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How to recover a deleted database in Windows






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In case you’re trying to recover a deleted database, either because it happened by mistake, or you think it could have been moved, there are solutions to fix it.

Most of the time, your computer has a backup copy of the deleted database, so recovery involves:

Restoring the database from the backup database, or

Restoring the deleted database to a previous state.

We’ll show you how to do both so as to recover a deleted database.

How to restore deleted databases Solution 1: Restore a deleted database from the backup database

In order to restore a deleted database, your computer has to have a backup copy of the file or folder, which is also known as ‘known good copy’ of the database file or folder.

This copy is one which you are sure of its integrity and design.

To set off the restoration process, use the Backup Database command within Microsoft Office Access so as to make backups. However, you can also use any known good copy to restore the deleted database such as that stored in a USB flash drive.

There are two ways to restore a deleted database in this case:

Restore the entire deleted database

Selectively restore, or restore part of the deleted database

Without a backup copy, data loss, corrupted database design and unwanted changes are expected so you need to make backups regularly.

How to restore an entire database

Restoring an entire database simply means you’re taking the backup of the database, and replacing the previously deleted database that may have been damaged, or has other issues altogether.

Missing database files almost always have backup copies so replacing the database means you locate the backup copy, and then put it where the deleted database should be – the correct location – because some databases or programs are linked to objects in the particular database, and if not restored correctly, these will not work, or you may have to recreate them all over again.

Before restoring an entire database, delete the damaged file, and replace it with the backup copy.

ALSO READ: 5 best local data backup software to use

Expert tip:

If you intend to restore a part of the deleted database, import the object from the backup copy into the database with the object you want to restore.

Follow these steps to restore files from a backup:

Firstly, ensure the media or drive your backup copy is saved on is available

Select Control Panel

Follow the instructions in the wizard

Solution 2: Restore a deleted database to previous state/version

A previous version of a database has copies of files and folders saved automatically by Windows as part of a restoration point, or restore point.

Such copies are also known as shadow copies.

In order to restore files and folders to previous versions or previous state, do the following:

Select File Explorer

Go to the folder that contained the deleted database

How to restore a deleted database to a previous state

Follow the steps below to do this:

Select File Explorer

Go to the folder that contained the deleted database


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How To Recover Deleted Files In Windows 10,11

How To Recover Deleted Files in Windows 10,11 Use The Best Data Recovery Software To Easily Get Back Your Permanently Deleted/Lost/Missing Files!

Various file recovery tools are available in the market to effortlessly restore deleted, lost & missing files on Windows 10; our recommendation would be Advanced File Recovery!

     Download Advanced File Recovery To Recover Deleted Files On Windows 

If the data is recoverable, then why can’t we see it?

Whenever you delete a file or discover a photo, video, or document to be missing or lost from your PC, remember that Windows removes the reference of the file from your hard drive. As the reference is removed, a computer can no longer call the file from its location. So, the space used by the file is empty and therefore readable by your PC. However, the file exists until you don’t overwrite deleted files.

You might want to read: Common Data Recovery Myths Debunked

Now Easily Recover Deleted Files in Windows 10,11

Since we’ve already mentioned that you can recover permanently deleted files using a file recovery software or manually. We have mentioned both methods.

Recover Permanently Deleted Files in Windows 11,10 with the Best Data Recovery Software

No matter how you lose your data, you can recover your deleted files irrespective of the location, such as hard drive, external or removable device. As long as the data is not overwritten, you can rely on a third-party tool, Advanced File Recovery by Tweaking Technologies.

Note:- If your files are deleted permanently, avoid performing any operations such as copy, cut, & move as this reduces the chances of recovering data, as the new files could overwrite the old data’s space.

During the deep scan, the data recovery software searches the full hard drive to locate all the permanently deleted, missing, or lost files on your PC. The file recovery software also allows you to pause and resume the scanning process at your convenience.

How Do I Recover My Files Using Advanced File Recovery Software?

Using this file/folder recovery software is a pretty straightforward process; all you need to do is:

Step 2: Once successfully installed, launch the recovery software, and you’ll be greeted with a clear and straightforward dashboard. Select the location from where you want to recover data from.

Note:- It is suggested to choose ‘Deep Scan’ as it will perform in-depth scanning to recover your deleted files.

Step 5: This fantastic Windows file recovery software will take a few minutes to list all the permanently deleted, lost, and missing files from your PC. Keep patience and let Advanced File Recovery do its job!

Here, you will see the list of deleted items in different directories. Go through the list and choose the data which you want to restore and hit the Recover Now button!

Step 7: Next, select the preferred location to save recovered deleted files successfully.

You will be greeted with a pop-up message shown below when the file recovery process is completed successfully!

You might want to Read: Best Data Recovery Software For Mac – Paid and Free

Recover Permanently Deleted Files On Windows 10,11 Manually

Follow these steps to retrieve shift + deleted files on Windows 10,11 using the following workarounds:

Method -1 Use System Backup & Restore Functionality

Windows has a reliable Backup and Restore feature, which helps you restore permanently deleted/lost/missing files on your Windows PC. You can use this method on Windows 7, 8, and 10,11

Step 1: Type Control Panel in the search box on the Taskbar and press Enter to launch Control Panel.

Step 2: Navigate to File History (if View by: Large icons) and look for Backup & Restore (Windows 7), if View by: small icons.

You can recover permanently deleted files in Windows 10 by File History.

On the search bar, type File History and select File History folder.

Hope you don’t have to search “how do I recover my files on Windows?” again. If you’re still struggling, try another workaround shared below!

Method -2 Restore Previous Versions

Restoring the previous version will help you navigate the computer’s state when everything was usually working and you had all your files/folders securely stored.

Step 2: Select ‘Restore previous versions.’

Step 3: You will get the list of available versions; select the version when your files are present.

If you can’t find “Restore previous versions” in the context menu. Don’t worry; you can enable it by following these steps.

Step 1: Press Windows Key and R together to open the Run window, type Control Panel, and press Enter.

Once done, you will see “Restore previous versions” on a particular folder.

Now repeat the aforementioned steps to Restore previous versions.

So, these are some of the easiest ways to recover deleted files in Windows 10,11. It is always suggested to use a professional tool such as Advanced File Recovery, to ease the recovery process.


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How To Recover Deleted Call Recordings On Android

How To Recover Deleted Call Recordings On Android

How Call Recordings Get Deleted In The First Place?

There are numerous ways through which you can lose important phone recordings. Knowing them will help you prevent future similar circumstances:

Accidentally deleting a phone call recording.

Mistakenly formatting your smartphone.

Virus or malware attack on your Android device.

Factory resetting your Android phone.

Installing a rogue third-party application.

Keeping corrupted or damaged files.

Running outdated Android OS.

Effective Methods To Recover Deleted Call Recordings (2023)

Performing ‘deleted call recording recovery’ on Android is a simple process. You can try any of the workarounds shared below to recover those important phone records in no time.

METHOD 1 = Retrieve Deleted Call Recordings From Trash

On a majority of Android devices, deleted voice recordings are saved under the Trash folder for a duration of 30 days, until they are permanently removed. This is what you need to do to recover call recordings from Trash Bin:

STEP 2 = Hit the three-dots icon, located at the top-right corner of the screen.

STEP 3 = Locate and tap the folder named Trash or Recently Deleted.

STEP 4 = Now, simply select the call recordings which you wish to recover from your smartphone and hit the Restore button. You can refer to the attached screenshots below to get an idea of the “call recording recovery” process.

Must Read: The Best Voice Changer Apps For Android in 2023

METHOD 2 = Restore Deleted Phone Recordings From Backup

This is one of the easiest ways to rescue deleted voice recordings on your Android smartphone. If you’ve previously backed up your data. Then, there is a high chance that you can easily get your recordings back. Simply, follow the steps shared below:

STEP 2 = As soon as you are able to access your backup data, it’s to restore your missing files. In our case, it’s recorded calls. Find the files you wish to retrieve and hit the Restore data.

This will restore all the contents of your phone which are previously backed up. But you have the ability to sort the content you wish to restore. Once you select the voice recording from the available selections, simply hit the Restore button to get your data back.

Must Read: Best Visual Voicemail Apps for Android and iOS

METHOD 3 = Restore Missing Call Recordings Using A Data Recovery App

In case, none of the aforementioned solutions helped you to restore voice recordings on Android, then it’s high time that you take the help of a reliable “deleted call recording recovery solutions’ ‘. For the purpose, we recommend using Wondershare’s Recoverit Data Recovery app. The software has over 5 million satisfied users worldwide. It works brilliantly to retrieve deleted call recordings in the original file format.

Simply, follow the instructions stated below to successfully recover missing phone recordings:

STEP 1 = Connect your smartphone to your computer and install the latest version of the Recoverit Data Recovery app. It features a beginner-friendly UI and only requires a 3-step recovery process.

STEP 2 = Launch the software and let the computer detect your device correctly. Upon successful detection, you need to identify the target location & hit the ‘Start’ button!

STEP 3 = As soon as the scanning process gets completed, you will be able to see all your lost call recordings in some time.

STEP 4 = Hit the ‘Preview’ button to check the list of all the recorded voices during calls. As soon as you find the files you wish to restore, select them and hit the “Recover” button to initiate successful call recording recovery!

Recoverit is an easy and efficient recovery solution that will help you bring your data back in no time. Just remember, you’ll need to root your phone first before executing call recording recovery.


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Mansi Vijay

How To Recover A Cryptolocker Infected Hard Drive

CryptoLocker is a ransomware which is just simple and devastating. Up until now, computers effected by CryptoLocker were unusable unless you paid the demanded monetary payment.

What is CryptoLocker

We have already covered what CryptoLocker is previously. In short, it is a ransomware trojan which is specifically designed to infect computers running Windows operating system. Once a computer is infected, it encrypts all the data present in the local storage, mapped network drives and any mounted removable drives using 2048-bit RSA public key cryptography, essentially rendering all the files unusable. Unless you pay the ransom (300 USD or equivalent Bitcoins), you won’t be able to get your files back.

Up until now, there was no way to recover the data encrypted by CryptoLocker.

Thanks to the researchers at Fox-IT and FireEye, though, who managed to recover the private encryption keys and Kyrus Technologies for building the actual decryption engine. Combining the efforts, these security firms launched a website which can be used by the victims of CryptoLocker to decrypt their encrypted files free of charge.

Decrypt CryptoLocker Infected Files

Once you have submitted the sample file, the file will be processed and the website will send you the decryption key (private key) along with a link to download the decryption program.

Once you have received the decryption key and the decryption tool via email, launch the decryption tool and use the command below to start decrypting your encrypted files.


CryptoLocker is nasty malware which feeds on users’ precious data. If you are infected by CryptoLocker, you can use the above service to get your files back. In addition, make sure you are using a good anti-virus software to protect yourselves from any future attacks. Do note that even though this process (hopefully) works with CryptoLocker, it may not be able to decrypt the files encrypted by CryptoLocker variants like CryptoBit, CryptoDefense, etc.

Vamsi Krishna

Vamsi is a tech and WordPress geek who enjoys writing how-to guides and messing with his computer and software in general. When not writing for MTE, he writes for he shares tips, tricks, and lifehacks on his own blog Stugon.

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How Database Works In Redshift?

Definition of Redshift Database

Normally Redshift database is a cloud-based solution that is provided by Amazon, we can also call a big data warehouse. The Redshift database provides the storage system to the organization that means the organization can store the data over the cloud and we can easily access any time anywhere as per user requirement and users can access that data through SQL. In another word we can say that clusters and clusters may contain different nodes, the nodes can be accessed independently by the organization and application. Basically, Redshift is designed to be used for different types of tools such as existing SQL.

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In the above syntax, we used a create database command to create the database, here the specified database name means the actual database name that we need to create.

How database works in Redshift?

Now let’s see how the database works in Redshift as follows.

Suppose you need to assemble a data set for your internet business; first, you’ll need to interface with your underlying data set made when you dispatched your group.

Now let’s see how we can load data into a database as follows.

First, we need to create the database that we want by using the above-mentioned syntax. After that, we need to create the table inside the newly created table by using create table command. After successful creation of the table, we can perform the different operations such as select, insert and drop as per user requirement.

Now let’s see how we can manage the database as well as how we can maintain it as follows.

Database maintenance and management is basically not the most crucial part of the database but it is the most important part of the database process. In database management, we can consider the following points to maintain and manage as follows.

Always we need to take the backup and also we need to set the backup and recovery.

We just need to maintain the database table in a timely manner.

We need to manage workload inefficiently as per requirement.

Regularly we need to optimize the database queries.

Greatly equal preparing,

Columnar information stockpiling

Designated information pressure encoding plans.

Now let’s see what types of operation we can perform on the database as follows.

Alter database operation:

Suppose we need the attribute of an existing database at that time we can alter the database command as per user requirement as follows.

Suppose we need to change the database name at that time we can use the following syntax as follows.

alter database existing specified database name rename to new specified database name;

Suppose if we need to change the database owner at that time we can use the following syntax as follows.

Delete database operation:

Suppose we need to delete the existing database at that time we can use the following syntax as follows.

drop database specified database name;

By using the select clause we can list all existing databases of the Redshift cluster as follows.

select * from pg_database;


Before the creation of the database, we just need to specify the cluster that means we need to create the cluster as shown in the following screenshot.

First, let’s see how we can create the database as follows.

Suppose we need to create the database at that time we can use the following statement as follows.


In the above example, we use a create a database command to create a new database; here sample_red is the database name that we need to create as shown in the above statement. The final output or we can say that the result of the above statement we can illustrate by using the following screenshot as follows.

Suppose we need to change the database at that time we can use the following statement as follows.

alter database sample_red rename to red_sample;


In the above example, we use the alter command to rename the existing database name, here we need to change the sample_red database name to red_sample as shown in the above statement. The final output or we can say that the result of the above statement we can illustrate by using the following screenshot as follows.

Similarly, we can delete the database by using the drop database command.


We hope from this article you learn more about the Redshift database. From the above article, we have learned the basic concept as well as the syntax of the Redshift database and we also see the different examples of the Redshift database. From this article, we learned how and when we use the Redshift database.

Recommended Article

This is a guide to Redshift Database. Here we discuss the definition, syntax, How database works in Redshift, and examples with code implementation respectively. You may also have a look at the following articles to learn more –

How To Select A Cloud Database For Organizations?

This article was published as a part of the Data Science Blogathon.


Google Cloud Platform (GCP) consists of many database services. GCP offers three reference architectures for global data distribution – a hybrid, multi-cloud, and regional distribution. It would help to consider these architectures when choosing a Google database service.

In this post, we’ll explain data distribution in GCP and provide an overview of Google’s popular cloud database services, including critical considerations when evaluating and choosing a service. We’ll also show how NetApp Cloud Volumes ONTAP can help centralize and simplify the management of Google’s cloud database resources.

This is part of our series of comprehensive guides to cloud storage technologies.

Deploying databases on Google Cloud

Google Cloud Platform (GCP) supports three primary deployment models: single cloud, hybrid, and multi-cloud.

Single cloud deployment

The simplest deployment model is to deploy databases only on Google Cloud via:

• Creation of new cloud databases on Google

Hybrid deployment: Google Cloud and on-premises resources

A hybrid deployment is practical when you have applications in the cloud that need access to on-premises databases or vice versa. For example, if you do on-premise marketing analytics and need to access customer databases hosted in the cloud.

There are three primary considerations for deploying a database in a hybrid model—with some data in Google Cloud and some on-premises:

• Main database – you need to decide if your central database will be stored locally or in the cloud. If you choose the cloud, GCP resources can act as a data center for on-premises resources. Your internal resources can sync data to the cloud for remote use or backup if you choose local. This allows you to maintain mirrored databases to provide failover during a crash.

• Portability – The type of data storage you choose affects the portability of your data. To ensure reliable data transfer and consistent configuration and management, you must consider cross-platform storage such as MySQL. Using homogeneous databases on-premise and in the cloud provides that you don’t have to reformat or change the data schema, allowing you to transfer it as needed quickly.

The following diagram shows an example of a hybrid architecture with Google Cloud and on-premise systems.

Image source

Multicloud Deployment: Including Google Cloud and other providers

When considering a multi-cloud deployment, you should be aware of the following:

• Integration – it is essential to ensure that client systems can seamlessly access databases regardless of the cloud in which they are deployed. You can use open-source client libraries to ensure seamless database availability across clouds such as clouds (see the JDBC guide).

• Database Migration – With multiple cloud providers, you may need to migrate data between clouds. It would help if you used database replication tools or export/import processes to migrate databases to GCP. There are several Google Cloud migration tools that you can use to migrate data to Google Cloud, such as Google Storage Transfer.

The following diagram shows a multi-cloud deployment involving GCP and another public cloud provider.

Image source

Google Cloud Database Services

GCP offers several Google Cloud database services to choose from. Below is an introduction to each.

Cloud SQL

Cloud SQL is a fully managed Google Cloud relational database service compatible with SQL Server, MySQL, and PostgreSQL. It includes automatic backup, data replication, and disaster recovery features to ensure high availability and resilience. You can integrate this service with Kubernetes, App Engine and BigQuery

Every day Cloud SQL use cases include:

• Lift and move local SQL databases to the cloud

• Extensive SQL data analysis

• Content Management System (CMS) data storage and scalability support.

• Database management using Infrastructure as Code (IaC)

• Development and deployment of container applications and microservices

Cloud Spanner

Cloud Spanner is another fully managed relational database service from Google Cloud. It differs from Cloud SQL in that it focuses on allowing you to combine the benefits of a relational structure with non-relational scalability.

Examples of using Cloud Spanner include:

• Supply chain management and manufacturing

• Financial trading, analysis, and prediction

• Logistics and transport


BigQuery is a fully managed serverless data warehouse. You can use it to perform data analysis through SQL and query data streams. This service includes a built-in data transfer service to help you migrate data from on-premises sources, including Teradata.

BigQuery includes features for machine learning, business intelligence, and geospatial analytics. These features are provided through BI Engine, BigQuery ML, and GIS.

Usage examples for BigQuery include:

• Process analytics and optimization

• Big data processing and analysis

• Behavioral analytics and predictions based on machine learning

• Modernization of the data warehouse

Cloud Bigtable

Cloud Bigtable is a fully managed NoSQL database service from Google Cloud. It is designed for large operational and analytical tasks. Cloud Bigtable features high zero-downtime configuration, availability,  and sub-10ms latency. You can integrate it with various tools, including BigQuery,  TensorFlow, and Apache Services.

Examples of using Cloud Bigtable include:

• Financial analysis and forecasting

• Internet of Things (IoT) data reception and processing

Cloud Firestore

Cloud Firestore is a fully managed serverless Google Cloud NoSQL database designed for serverless application development. You can use it to store, synchronize and query data for web, mobile, and IoT applications. It includes features for offline support, live sync, and built-in security. You can integrate Firestore with Firebase, GCP’s mobile development platform, to make building and managing apps easier.

Examples of uses for Cloud Firestore include:

• Mobile and web applications with online and offline options

• Multi-user, collaborative applications

• Real-time analysis

• Social media applications

• Gaming forums and leaderboards

Firebase database in real time

Realtime Database is a Google Cloud NoSQL database that is part of the Firebase platform. It allows you to store and sync data in real-time and includes caching features for offline use. The real-time database also will enable you to implement declarative authentication, matching users by identity or pattern. It includes mobile and web software development kits (SDKs) for easier and faster application development.

Usage examples for Firebase Realtime Database include:

• Developing applications that work across devices

• Third-party payment processing

• Machine learning integration

Cloud memory storage

Cloud Memory store is a fully managed Google Cloud in-memory data store. It is designed to be scalable, highly available, and secure. Cloud Memory store enables application caches with sub-millisecond latency to access data.

Examples of using Cloud Memory store include:

• Lift and shift application migration

• Application of machine learning

• Real-time analysis

• Low latency data caching and loading

Pick a Google Cloud database.

Even after exploring the database options in Google Cloud, deciding which choices suit you can be challenging. This allows you to optimise your implementations according to the capabilities of the database rather than trying to tailor the database service to fit all needs.

Cloud SQL

Cloud SQL is a good choice when you need relational database functionality but don’t need more than 10TB of storage or more than 4000 concurrent connections. You must also be skilled in on-premise management.

Cloud Spanner

Cloud Spanner is a good choice when you plan to use a large amount of data (more than 10TB) and need transactional consistency. It is also good to use sharding for higher throughput and availability.

If you know or think you may need to be able to scale your Google Cloud database horizontally, Cloud Scanner is a better choice than Cloud SQL. If you are starting with Cloud SQL and need to migrate to Cloud Spanner eventually, be prepared to rewrite the application in addition to migrating the database.

Cloud Firestore/Datastore

Cloud Firestore or Datastore are good options when you plan to focus on application development and need live sync and offline support.

Cloud Datastore is recommended if you need to store unstructured data in JSON documents. This is compared to when you need to store structured data, in which Cloud Spanner is recommended.

Another factor to consider is whether you need Atomicity, Consistency, Isolation, and Durability (ACID). You must choose Cloud Spanner because Cloud Datastore only offers atomic and persistent transactions.

Cloud Bigtable

Cloud Bigtable is a good choice if you use a large amount of data with a single key. In simple words, it works well for low-latency and high throughput.

If you need to analyze one area, Cloud Bigtable is preferred over Cloud Spanner. However, Cloud Spanner is the recommended solution if you need multi-region traffic. For example, Cloud Bigtable is a good choice for a time series application built for DevOps monitoring. Meanwhile, Cloud Spanner is the recommended choice for an infrastructure monitoring platform designed for a software-as-a-service (SaaS) offering.

Cloud memory storage

Cloud Memorystore is a good choice if you use key-value datasets and transaction latency is your primary concern.

If you don’t need disk persistence and only use a caching service, Cloud Memorystore should be your choice. However, if you are concerned about issues such as cache and database consistency or stream processing, you should choose Cloud Bigtable. Likewise, whenever your data volume is too large to fit in memory, Cloud Memorystore is not the best choice for you.

Google Cloud Database Management with ONTAP Cloud Volumes

NetApp Cloud Volumes ONTAP, the leading enterprise-grade storage management solution, provides secure and proven storage management services on AWS, Azure, and Google Cloud. Cloud Volumes ONTAP supports capacities up to 368 TB and supports various use cases such as file services, databases, DevOps, or any other enterprise workload with a robust feature set including high availability, data protection, storage efficiency, Kubernetes integration, and more.


Google Cloud offers a variety of storage options for you to choose from. These services form the base of many other cloud services, and understanding your options can help you manage your cloud more efficiently.

Google Cloud Platform (GCP) supports three primary deployment models: single cloud, hybrid, and multi-cloud. Portability, Managed Services, and central database

GCP offers several Google Cloud database services to choose from. Below is an introduction to each:- Cloud SQL, Cloud Spanner, BigQuery, and Cloud Bigtable

Multicloud deployments allow you to combine databases deployed in Google Cloud with database services from other cloud providers. When considering a multi-cloud deployment, you should know the following: Integrity & Database Migration.

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