What To Expect At The Next Samsung Galaxy Unpacked


what-to-expect-at-the-next-samsung-galaxy-unpacked

Although it isn’t yet official, you can bet the farm that Samsung will hold a Galaxy Unpacked event this summer. The rumor mill even points to a specific time and venue: July 22 in London. But whether that’s the official date or not, you can expect a foldable-focused shindig sometime soon. Samsung will likely unveil new Galaxy Z Fold and Galaxy Z Flip phones, as well as new Galaxy Watches. And we just might get a closer look at Samsung and Google’s Android XR smart glasses.

A wider Galaxy Z Fold 8

At last year’s event, Samsung launched its most polished foldable yet, the Galaxy Z Fold 7. But now the company appears ready to shake things up. Leaks point to a wider Fold model alongside one with the more established design.

Curiously, the wider shape more closely aligns with what industry insiders expect from Apple’s upcoming foldable iPhone. Welcome to the world of Big Tech, where you have to question whether a new product was greenlit to compete with one that doesn’t yet exist.

This model would trade the narrow design of the current Fold line for something that, when opened, more closely resembles a small tablet. It may even resemble the first-generation Pixel Fold (pictured above). Leaks suggest this wider Z Fold 8 would have a 7.8-inch inner display and a 5.4-inch outer display. Its outer screen is also expected to be wider, which could make it feel more like a standard phone when closed. It’s rumored to have two rear cameras, compared to the three on the current Fold line.

When leaks about this wider Fold first surfaced, they hinted that it would be sold as an offshoot from the main series. (Think something along the lines of the Z Fold Special Edition.) However, the latest ones suggest Samsung may position this model as the standard Galaxy Z Fold 8.

Galaxy Z Fold 8 Ultra

Meanwhile, a foldable whose aspect ratio and feature set resemble last year’s standard model could be called the Galaxy Z Fold 8 Ultra. (Confused yet?) As its alleged name suggests, this phone would be the top-tier model.

The Z Fold 8 Ultra is rumored to include a less visible display crease than its predecessor. It could also carry a new Snapdragon chip, a 200-megapixel main camera and 45W charging.

We can speculate as to why Samsung might rebrand the previously standard model as “Ultra.” First, one heavily rumored name for Apple’s foldable is the iPhone Ultra. More cynically, Samsung’s (unconfirmed) naming could also be designed to make a more expensive Fold feel more justifiable. With AI data-center-fueled shortages driving up memory prices, it wouldn’t be surprising to see a price hike for the lineup. (The 2025 model was already $2,000, so… yikes.) But if the new phone’s upgrades are more incremental than revolutionary, that could be a hard sell — “Ultra” naming or not.

Galaxy Z Flip 8

Then there’s the cheaper Galaxy Z Flip 8. It’s rumored to include a new hinge design that reduces the display crease. This could also make the phone a bit lighter at 180g. (The Flip 7 weighs 188g.)

Leaks point to a return to a Snapdragon processor, after last year’s model used a Samsung Exynos chip. (Specifically, the Snapdragon 8 Elite Gen 5.) Elsewhere, expect the same 6.9-inch inner display and a 4.1-inch cover display.

If those are the only upgrades — and we see a RAMageddon-fueled price increase — it’s hard to imagine the Galaxy Z Flip 8 as a compelling buy. Such a ho-hum launch likely wouldn’t put to rest rumors that Samsung might axe the Flip line after this generation.

Galaxy Watch 9 and Watch Ultra 2

Updated Galaxy Watch models typically arrive in the summer Unpacked event, too. Leaks point to a Galaxy Watch 9 with mostly incremental design changes, including a new case color and new bands. You can also expect the Snapdragon Wear Elite processor, and on the software side, it’s rumored to receive new health-tracking features.

Meanwhile, the Galaxy Watch Ultra 2 could be a similar story. Leaks suggest it will also have subtle design changes: a boxier look, thinner bezels with number markings and more muted accent colors on the side buttons.

As for the Galaxy Watch Classic — you know, the one with a rotating bezel and a more traditional watch design? Well, at least one leak suggests Samsung will skip it this year.

Android XR glasses

One of the event’s more interesting updates could be a product we’ve already caught a glimpse of. Samsung and Google teased their first Android XR-powered smart glasses at Google I/O 2026. If the companies’ stated timeline holds, this event could be the perfect stage to reveal more details.

The first model is a pair of audio-focused glasses developed with Gentle Monster and Warby Parker. They have an ever-present Gemini voice assistant — including (arguably creepy) cameras for contextual AI. In other words, it’s their answer to Meta’s Ray-Ban specs. A second Google-Samsung pair with a built-in display is in the pipeline for 2027.

Google previously said the audio glasses would arrive this fall, so don’t expect an imminent release after Samsung’s Unpacked event. But it seems likely the company would use the spotlight to tell us more about the device, which could possibly include pricing and a release date.



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Informatica Data Quality tutorial – Table of Content

What is Informatica Data Quality?

Informatica Data Quality is an offering of Informatica that helps manage the quality of data across the whole enterprise. It offers features like data analysis, data cleansing, data matching, reporting, and monitoring capabilities, and many more. It ensures that data is consistent across the enterprise to meet the business objectives.

IDQ uses the Claire engine in the backend to make intelligent recommendations and assessments. It also uses AI-driven insights to streamline data discovery. It offers transformations like data standardization, validation, re-duplication. The IDQ is available on both Microsoft Azure and AWS public clouds. So the users can quickly spin up infrastructure on the cloud and start working with it.

Informatica Data Quality was awarded as the Data Quality Market Winner in 2018 by CRM Magazine.

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What are the advantages of IDQ?

Below are the advantages of the IDQ tool,

  • It can quickly deploy data quality for all real-time workloads.
  • The IDQ is very flexible that even non-developers can start working with it.
  • We can manage data quality from both multi-cloud and on-premises.
  • It enables collaboration between IT and business stakeholders.
  • We can reuse standard rules across the data from different sources.
  • It offers data profiling for data privacy and protection.
  • It improves data quality for enabling data protection.
  • It ensures that the relevance of the information is stored.
  • Improving data quality enhances data-driven digital transformation.
  • Regardless of volume or type of data, IDQ ensures the highest quality of data is delivered to get accurate insights.
  • We can easily integrate IDQ with other tools.

Core components of IDQ:

The IDQ has two core components.

Data Quality Workbench

It is like an IDE through which we can design, test, and deploy data quality plans. We can execute tests and plans through the workbench. It contains the Project Manager and File Manager on the left, and a workspace on the right where the plans are designed. Workbench offers 50 data components that we can use in our plans.

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Data Quality Server

It is used to run plans in a networked environment. We cannot create or edit plans on the server. It communicates with the workbench through TCP/IP connection. It also enables plans and file sharing across networks.

Both the workbench and server will be installed with a Data Quality engine and a Data Quality repository.

IDQ Workbench Match Algorithms

IDQ Workbench offers four algorithms that we can select from, to perform matching analysis. 

Hamming Distance algorithm

The hamming distance algorithm is useful when the positions of characters in a string are essential, for example, dates, telephone numbers, postal codes, etc. The strings to be analyzed should be of the same length because it implements transposing of one string into another. 

Jaro-Winkler algorithm

It is useful when the prefix of the string is essential. It measures the match percentage of the characters of two strings. It also calculates the number of transpositions required to change one string to another.

Edit Distance algorithm

It is useful for matching small strings like name or short address field. This algorithm is an implementation of the Levenshtein distance algorithm, and that helps in calculating the number of operations needed to transform one string into another. The operations include insertion, deletion, or substitution of characters.

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Bigram or Bigram frequency algorithm

It is useful for searching through long text strings like free format address lines and creates pairs of consecutive characters from both data strings and compares them to find common pairs. It will give a match score based on the common identical pairs between the two search strings.

Dictionaries

A dictionary in IDQ refers to a data set that we can use to evaluate data in sources and mapping. When we apply dictionaries to a mapping, it will compare each input field in the mapping against the dictionary, and performs the specified actions. There are two types of dictionaries available in Informatica.

Relational Dictionary

We can add a table in a database as a reference dictionary by using the relational dictionary. To connect to a table, we need to provide an ODBC data source, username, password, etc.

Flat File Dictionary

We can add a file from your local computer as a reference dictionary using the flat file dictionary. To read the data from the file, we need to give the name, description, and upload the file from your local computer.

Access level controls in IDQ

An organization implements role-based control to give access to individual users for specific data. Here are some of the types of roles that you want to define in your data quality project. 

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Platform Administrator 

The platform administrator installs software, performs version upgrades and emergency bug fixes. This person is responsible for maintaining subscription content. 

Effort Administrator

An effort administrator is a front-line manager (like a project lead) for the project. This person can either grant access or approve access to project resources.

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Developer

A developer builds mappings and workflows in IDQ workbench by taking advantage of the Effort Administrator’s service connections. The developer also uses the full-featured model repository.

Operator

An operator is the front-line reviewer of results. This person manages the platform’s effort to run data quality artifacts in the published and internal project folders. 

Analyst

An analyst manages specifications, reference tables, and scorecard notifications. This person is responsible for the identification of all data quality issues. The analyst role also includes all the capabilities of a basic analyst. 

Reports Developer

A reports developer creates and modifies reports using the developer tool and iReportsDesigner. The generated reports point to the dashboards and reports template star schema.

Integrating IDQ with MDM projects

Data cleansing will be a value-added feature for Master Data Management (MDM) project. We can easily integrate IDQ with MDM in three ways.

Informatica Platform Staging

Informatica has introduced this feature from version 10.x. Using platform staging, we can integrate MDM with IDQ thorough a setup. The setup requires configuring MDM hub, platform components, and connections to the data sources. Once the integration is complete, the tables will be available in the developer tool.

IDQ Cleanse Library

We can create functions in IDQ as operation mappings and deploy them as web services. These web services can be imported to Informatica MDM hub as a cleanse library. Features like delta detection, hard delete detection, audit trail are available in this process.

Informatica MDM as target

We can use Informatica MDM as a target for loading the data to landing tables in Informatica MDM. This way, we can create only one connection instead of multiple. Features like delta detection, hard delete detection, audit trail are available in this process.

Difference between IDQ and Powercenter

Both the Informatica PowerCenter and Informatica Data Quality tools have their features that serve different purposes.

  • Informatica PowerCenter is an ETL tool that extracts, transforms, and loads data. Informatica Data Quality ensures the highest quality of data.
  • We can create re-usable rules and validations in Data Quality and integrate them into PowerCenter.
  • Most of the transformations available in PowerCenter are also available in Data Quality. In addition to them, Data Quality has some more transformations.
  • The way we use passive transformation in PowerCenter is different from IDQ.

Conclusion

Using IDQ ensures that only consistent data is in use across the organization. The customer holds complete control of the transformations, validations, and rules applied through mappings. We can even identify distinct patterns available within the data. IDQ is the best possible way to achieve the highest quality of data. It generates profiling reports and Data Quality reports. We can validate duplication, conformity, and integrity of data with this tool.

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