrepreneurship

I started my career in data analytics, working with numbers, insights, and decision-making. But I quickly realized that beyond technical skills, AI, storytelling, and strategic content creation are what truly drive influence and business growth.

Over time, I transitioned from being a data analyst to a content creator, entrepreneur, and educator, building a 150K+ strong community across LinkedIn, Instagram, and YouTube. Now, I help professionals, solopreneurs, and businesses leverage AI, build personal brands, and monetize their expertise.

🎓 Currently expanding my entrepreneurial knowledge through Cornell’s Entrepreneurship Program.

What I Do Now

✅ AI & Business Growth – Helping professionals and solopreneurs integrate AI into their workflow.
✅ Content Creation & Digital Strategy – Teaching how to use AI for storytelling, marketing, and monetization.
✅ Entrepreneurship & Course Building – Developing tools and systems to help people create & scale businesses.

Why AI & Content?

AI isn’t just a trend it’s a lever for growth, automation, and strategic decision-making. I believe AI and content creation, when combined, can help anyone:

💡 Learn faster and smarter
📊 Build credibility & authority
🚀 Scale their business or career

Whether you’re looking to grow your personal brand, monetize your knowledge, or use AI to automate and scale, I’m here to share insights and strategies that work.

Let’s Connect

I love collaborating on AI, content creation, and business automation. If you’re interested in discussing:
📩 AI for business growth & automation
📩 Monetizing content & digital products
📩 Entrepreneurship & strategic storytelling

Lekhana Reddy 

DATA, DATA, DATA

In SAP implementations, the complex end-to-end data workstreams connecting various business processes and software systems often fail to meet expectations. This shortfall can be attributed to several key factors:
Inadequate Planning and Scoping: SAP projects tend to focus heavily on software configuration while neglecting data integration requirements. Critical details such as legacy system dependencies, data cleansing, and validation are often overlooked, leading to cost overruns.
Underestimating Data Complexity: SAP deployments involve consolidating data from multiple sources with varying formats and quality levels. Mapping, transforming, and loading heterogeneous data is often underestimated, resulting in unforeseen issues during implementation.
Integration Challenges: Integrating third-party systems like CRMs and payroll introduces complexities that project teams struggle to manage. These interconnectivity requirements are often underestimated during project planning.
Testing Shortcuts: Aggressive timelines lead to shortcuts in SAP testing, with a focus on functionality rather than end-to-end data testing. Rushed data validation checks can result in errors and incomplete migrations.
Weak Data Governance: Many SAP clients lack strong data governance, leading to poor data quality and inconsistencies across systems. Attempting to consolidate fragmented datasets into SAP becomes challenging.
Operational Disruptions: Migration missteps can disrupt business processes, leading to conservative cutover plans. However, this can result in insufficient validation and reconciliation of migrated data.
Legacy Decommissioning Delays: Legacy applications often remain in parallel due to migration challenges, increasing costs and overhead.
Insufficient Training: Tight timelines leave little room for training resources new to SAP data methodologies, slowing down problem diagnosis and rework.
Specialized Skill Gaps: Project teams often lack specialized skills needed for SAP data migrations, such as interface protocols and data consolidation.
In summary, SAP data migration efforts fall short due to inadequate planning, underestimation of data complexity, integration challenges, testing shortcuts, weak data governance, operational disruptions, legacy decommissioning delays, insufficient training, and specialized skill gaps. Addressing these challenges is crucial for successful SAP data workstream execution and outcomes.

Connect with Ricardo Rosales from Syniti  for a in depth discussion about SAP Data implementations.

We all have lot of data but
❓ Do you have the problem 

Of not being able to find the data? 
Or let's say the right data? 🎯

📌 You have a data catalog tool or built inhouse catalog solution, but still data cannot be easily discovered by stakeholders.  

📌 Data team spends most of the time helping others locate and understand the data. This is not a value add of data team capabilities.

Are you experiencing similar challenges? 

Leading High-Performance Analytics Teams| Public Speaker | Author of "Thriving in a Data World" Book | Driving Customer Success Through Data Strategies | Transforming Numbers into Compelling Narratives

Who's ready to nerd out!!!

The team at the World Staffing Summit decided we needed some data

So Vidur Raj and I had to oblige

So join us at 5pm EST tomorrow  to talk all things 

Data and how having a data strategy can help you grow. 

📣 Breaking News! We're looking for a dynamic Power BI Developer 🖥️ who is ready to embark on a thrilling new journey with our team. If you have a fire 🔥 in your belly for consultancy and data, this opportunity could be your big break 💥. 
 
🟥 Please like, comment and repost with your network to help get this news out there. 
 
Our perfect match is someone who speaks fluent 'Power BI.' Someone who knows the tool and DAX. Your ability to play with data, design functional dashboards and transform them into captivating insights will be paramount in this role. Imagine your work having the power to influence key business decisions! 💼 
 
Experience managing client projects is also a must. Efficiency, agility and a knack for maintaining smooth client relationships would make you shine in this position ✨. 
 
Imagine being part of our energetic team, working on exciting projects, and contributing to our mission. Are you the one we're looking for? 🤔 
 
Don't let this golden opportunity 🏆 pass you by. If you're the Power BI whizz we're after, or you know someone who fits the bill, get in touch by the end of February. 
 
Further details: 
-- Must have the right to work in the UK 
-- This is a hybrid role, and you must be able to come into the Manchester office weekly 
-- Ideally based in Manchester or the surrounding area 
-- No Recruitment Agencies, thanks! 
 
How to Apply 
--Send your CV in a message, and I'll pass it on to the hiring manager. 
 
Remember, the sky is NOT the limit - it's just the beginning. We will help you boost your career into the stratosphere 🚀. Ready for launch? 
 
🟥 Again, please share with your network to help get this out there. Thanks! 
 
#hiring #powerbi #careers #analytics #businessintelligence

I love to dig into customer problems and solve them with modern technology. I create, scale and optimize data portfolios that matter. To accomplish this, I focus on delivering key outcomes, building amazing teams and quickly adapting to new learnings. 

I have enjoyed many executive positions throughout my career in consultancy, project management, technical sales, data engineering, and business strategy. My personal and professional experiences have taught me the following about myself:

I can successfully scale up software businesses from £0 to £1M in revenue.
- I put the customer at the center of all that I do.
- I excel at the execution of big ideas with given constraints
- My gut instinct is good but I seek data for my decisions

I can align, lead and grow world-class product teams from 10 to 100 people.
- I love to win, but helping the team win gives me greater joy
- I speak tech and exec 
- I tell great narratives that motivate 
- The buck always stops with me

I educate, refine and drive myself to be a better person
- I am constantly learning because I never settle
- I stay calm when faced with adversity
- I focus on making high-quality decisions

I enjoy meeting new people and hearing new perspectives. Reach out if you want to talk to me about emerging tech, creating software products or rugby. 

Professional Skills
Product Management | User Experience (UX) Design | Data Analytics | Team Development | Market and Pricing Analysis | Strategic Planning | Product Development | Product Roadmap | Portfolio Strategy | Business Development | SaaS | Agile Development | Marketplace Platforms

Domain Knowledge 
Microsoft Stack | IT and Data Security | IT Management Software | Enterprise Software | Small Business Software | Artificial Intelligence | Data Visualisation

Luke Howard

Day Job: I build Data Warehouses and design Data Products | Side Hustle: I make free content showing how I do it ⬇️

Why WebHR is better than age old ERPs and how is it,  the future of HR ? 
 
WebHR redefines the age-old ERP systems. It's not just about modern aesthetics or a sleek interface, it's about embracing a new era of digital transformation in HR management. Unlike traditional ERPs, WebHR offers a cloud-based, comprehensive solution tailored to meet the evolving needs of HR teams.   
 
WebHR stands out in its ability to improve efficiency and productivity. It automates repetitive tasks, freeing HR professionals to focus on strategic initiatives. 
 
Where ERPs can be costly, WebHR provides a cost-effective solution without compromising on quality or functionality. It's accessible, flexible and more importantly, scalable. With WebHR, there is no need for expensive hardware or  software maintenance    
Finally, the game changer - WebHR’s rich analytics. It empowers businesses with data-driven insights for informed decision making. This is the future of HR - intuitive, innovative, and intelligent.    
 
Consider a classic like SAP, known for its robust architecture, with a hefty price tag and a solid reputation for grueling implementation. Or the ever-popular Oracle, a beast of an ERP, that takes more effort to maintain than most small businesses could afford. Now, let's compare these titans to our own David in the field - WebHR.   
 
SAP and Oracle are like that old Cadillac in your grandpa's garage. They're nice to look at, have some serious horsepower under the hood, but good luck getting anywhere fast. They require a small army just to keep them running; constant upgrades, patching bugs, and not to mention the fuel consumption - yikes!   
 
Now enter WebHR - the Tesla of the HR tech game. Sleek, smooth, and streamlined to take off from zero to sixty in under 3 seconds. While SAP and Oracle require massive upfront investments and extensive implementation periods, WebHR is ready to roll right off the lot.    
 
Consider the numbers: SAP implementation costs on average a whopping $4.5 million and 14 months to implement. Oracle isn't far behind with a $2.6 million price tag and as long as 23 months to implement. WebHR? It comes in a fraction of the cost and can be up and running in less than a week.  
 
And let's not forget the priceless benefits of the environment-friendly, noise-less and user-friendly ride WebHR offers. With its cloud-based design, it not only reduces your carbon footprint (bye-bye, server rooms!), but also provides a quieter, smoother, more enjoyable ride for your HR team. 
 
Save the planet, save your sanity, #ChooseWebHR. Say goodbye to your grandfather's ERP, and hello to the future - #HelloWebHR. Browse our features, plans and more at https://web.hr  #WebHR #FutureOfHRTech #GoneDigital #HRMRevolution #NoMoreERP

How does WebHR compare to traditional ERPs?

What are the benefits of using WebHR over SAP and Oracle?

No alternative text description for this image

Technologists - Your business colleagues are not your enemy.

- They are not opposed to technology; they are concerned about its expense.
- They are not opposed to your solutions; they question if they solve their pain.
- They are not opposed to your timeline but are excited to see the benefit. 

Their problems are your enemy.  

The sooner you live this, the better the results. 

#outsmartchaos #dataanalytics #leadership #tech 

Taplio

Top trending Linkedin posts about data

Explore this list of the top LinkedIn posts related to data. Check them out to know what's hot right now.

Top trending Linkedin posts about "data"

Want to drive more opportunities from Linkedin?

Check out other trends: