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.

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.

Navicat Data Modeler is a powerful and cost-effective database design tool which helps you build high-quality conceptual, logical and physical data models. It allows you to visually design database structures, perform reverse/forward engineering processes, import models from ODBC data sources, generate complex SQL/DDL, print models to files, and much more.

Recover deleted files using Comfy File Recovery . The program recovers accidentally deleted files, information lost after formatting logical volumes on hard drives, USB flash drives, and memory cards. The program's “Partition search” function lets you find and continue recovering files from a deleted logical partition. The program's capabilities: • Recovers accidentally deleted files regardless of type: documents, digital images, compressed archives, music and videos; Recovers information that was lost after emptying the Recycle Bin and files that were deleted using the “Shift” + “Del” keys (without using the Recycle Bin);

• Recovers data that was lost after quick and total formatting or total deletion of a logical drive; Supports the following file systems: VFAT, FAT16, FAT32 and NTFS3, NTFS4, NTFS5, NTFS6 (including recovery of ADS - alternative data streams, and recovery of files on compressed and encrypted partitions);

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.

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.