The best credit cards to use for Alaska Airlines flights


If you’re about to book an Alaska Airlines flight, you may be wondering which credit card will help you earn the most rewards and enjoy benefits like free checked bags.

Alaska Airlines is part of the Atmos Rewards loyalty program, along with Hawaiian Airlines. It offers three Bank of America credit cards — two personal cards and one business card. And right now, these cards are offering some great bonuses:

  • Atmos™ Rewards Ascent Visa Signature® credit card: Earn 80,000 bonus points and a $99 Companion Fare (plus taxes and fees from $23) after spending $4,000 on purchases in the first 120 days from account opening. Plus, receive a 50% flight discount code for a qualifying future flight after opening your new account. Based on TPG’s April 2026 valuations, the points-only part of this offer is worth $1,120.
  • Atmos™ Rewards Summit Visa Infinite® credit card: Earn 100,000 bonus points and a 25,000-point Global Companion Award after spending $6,500 on purchases in the first 90 days from account opening. Plus, receive a 50% flight discount code for a qualifying future flight after opening your new account. This bonus is worth up to $1,750 when you include the value of the 25,000-point Global Companion Award, according to TPG’s valuations.
  • Atmos™ Rewards Visa Signature® Business Card: Earn 80,000 bonus points and a $99 Companion Fare (plus taxes and fees from $23) after spending $5,000 on purchases in the first 90 days from account opening. The points in this bonus are worth $1,120, per TPG’s valuations.

Even though these current offers are solid, the cobranded cards aren’t your only options. In fact, other transferable rewards cards could provide stellar earnings on Alaska Airlines flights.

We’ve compiled a list of the best credit cards to use for booking Alaska flights. Here’s a breakdown of the top options.

Comparing the best credit cards for Alaska Airlines flights

Here is a quick overview of the best cards for Alaska Airlines flights, along with their earning rates and benefits.

Card name Earning rate on Alaska Airlines and Hawaiian Airlines flights Value of the rewards earned* Alaska- and Hawaiian-related benefits from the card Annual fee

3 points per dollar spent

4.2 cents

  • Annual Companion Fare ($99 fare, plus taxes and fees from $23) after spending $6,000 on purchases within the prior anniversary year
  • First checked bag free for you and up to six companions on the same reservation**
  • Preferred boarding for Alaska Airlines or Hawaiian Airlines**
  • 20% back on inflight purchases**
  • $100 off an Alaska Lounge+ membership

 $95

3 points per dollar spent

4.2 cents

  • Annual Global Companion Award with the ability to earn another after meeting a spending requirement
  • Eight annual Alaska Lounge passes and eight annual Wi-Fi passes (two of each per quarter)
  • First checked bag free for you and up to six companions on the same reservation**
  • Preferred boarding for Alaska Airlines or Hawaiian Airlines**
  • 20% back on inflight purchases**

$395

3 points per dollar spent

4.2 cents

  • Annual Companion Fare ($99 fare, plus taxes and fees from $23) after spending $6,000 on purchases within the prior anniversary year
  • First checked bag free for you and up to six companions on the same reservation**
  • Preferred boarding for Alaska Airlines or Hawaiian Airlines**
  • 20% back on inflight purchases**
  • $100 off an Alaska Lounge+ membership

$70 for the company and $25 for each card issued

3 points per dollar spent

4.2 cents

  • One-time 50%-off companion discount
  • Two free checked bags**

$99

3 points per dollar spent

4.2 cents

One-time 50%-off companion discount

$99

5 points per dollar spent (on up to $500,000 on these purchases per calendar year, then 1 point per dollar spent)

10 cents

None, but you can choose Alaska Airlines as your preferred airline to cover up to $200 per year in airline incidental statement credits for things like checked baggage or preferred-seat fees (enrollment required)
4 points per dollar spent (or 8 points per dollar spent if booked through Chase Travel℠)

8.2 cents (or 16.4 cents)

$795

3 points per dollar spent

5.7 cents

None

$95

3 points per dollar spent

6 cents

None

$150

2 miles per dollar spent (or 5 miles per dollar spent if booked in the Capital One Travel portal)

3.7 cents (or 9.3 cents if booked through Capital One Travel)

None, but you can offset some of your purchases with the $300 annual travel credit available when booking through Capital One Travel

$395

*Bonus value is an estimated value calculated with TPG’s valuations and not by the card issuer.

**Must pay with the card to receive benefits.

The information for the Hawaiian Airlines World Elite, Hawaiian Airlines World Elite Business and American Express Green Card has been collected independently by The Points Guy. The card details on this page have not been reviewed or provided by the card issuer.

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Related: Atmos Rewards Ascent vs. Business: Which $95 Alaska-Hawaiian card should you get?

Which card should you use for Alaska Airlines flights?

If bonus perks are what you’re looking for, the Atmos Rewards cobranded cards are your best bet. This is because you’ll receive a free checked bag, preferred boarding and a discount on inflight purchases when flying with Alaska and using one of these cards.

And, right now, the Atmos Rewards cobranded cards are offering solid bonuses, including a 50% flight discount code on the two personal cards (for a qualifying future flight on Alaska or Hawaiian purchased with cash).

Note that you also get two free checked bags on Alaska flights when using the personal Hawaiian Airlines card.

an Alaska Airlines plane flies over clouds and hills
ALASKA AIRLINES

Now, if you never check a bag with Alaska and don’t prioritize priority boarding, you’ll generally earn more rewards with a transferable rewards card that earns bonus points on airfare.

For example, the Chase Sapphire Reserve earns 4 points per dollar spent on flights booked directly with an airline. Cards that earn transferable points may also offer more comprehensive travel protections than Atmos Rewards cards.

The same sentiment holds true if you hold elite status on Alaska, American Airlines or another Oneworld carrier. With elite status, you’ll receive free checked bags and priority boarding (along with other perks, depending on your tier of status), regardless of the card you buy your ticket with.

A card with these perks wouldn’t be as impactful for status holders.

Related: Your complete guide to Oneworld alliance benefits

Bottom line

An Atmos Rewards card is likely the best option for frequent Alaska flyers. That’s because you’ll get a free checked bag, inflight discounts and access to preferred boarding that can help outweigh the card’s annual fees.

Plus, these cards are currently offering stellar bonuses that could deliver even more value to Alaska flyers.

But if you have Alaska elite status and would rather earn transferable points, one of the other cards we listed here may be a better choice.

Related: Are airline credit cards worth it anymore?

For rates and fees of the Amex Platinum card, click here.



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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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