Miguel Yandu

Miguel Yandu

1622561437

IMPORTRANGE Function in Google-Sheets: Transfer and Filter Data Easily ✅ + How to Fix Errors

Watch this step-by-step IMPORTRANGE function tutorial for Google Sheets by Railsware Product Academy. In this video, you will learn to :

✅ Transfer data between the spreadsheets (or tabs) using the IMPORTRANGE function
✅ How to combine IMPORTRANGE with other functions, like SUM, ARRAYFORMULA, etc.
✅ Apply conditions for IMPORTRANGE with QUERY
✅ Apply some useful hacks, like how to get rid of empty rows, duplicate headers, etc.

📝To follow along, make your copy of the practice sheets below:
Destination file: http://bit.ly/practice-imptrng-dest
Source file 1: http://bit.ly/practice-imptrng-sc1
Source file 2: http://bit.ly/practice-imptrng-sc2

📘Read this useful blog post to learn more tricks with IMPORTRANGE: http://bit.ly/blogpost-rw-imptrng

🔌We use Coupler.io (the tool shown at 13:27) to import data between multiple Google Sheets files, as well as from other sources (e.g. Pipedrive, Hubspot, CSV, and many more): http://bit.ly/coupler-rw-imptrng

Timestamps:

  • 0:00 Why transferring data manually is not the option
  • 0:11 What makes the IMPORTRANGE function so useful
  • 0:44 How to use the IMPORTRANGE function (basic example)
  • 1:53 Transfer data from a specific tab
  • 2:29 Make sure the updated data is transferred automatically
  • 3:16 Transfer data between multiple spreadsheets
  • 4:39 Importing from two unlimited ranges
  • 4:59 Get rid of empty rows
  • 5:59 Get rid of repeated headers
  • 6:33 Transfer data within the same file (between the tabs)
  • 7:23 Import the totals (IMPORTRANGE and SUM functions)
  • 8:32 Import filtered data (IMPORTRANGE and QUERY functions)
  • 12:05 IMPORTRANGE errors and how to fix them
  • 13:26 How to use the Gsheets importer (Coupler.io)
  • 14:12 Summary

We’d love to hear from you!🙋‍♀️💬 Share your IMPORTRANGE cases in the comments ⬇️ Make sure to subscribe and hit the bell button 🔔 to learn more Google Sheets tricks coming up soon!

Design and video production: Oleg Gorovoi, Vlad Shagov
Cases: Natalia Gorovaia
Speaker: Karina Plastun

#google-sheets #developer

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IMPORTRANGE Function in Google-Sheets: Transfer and Filter Data Easily ✅ + How to Fix Errors
 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Miguel Yandu

Miguel Yandu

1622561437

IMPORTRANGE Function in Google-Sheets: Transfer and Filter Data Easily ✅ + How to Fix Errors

Watch this step-by-step IMPORTRANGE function tutorial for Google Sheets by Railsware Product Academy. In this video, you will learn to :

✅ Transfer data between the spreadsheets (or tabs) using the IMPORTRANGE function
✅ How to combine IMPORTRANGE with other functions, like SUM, ARRAYFORMULA, etc.
✅ Apply conditions for IMPORTRANGE with QUERY
✅ Apply some useful hacks, like how to get rid of empty rows, duplicate headers, etc.

📝To follow along, make your copy of the practice sheets below:
Destination file: http://bit.ly/practice-imptrng-dest
Source file 1: http://bit.ly/practice-imptrng-sc1
Source file 2: http://bit.ly/practice-imptrng-sc2

📘Read this useful blog post to learn more tricks with IMPORTRANGE: http://bit.ly/blogpost-rw-imptrng

🔌We use Coupler.io (the tool shown at 13:27) to import data between multiple Google Sheets files, as well as from other sources (e.g. Pipedrive, Hubspot, CSV, and many more): http://bit.ly/coupler-rw-imptrng

Timestamps:

  • 0:00 Why transferring data manually is not the option
  • 0:11 What makes the IMPORTRANGE function so useful
  • 0:44 How to use the IMPORTRANGE function (basic example)
  • 1:53 Transfer data from a specific tab
  • 2:29 Make sure the updated data is transferred automatically
  • 3:16 Transfer data between multiple spreadsheets
  • 4:39 Importing from two unlimited ranges
  • 4:59 Get rid of empty rows
  • 5:59 Get rid of repeated headers
  • 6:33 Transfer data within the same file (between the tabs)
  • 7:23 Import the totals (IMPORTRANGE and SUM functions)
  • 8:32 Import filtered data (IMPORTRANGE and QUERY functions)
  • 12:05 IMPORTRANGE errors and how to fix them
  • 13:26 How to use the Gsheets importer (Coupler.io)
  • 14:12 Summary

We’d love to hear from you!🙋‍♀️💬 Share your IMPORTRANGE cases in the comments ⬇️ Make sure to subscribe and hit the bell button 🔔 to learn more Google Sheets tricks coming up soon!

Design and video production: Oleg Gorovoi, Vlad Shagov
Cases: Natalia Gorovaia
Speaker: Karina Plastun

#google-sheets #developer

Sid  Schuppe

Sid Schuppe

1617988080

How To Blend Data in Google Data Studio For Better Data Analysis

Using data to inform decisions is essential to product management, or anything really. And thankfully, we aren’t short of it. Any online application generates an abundance of data and it’s up to us to collect it and then make sense of it.

Google Data Studio helps us understand the meaning behind data, enabling us to build beautiful visualizations and dashboards that transform data into stories. If it wasn’t already, data literacy is as much a fundamental skill as learning to read or write. Or it certainly will be.

Nothing is more powerful than data democracy, where anyone in your organization can regularly make decisions informed with data. As part of enabling this, we need to be able to visualize data in a way that brings it to life and makes it more accessible. I’ve recently been learning how to do this and wanted to share some of the cool ways you can do this in Google Data Studio.

#google-data-studio #blending-data #dashboard #data-visualization #creating-visualizations #how-to-visualize-data #data-analysis #data-visualisation

Ian  Robinson

Ian Robinson

1623813810

Filtering Data to Deliver Improved Data-Driven Decisions

Data cleansing or scrubbing is a form of data management. Although over the years, businesses accumulate a lot of personal information; ultimately, information becomes outdated. For instance, more than ten years one may change address or name, and then change the address again.

Data cleansingt is a process in which you go through all of the data within a database. And you require removing or updating information that is incomplete, improperly formatted, duplicated, or irrelevant. It typically involves cleaning up data compiled in one area. While data cleansing involves deleting information, it is focused more on updating, correcting, and consolidating data to make sure your system is effective as possible.

The data cleansing process is generally done at once; however, it can take a while if the information has been piling up for years. That’s the reason why it’s essential to perform data cleansing regularly.

#big data #data management #latest news #filtering data to deliver improved data-driven decisions #filtering data #data-driven decisions