iOS Forensic Toolkit - perform physical and logical acquisition of iPhone, iPad and iPod Touch devices. Image device file system, extract device secrets (passwords, encryption keys and protected data) and decrypt the file system image.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

Refine Volume Snapshot
1) Particularly thorough file system search
• FAT12/FAT16/FAT32: This option searches for orphaned subdirectories (subdirectories that are no longer referenced by any other directory).
• NTFS: This option searches for FILE records in sectors that do not belong to the current MFT. Such FILE records can be found e.g. after a partition has been recreated, reformatted, moved, resized, or defragmented. With a forensic license, in a second and third step, this option also searches INDX buffers and $LogFile for noteworthy index record remnants, which either reveal previous names or paths of renamed/moved files/directories that were known to the volume snapshot before or deleted files that the volume snapshot was not aware of before (without file contents, though).

Perform physical and logical acquisition of iPhone, iPad and iPod Touch devices. Image device file system, extract device secrets (passwords, encryption keys and protected data) and decrypt the file system image.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

Easily create high-quality data models. Toad Data Modeler enables you to rapidly deploy accurate changes to data structures across more than 20 different platforms. It allows you to construct logical and physical data models, compare and synchronize models, quickly generate complex SQL/DDL, create and modify scripts, as well as reverse and forward engineer both databases and data warehouse systems. Toad's data modeling software simplifies database design, maintenance and documentation — at a price your organization can afford.

HDDPhysic is a stand-alone component (32/64-bit Windows dynamic-link library - DLL) that can be used to extract the physical vendor information from the computer hard disk drive, HDD (such as the unique serial number or model number). The physical hard disk serial number is a unique number per hard drive device. If you want a way to identify your application user by generating a serial number for the computer currently running, this is the best approach because you can actually lock your application to the user hard drive by checking the serial number. You can find the actual physical serial number written on your hard drive, just have a look at the hdd labels if you have visual access to your hardware.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.

Data modelers and architects have to respond to multiple levels of data-related business needs. Some key activities that may need their attention include:

Build out a data model as part of a development cycle
Discover and document existing assets across the data landscape
Create and populate a data warehouse
Build out an enterprise data model
Catalog metadata for data governance or data quality initiatives
Perform an impact analysis of new policies or projected changes to models, databases, or data fields
ER/Studio Data Architect helps to address all of these situations, with robust logical and physical modeling, data dictionaries, forward and reverse engineering, and more.