Name: SSIS Data Flow Components
Price: 549.95 USD
Rating: 8.1 (5 reviews)
Author: Devart

Help Desk

Web and Video Conferencing

Customer Support

Java Technologies

Service Mesh

Development

Academic Advising

Education

Business Intelligence (BI)

Collaboration

Desktop Publishing

Enhanced 911 (E911)

Interactive Voice Response (IVR)

Risk Management

VoIP

Enterprise

Accounting

Crypto Asset Management

Invoicing

Finance and Accounting

Applicant Tracking

Corporate Learning Management

Credentialing

HR Management

Leave Management

Payroll

Recruitment Automation

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Application Infrastructure

Cloud Storage

Data Masking

Email Verification

File Sync and Share

Fraud Detection

HTML Editors

IT Asset Management

Integration Platform as a Service (iPaaS)

License Management

Log Management

Machine Learning

Network Performance Monitoring

Network Troubleshooting

Operating Systems

Remote Support

Secret Managers

Software Distribution

Tape Storage

Threat Hunting

Threat Intelligence

Vector Databases

VoIP Monitoring

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Brand Intelligence

Content Management

Email Marketing

Graphics

IP Geolocation

Marketing Automation

Social Login

Social Media Management

Survey & Forms Building

Swag Management

URL Shorteners

Web Analytics

Marketing

Project Management

Professional Services

Customer Relationship Management (CRM)

Sales Acceleration

Sales

Video Surveillance

Security

Auto Repair

Building Information Modeling (BIM)

Emergency Notification

HIPAA Compliance

Laboratory Information Management

Legal Billing

Vertical-Specific

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BigCommerce

PostgreSQL

MySQL

SSIS Data Flow Components have proven to be a valuable solution for businesses looking to automate complex data transformation tasks. Users have reported saving significant amounts of time and reducing errors while collecting data from various sources, including Excel, SQL, CSV, and XML. The software's ease-of-use is highlighted by its drag and drop functionality, which allows users to perform complex tasks with ease.

One of the key business problems that this software solves is moving data into data warehouses. Users report that they can develop and deploy SSIS packages in a more timely manner, improving efficiency. Additionally, the product has been beneficial for organizations requiring historical data maintenance. Deployment and maintenance are not considered an overhead, so users can see a clear ROI on their investment in the product. While some users have experienced speed and reliability issues when syncing orders and order items to a database, customer service has been responsive to these issues providing patches to trial before purchase. Overall, the SSIS Data Flow Components provide a valuable solution to businesses looking to automate data transformation tasks and improve efficiency within their organization.

Fast Data Transfer: Multiple users have stated that SSIS Data Flow Components are an extremely fast and efficient tool for transferring data. The speed of data transfer is a crucial aspect of any ETL tool, making it a significant advantage for users who need to process large amounts of data quickly.

Ease of Use with Relational Databases: Reviewers have noted that the Execute SQL task in SSIS adds a lot of ease of use when dealing with relational databases. Some users who work frequently with these types of databases appreciate this feature as it saves them time and effort during the development process.

Flexibility and Adaptability: Several users have found that SSIS can be a flexible and adaptable tool that can work with a variety of data sources and systems. This adaptability is highlighted by features such as easy connection to MySQL database hidden behind an SSH server, simplifying the integration process with Salesforce, etc.

Setup Issues: Some users find the setup process fiddly and note that SQL Server Data Tools is necessary to run it. Additionally, the software only works on Visual Studio 2017 and not 2019, which can create compatibility issues for some users.

Missing Menus and Error Box Disappearances: Occasionally, when opening packages, side menus are missing from the software's user interface. Furthermore, the error box at the bottom sometimes disappears as well, making it difficult for reviewers to pinpoint and solve issues with scripts.

Limited Database Support: The software does not provide enough support for other databases like Oracle or Teradata. This limitation can make it challenging for some customers to use the product effectively.

SSIS Integration Database Bundle

SSIS Integration Cloud Bundle

SSIS Integration Universal Bundle

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SSIS Data Flow Components

Data integration involves combining data residing in different sources and providing users with a unified view of these data.

Data Integration

Integrating Asana using SSIS for ETL with databases or services

<p>Devart was founded in 1997 and is a leading developer of database tools, administration software, and ALM solutions.  The vendor is also a data provider for various data servers, data integration and backup solutions. </p>
<p>Devart’s customer base includes both Fortune 100 and Fortune 500 companies as well as governmental agencies, educational and scientific institutions, freelancers and private individuals.</p>

Devart

Data Source Connection

Ability to connect to multiple data sources

Connect to traditional data sources

Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications

Connecto to Big Data and NoSQL

Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases

Data Transformations

Data transformations include calculations, search and replace, data normalization and data parsing

Simple transformations

Simple data transformations are calculations, data type conversions, aggregations and search and replace operations

Complex transformations

Complex data transformations are data normalization, advanced data parsing, etc.

Data Modeling

A data model is a diagram or flowchart that illustrates the relationships between data

Data model creation

Ability to create and maintain data models using a graphical tool to define relationships between data

Metadata management

Automated discovery of metadata with ability to synchronize and share metadata with other tools like Master Data Management

Business rules and workflow

Ability to define and manage business rules and workflows

Collaboration is enabled by a shared repository of project information and metadata

Testing and debugging

Tool to debug and tune for optimal performance

Data Governance

Data governance is the practise of implementing policies defining effective use of an organization's data assets

Integration with data quality tools

Integration with tools for cleansing, parsing and normalizing data according to business rules

Integration with MDM tools

Integration with master data management tools to ensure data consistency across the organization

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SSIS Data Flow Components

Overview

What is SSIS Data Flow Components?