Amazon’s Big Spring Sale Is Tomorrow. Our Readers Are Already Eyeing These Tech Deals


Amazon’s Big Spring Sale kicks off tomorrow. While some deals are already here, from March 25 to 31, the online retailer will be discounting hundreds of items, including personal and home tech gadgets. New tech models are expected this spring and fall, but if you’re OK with slightly older models, Amazon’s sale could be a good time to upgrade your devices at a steep discount. 

We’ll be tracking the best deals to keep you in the loop, but if you’re curious about what people are shopping for this week, we found the crowd favorites for you. We used anonymous click and purchase trends from our Data and Commerce teams to find the popular picks. No personal data was involved. 

Here’s what our readers are eyeing, and what deals are worth the buzz. 

TECH DEALS OF THE WEEK

Deals are selected by the CNET Group commerce team, and may be unrelated to this article.

Sony WH-1000XM6

sony-wh-1000xm6-on-marble-1.jpg

David Carnoy/CNET

The Sony WH-1000XM6 is considered the “new noise-canceling king,” according to David Carnoy, CNET’s audio expert. These headphones improve on Sony’s other models with a more comfortable fit, better noise cancellation than the Bose QuietComfort Ultra Headphones and solid voice call performance. The XM6 headphones also have spatial audio with head tracking. 

Watch this: Sony WH-1000XM6 Review: Cream of the Noise-Canceling Crop

If you already have a pair of headphones you love, or the XM5, Carnoy doesn’t think it’s worth rushing to upgrade. However, if you have the XM4, Amazon’s sale on these headphones may be worthwhile. 

Sony’s XM6 headphones are currently $398 on Amazon. This week, the headphones will be marked down to $368, a $30 discount. 

Shark Stratos cordless vacuum 

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The Shark Stratos is our pick for the best overall cordless vacuum due to its strong performance on both hardwood and carpet.

Shark/CNET

The Shark Stratos vacuum ties with the Eureka ReactiSense 440 as CNET’s best overall cordless vacuum. Even though it’s more expensive than the Eureka vacuum, it’s still half the price of other top cordless vacuum cleaners. 

CNET loves it for the powerful suction and cleaning performance on both hardwood and carpet. During CNET’s lab test, the Stratos picked up an average of 95% of sand across three floor types. The Stratos’ five-year warranty and replaceable batteries also make it a top overall pick. 

It originally lists for $500 but is $300 on Amazon right now.

Samsung 65-inch OLED S90F 4K smart TV

Samsung 77-inch S90F against CNET's commerce background.

Samsung/CNET

The Samsung OLED S90F 4K Smart TV is a top contender for the best OLED TV value for 2026, despite it being last year’s model. 

If you’re eyeing Samsung’s S95F, the S90F has the same picture quality for a lower price. It also has fast motion for gamers and the best shadow detail, and the same contrast quality as other OLED TVs. However, you’ll see any direct light sources if it’s facing a window or in a bright room. 

Watch this: Samsung Micro RBG TV vs. Samsung S90F: Battle of the Enormous TVs

Another top pick is the LG C5, which CNET likes for its good image quality and high contrast levels. However, it’s slightly more expensive. The S90F is currently $1,398, but will drop to $1,348 during Amazon’s Big Spring Sale. 

Google Nest Doorbell (second generation)

Google Nest

Amazon/CNET

The Google Nest Doorbell is a runner-up to CNET’s top pick, the Arlo 2K video doorbell, but don’t get us wrong: The battery-powered Nest Doorbell is still one of CNET’s favorites for a few reasons. 

The second generation of the Nest video doorbell includes AI-powered smart notifications to detect packages, pets and people as well as three hours of video storage — all for free. It also works with Amazon Alexa and Google Home voice assistants, and is easy to install. However, if you’re looking for the latest and greatest, Google has a third-generation wired doorbell camera with Google’s Gemini AI. 

That said, if you’re looking for a battery-powered option, the second generation will be $140 during the sale — originally at $180.

Google Pixel Buds Pro 2 

google-pixel-buds-pro-2.png

Google/CNET

If you’re familiar with the first generation of the Google Pixel Buds, the Google Pixel Buds Pro 2 have a few differences that may make them worth snagging during Amazon’s sale. 

They’re smaller, lighter and have a “twist to adjust stabilizer” to help the buds fit snugly in your ears. Compared with the original buds, the Buds Pro 2 deliver improved sound quality and solid voice-calling performance, though they don’t quite match the best earbuds.

Watch this: Google Pixel Buds Pro 2 Hands-On: A Big Upgrade

How much you like these earphones will largely depend on how well they fit. With a good seal, you can expect excellent sound quality, solid noise cancellation and full functionality on Android or Google devices. If the fit is poor — or if you’re using Apple devices — the experience won’t be as strong.

If you’re looking for other options, the Google Pixel Buds 2A are a budget-friendly choice. 

The Pixel Buds Pro 2 will be down to $170 from $229 during Amazon’s Big Spring Sale. 

Elegoo Centauri Carbon 3D Printer CoreXY

screenshot-2026-03-20-at-12-47-01pm.png

ELEGOO/Amazon

The Elegoo Centauri Carbon 3D Printer CoreXY didn’t make CNET’s cut as one of the best 3D printers in town. However, it offers four-color printing and automatic refills with tangle detection, with speeds up to 500 millimeters per second. You can use Elegoo’s other design tools, too, and the printer promises smooth results.

CNET recommends other 3D printers, including the Bambu Lab P2S for its four-color system and detail, too. And Elegoo has a new printer, the Carbon 2, which has upgraded hardware and features, including a new design, a temperature controller, sensors and zone-leveling modes with more accurate calibration. 

In this case, it may be best to shop around and compare prices. The Elegoo Centauri Carbon 3D Printer CoreXY costs $380 and will be discounted to $300 during Amazon’s sale. 

Fitbit Charge 6 

screenshot-2026-03-20-at-12-45-12pm.png

FitBit/Amazon

The Fitbit Charge 6 is Fitbit’s newest fitness tracker, and CNET sees it as a solid upgrade from the Charge 5. It brings notable features, including electrodermal activity tracking for stress, along with strong battery life and built-in GPS.

The Fitbit also includes blood oxygen monitoring and workout-based song recommendations when paired with a YouTube Music Premium account. You can treat the Charge 6 as a companion to your phone, as you’ll need it nearby to change songs or adjust headphone volume.

However, it’s worth noting that some features require a $10-a-month Fitbit Premium subscription, like the Daily-Readiness Score and workout plans. But the subscription is not required to use the Fitbit Charge 6. 

The Fitbit Charge 6 will be down to $120 from $160 during Amazon’s Big Spring Sale this week. 

Shopping Amazon’s Big Spring Sale? Start here

CNET is tracking all of the best tech deals to help you save money during Amazon’s Big Spring Sale, but don’t stop there. 

Other retailers have sales this week, including Target’s Circle Deal Days from March 25 to 27. Usually, Walmart and Best Buy tag along to offer competitive sales, too, but Best Buy’s Tech Fest is over, and Walmart hasn’t announced a sale yet. 

It may seem like Amazon’s sale is the only place to spot a good deal on tech, but even though some retailers aren’t announcing sales, it doesn’t mean you shouldn’t check them for deals or consider refurbished tech. It may also be worth considering other brands and generations that still have your must-have features for a fraction of the price. 





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Power BI Datasets – Table of Content

What is Power BI?

Power BI is a set of software services, apps, and connectors that work together to turn disparate data sources into coherent, visually immersive, and interactive insights. Your data could be in the form of an Excel spreadsheet or a hybrid data warehouse that is both on-premises and cloud-based. Power BI makes it simple to connect to your data sources, visualize and uncover what matters, and share your findings with whomever you choose.

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What are Datasets in Power BI?

A dataset is a data collection that you can connect to or import. Power BI allows you to connect to and import all kinds of datasets, allowing you to put everything together in one place. Dataflows can also be used for sourcing the data for Datasets. Workspaces are associated with datasets, and a single dataset can be used in multiple workspaces.
We have selected “My workspace” and then the “Datasets + dataflows” tab in the example below

Power BI workspace

Let us now look into the different types of Datasets in Power BI.

Types of Datasets

Datasets in Power BI are ready to report and visualize the source of data. There are five different types of datasets, each of which can be constructed in one of the following ways:

  • An existing data model will be connected that is not hosted in a Power BI capability.
  • Power BI Desktop file needs to be uploaded which includes a model.
  • Uploading a CSV (comma-separated values) file, or uploading an Excel workbook (Includes one or more Excel tables and/or a workbook data model).
  • Creating a push dataset using the Power BI service.
  • Creating streaming or dataset with hybrid streaming using the Power BI service.

Let us now explore different types of Datasets.

1) External-hosted models

Azure Analysis Services and SQL Server Analysis Services are the two types of externally hosted models. Installing the on-premises data gateway, whether on-premises or VM-hosted infrastructure-as-a-service (IaaS), is required to connect to a SQL Server Analysis Services model. A gateway isn’t required for Azure Analysis Services.

When there are existing model investments, such as those that form part of an enterprise data warehouse(EDW), connecting to Analysis Services makes sense. By utilizing the identity of the Power BI report user, Power BI can establish a live connection to Analysis Services, enforcing data permissions. Both tabular models and multidimensional (cubes) are supported by SQL Server Analysis Services. A live connection dataset sends queries to externally hosted models, as demonstrated in the accompanying 

External-hosted models

2) Power BI Desktop-developed models

A model can be created using Power BI Desktop, a client application for Power BI development. The model is essentially a tabular Analysis Services model. Models can be created by importing data from dataflows and blending it with data from external sources. While the characteristics of how modeling can be accomplished are outside the subject of this article, it’s crucial to note that Power BI Desktop supports three different types, or modes, of models. We are going to discuss the datasets in the coming sections.

Row-Level Security (RLS) can be used in externally hosted models and Power BI desktop models to restrict the amount of data that can be obtained for a certain user. Users in the Salespeople security group, for instance, can only see report data for the sales region(s) to which they’ve been assigned. Roles in RLS can be either static or dynamic. Static roles apply the same filters to all users allocated to the position, whereas dynamic roles filter by the report user.

3) Excel workbook models

The creation of a model is automatic when datasets are created from Excel workbooks or CSV files. To construct model tables, Excel tables, and CSV data are imported, and an Excel workbook data model is translated to produce a Power BI model. In every scenario, data from a file is imported into a model.

4) Push Dataset

A Power BI dataset that can only be created and populated using the Power BI API is known as a push dataset. However, the lack of a good user interface for creating a push dataset restricted its adoption to scenarios where a single table was inhabited with real-time data streaming.

5) Hybrid Streaming Dataset

Real-time streaming in Power BI allows you to stream data and update dashboards in real-time. Real-time data and visuals can be displayed and updated in any Power BI visual or dashboard. Factory sensors, social media sources, service usage metrics, and a variety of other time-sensitive data collectors or transmitters can all be used to collect and transmit streaming data.

Hybrid Streaming Dataset

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How to Create a Power BI Dataset?

Before discussing the steps of creation. It is necessary to know that there are three basic ways to retrieve data in Power BI Desktop that you will use to create your visualizations:

1) Live:

Here you will be connecting to a server that carries all the data. Although no data is sent, the model’s metadata is imported into Power BI Desktop. A query is transmitted to the server when you build visualizations, and it is then executed. The outcomes are then visualized and returned to Desktop. With SQL Server Analysis Services (SSAS) models, whether multidimensional or Tabular, live connections are commonly employed. Power BI Desktop behaves like any other thin client in this scenario, like Excel or Reporting Services (SSRS). It is not possible to make major modifications to the model, but you can add new measurements that will be available in that  .pbix file.

2) DirectQuery:

You can make more modifications to the model here than you can with a Live connection. The data is kept on the server, and queries are run on the server, just like in Live. The Power BI Desktop model, for instance, allows for the creation of relationships.

3) Import:

Power Query queries are used to import the data into a Power BI Desktop file (.pbix). The data is compressed highly so it’s feasible to load records in millions into a file on your system. A model, comparable to an SSAS Tabular model, is built behind the scenes. This is the most versatile mode, as it allows you to blend data from any source. However, all data must be loaded into your model, which can take a long time to refresh.

Now, let’s move to create the dataset. Below are the steps which make you comprehend the creation of the Power BI Dataset.

1) A dataset is connected to the .pbix file where it was created one by one. When you first launch PBI Desktop, click “Get Data” to create a new dataset.

Get Data

Alternatively, you can choose a source from the dropdown menu as shown below:

dropdown menu

2) Let’s assume we imported a few tables from the WideWorldImporters SQL Server sample database (The .pbix file can be downloaded here). The tables and their relationships are visible in the Model view:

.pbix file downloaded

3) You can view the actual data of one table at a time in the “Data view”.

Data view

4) You can create, view, and interact with visualizations built on top of the data and model in the “Report view”. 

Report view

 The dataset is made up of the data as well as the model view. Now, let’s move to the different modes of Dataset available in Power BI.  

[ Related Article : msbi ]

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Dataset modes in the Power BI

These modes of Dataset in Power BI ascertain whether or not data is imported into the model or retained in the data source. The following are the three Dataset modes in Power BI:

  1. Import
  2. DirectQuery
  3. Composite
1) Import

The most popular mode for developing datasets is the import mode. Because of in-memory querying, this mode provides incredibly quick performance. Modelers can also benefit from design flexibility and support for certain Power BI service capabilities (Quick Insights, Q&A, etc.). It’s the default mode when developing a new Power BI Desktop solution because of these advantages.

It’s crucial to realize that all imported data is saved on disk. When the data is refreshed or queried, it should be fully loaded into the memory of Power BI. Import models can yield very rapid query results once they are in memory. It’s also crucial to note that there’s no such thing as a partially loaded Import model in memory. An Import model can also integrate data from any number of supported data source types. The following image illustrates it. 

Import model

2) DirectQuery

Import mode can be replaced by DirectQuery mode. Data is not imported into models created in DirectQuery mode. Instead, they are made up entirely of metadata that defines the model’s structure. If the model is queried, data is retrieved by using the native queries from the underlying data source.

DirectQuery Model

3) Composite

The composite mode can blend DirectQuery and Import modes, or integrate multiple data sources for DirectQuery. The storage mode for every model table can be configured for models created in Composite mode. Calculated tables (defined with DAX) can also be used in this mode.

Composite Model

Import and DirectQuery modes are used in composite models to give you the best of both modes. They can blend the high query performance of in-memory models with the capacity to access near real-time data from data sources when set properly.

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 Conclusion:
We have successfully learned that Power BI lets you connect various datasets for importing and bringing them all together in one place. In this blog, we explored the topics of Datasets in Power BI in a systematic flow by understanding Power BI, then Datasets in Power BI, different types of Datasets and models used for reporting and visualizing data, creating a Dataset for connecting files, and various modes of Datasets in Power BI.

Related Article:

  1. MSBI vs Power BI
  2. Looker vs Power BI
  3. KPI in Power BI
  4. DAX In Power BI
  5. Power BI Architecture
  6. Power BI Components
  7. Power BI Dashboard
  8. Power BI Data Modeling
  9. Power BI Documentation



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