Mixpanel’s Post

Query optimization is an essential part of working with big data—otherwise, you’ll run into issues with long-running queries, potential timeouts, and additional compute costs. Some optimizations will make your queries more efficient, while others can help you get more data with fewer passes. In this post, you’ll learn how to use WITH ROLLUP to calculate the percentage of each item in a data set in a single pass. Read On: https://lnkd.in/eQypbmiu

According to DataStax, a whopping 71% of revenue growth is tied directly to real-time data. 📈 👋 Say goodbye to traditional data stacks, complex code, and resource-heavy setups, and learn about our seamless real-time data engineering service that empowers you to focus on what matters most. 🔗: https://bit.ly/45DbY7U #RealTimeData #StreamProcessing

#75DaysOfDataWizardChallange #Day:-1️⃣1️⃣ #PowerBi 📊 Explaining MTD, QTD, and YTD in DAX In the world of data analysis, understanding time-based calculations is essential. DAX offers powerful functions to help us do just that. Let's break down MTD, QTD, and YTD in a simple way: ⏩️ MTD (Month-to-Date): 🗓️ ● MTD calculates the total for the current month up to the selected date. ● For example, on October 15th, MTD includes data from the beginning of October to October 15th. ✔️Syntax: - TotalMTD = TOTALMTD(SUM([Sales]), 'Date'[Date]) 🔸️This will give you the MTD total of the "Sales" column, based on the "Date" column. ⏩️ QTD (Quarter-to-Date): 🗓️ ● QTD calculates the total for the current quarter up to the selected date. ● On October 15th, QTD includes data from the beginning of the current quarter (e.g., July 1st) to October 15th. ✔️Syntax: - TotalQTD = TOTALQTD(SUM([Revenue]), 'Date'[Date]) 🔸️This will give you the QTD total of the "Revenue" column, based on the "Date" column. ⏩️ YTD (Year-to-Date): 🗓️ ● YTD calculates the total for the current year up to the selected date. ● On October 15th, YTD includes data from January 1st to October 15th of the same year. ✔️Syntax: - TotalYTD = TOTALYTD(SUM([Profit]), 'Date'[Date]) 🔸️This will give you the YTD total of the "Profit" column, based on the "Date" column. These calculations are invaluable for tracking and comparing data over specific time periods in your analytics journey. 💼📈 #DAX #DataAnalysis #LinkedInLearning #HappyLearning😊 #KeepSmile 😇

This step-by-step video tells you everything you need to know about getting started 🚀 with #RealTimeOptions data --> https://hubs.ly/Q02xMwv_0 #realtimeoptionsdata #optionsapi #stockmarketapi #realtimeoptionsapi #optionsdata #options #optionstrading

🌟 Tomorrow, June 6th! Join Observable team members at 10 am PDT for a practical intro to data loaders. What to expect: • Data loader essentials — what they are and why you should use them • Advanced and unexpected data loader strategies • Our favorite tips for making the most of data loaders Register now: https://buff.ly/3USqAN8

We've said it before and we'll say it again: External data is a special kind of hard. ...And schema changes make external data even harder. But it doesn't have to be that way. We've gotten questions about how we handle this problem when we integrate and deliver external data, so we wrote this explainer on the 3 ways Crux makes dealing with schema changes easy: https://bit.ly/3REucCj

Welcome back to your Wrap of what we shipped in Equals: New Big data? No problem. Workbooks now handle up to 500,000 rows so you can dive in to your heftiest analyses. Improved Pivots now handle more special cases, including manually edited date ranges and whitespaces in date values. Fixed • Fixed an issue with deleting calculated columns • Fixed an issue where import scripts may display query builder join functionality And that's a wrap! Until next time.

Last month and a half recap Zenlytic 📈 1) Launched Zoë 3.0, with improvements that include: → 7x faster responses for quicker outputs → CSV uploads to simplify overall data input → Data self-correction to reduce first-try errors 2) Shipped support for Markdown on dashboards Now, you can link between dashboards, have text intros, and format everything you need in Markdown. 3) Shipped dashboard folders Now, you can easily organize dashboards much more easily on your homepage. 4) Shipped massive upgrades to our admin UI Now admins can easily see what their business users are asking Zoë about and start to enable new data use cases they didn’t even know about before. More exciting stuff is in store! How is the holiday season going for you?

Learn to go #pipelinefree with #realtimeanalytics in this #dbta #webinar starting in 30m (2p EDT) https://lnkd.in/eK9_BE9C #celerdata #realtimedata #analytics #realtime #database #bigdata #bigdataanalytics

Related Function in DAX👇👇👇👇👇👇👇 👉Returns value from each row of a table based on some relationship with other tables. 👉Works on the one side of the one-to-many relationship. 👉Be on the many side and reach over to the one side. 👉This function requires a row context and is therefore used as a calculated column. 👉Syntax: Related(the name of column from related table) Thank you Maven Analytics for the explanation. #dax #powerbi #mavenanalytics