Keep These 11 Foods Out of the Freezer at All Cost


Americans already lose roughly $1,500 a year to spoiled groceries, according to a 2025 CNET survey, but the freezer isn’t always the rescue it appears to be. 

The freezer feels like a safe haven for anything you’re not ready to use or that bulk haul of produce you bought on sale. The problem? Not everything comes back from the cold in one piece. Some foods need special handling before they’re frozen, while others simply can’t be saved — emerging mealy, mushy or completely inedible.

Before you seal something in a bag and call it “saved,” here are 11 common foods that have no business in your freezer.

11 foods you should never freeze

1. Milk and cream

Open refrigerator with chocolate and white milk.

Keep your dairy out of the freezer or it will separate and curdle.

DonNichols/Getty Images

Most dairy products can’t be frozen and will become inedible if they are. Milk, cream, yogurt and sour cream tend to separate when frozen. Once they do, there’s no returning them to their former state, and the thawed result will be grainy, watery or even curdled. Nut milk, on the other hand, can be frozen more successfully. 

Ice cream is a known exception to the dairy rule because its high sugar content lowers the freezing point and keeps the product soft and palatable. 

2. Potatoes

refrigerator-potato.jpg

Potatoes shouldn’t even be refrigerated, never mind frozen.

Tyler Lizenby/CNET

America’s favorite carb turns mushy and grainy when thawed, a physical state that is no bueno for use in anything from mashed potatoes to french fries. This is because the water separates from the tuber’s starch, resulting in a gag-inducing texture that not even trash-foraging critters like raccoons can stomach.

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Freezing cooked or partially cooked potatoes (typically parboiled) is OK, as much of the water is extracted during cooking. Bagged potato products from the freezer section of your local grocery store are treated with chemicals, preservatives or other specialized preparation methods to ensure flavor and texture are preserved when frozen.

3. Cheese

cheese drawer in fridge

There are ways to store all types of cheese that will keep them fresh for longer, but the freezer isn’t one of them.

Pamela Vachon/CNET

Pesky ice crystals form in frozen cheese, which completely changes its flavor and texture profile. This primarily applies to soft and moldy cheeses, though some hard varieties such as cheddar and jack can withstand the consistent blast of cold air if grated first and laid flat in a plastic storage bag. 

Read moreStore Cheese Properly and You’ll Extend Its Life by Days, Even Weeks. Here’s How

4. Fried food

fried chicken

Unfortunetly, that leftover friend chicken can’t be frozen for later.

David Watsky/CNET

The best part of fried food is, of course, its crunchy breading. When placed in a freezer, this batter or crumb absorbs moisture from the appliance, making the food soggy. Additionally, fried food is chock-full of — you guessed it — oil, which doesn’t freeze completely and can spoil before the meat or vegetable it’s been cooked with. This can lead to foul-tasting meals and a potentially dangerous bout of food poisoning. 

5. Eggs

A carton of brown eggs against a blue background.

Eggs have a reasonably long shelf life in the fridge so you shouldn’t need to freeze them.

Tanja Ivanova/Getty Images

If you want rubbery scrambled eggs, go ahead and stick them in the freezer before you prepare them. This is due to a process called “gelation,” in which the yolk’s protein molecules clump, making the liquid thicker. Egg contents also expand when frozen, causing whole eggs to crack and leak. Avoiding eggs in the freezer means preventing egg-based condiments, such as mayonnaise, which gets lumpy and unspreadable.

6. Delicate salad greens

A hand holding bagged salad.

The lighter in color the salad green, the less likely it is to survive being frozen.

Toni Jardon/Getty Images

While some greens, including kale, spinach, and collard greens, handle the freezer fine, more delicate and water-dense varieties will fall apart. Keep mixed and mesclun greens, romaine, and iceberg in the vegetable crisper and away from the freezer.

7. Water-dense vegetables

Watermelon Goat cheese and cucumber salad representing Mediterranean diet.

Tomatoes, cucumbers and other water-dense vegetables don’t make good candidates for freezing.

Carlo A/Getty Images

If it’s a fruit or vegetable that can go into a typical salad, it won’t hold up in the freezer. This includes produce with high water content such as tomatoes, cucumbers and celery. 

8. Avocado

sliced avocado

Frozen avocado can’t be revived to use in salads or for guacamole, though it can be dropped into a healthy smoothie or shake. 

Westend 61/Getty Images

The beloved avocado will also not fare well in extremely low temperatures. As it thaws, it will immediately begin to brown. Nobody wants to dip their way through brown guacamole. While you can’t revive frozen avocado to spread over toast or make a dip for taco night, you can use it as an ingredient in smoothies.

9. Whole citrus

fluicer on cutting board with citrus

Your best option with an excess of citrus is to juice the fruit and freeze the juice for recipes and cocktails later. 

David Watsky/CNET

Some dense fruits, such as berries and mangoes, do well in the freezer, but citrus won’t hold its integrity as well and most whole citrus fruit will become mealy after thawing. If you have an abundance of lemons, limes or oranges, your best bet is to juice them and freeze the juice for later. 

10. Cooked pasta and rice 

plate of pasta with meatballs and pesto sauce

Leftover cooked rice and pasta can be frozen safely but will lose much of its structure and toothsomeness upon reheating.

David Watsky/CNET

You can freeze cooked pasta and rice, but that doesn’t mean you should. The water content causes the cells in noodles and grains to burst, resulting in pasty, gloopy leftovers that can’t be salvaged with even the most delicious sauces.  

Pasta is almost certainly going to emerge from the freezer in rough shape. Rice is a little more durable but consider vacuum-sealing it to keep moisture out before popping it in the freezer for preservation.

11. Bottled or canned beverages

Cans of sprite, diet coke and coca-cola are stacked next to each other in a fridge.

We’ve all tried to quick-chill a beer or soda in the freezer. 

Getty Images

Who hasn’t tried to cheat time by chilling a lukewarm beer can or bottle in the freezer, only to forget about it and return to find a frozen, bubbling disaster? If you use the freezer to chill canned or bottled beverages, you’d be wise to set a timer for 10 minutes so they don’t freeze solid and explode.





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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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