Connect SFTP to IBM DB2

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SFTP
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IBM DB2
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About SFTP

A customer favorite for extracting data from files as well as loading data to files. Excel, CSV, JSON, XML, and more supported.

About IBM DB2

Finding a good Db2 connector is tough! Use ours for both extracting data from and loading data to.

SFTP's End Points

Table of Contents
  • Connect SFTP data for a single source of truth
  • Extract and load data from SFTP quickly
  • Integrate.io has the SFTP data integrations you need
  • How Integrate.io customers power growth with its SFTP connector
  • Get started moving data in minutes
  • Why choose Integrate.io for SFTP data integration?
  • Get started on SFTP data integration
  • Explore our SFTP resources
Connect SFTP data for a single source of truth
SFTP handles various formats, like JSON, XML, and .csv files, making it the standard for file transfers. You might store marketing data in files on an SFTP server and transfer it to clients or stakeholders. But what happens if you want to ETL SFTP data to a warehouse or other target location? Integrate.io can help! Its SFTP connector accesses your critical data and transfers it to a supported destination via ETL, allowing you to generate insights about marketing processes.
  • Moving marketing data to a warehouse with Integrate.io provides a central storage location for analytics.
  • You can run data in your warehouse through BI tools like Looker and Tableau and learn more about customers, campaigns, and day-to-day marketing workflows.
  • You can also move data from other platforms to your warehouse and compare it with data in files on an SFTP server.
Transferring SFTP data to a warehouse is easier with Integrate.io. You can remove the complexities of SFTP data integration and visualize data on reports, dashboards, and summaries for more effective business intelligence. Schedule an intro call to learn more about Integrate.io's native out-of-the-box SFTP connector.

Quickly extract and load data from SFTP
SFTP runs over the SSH protocol and can transfer large files over the internet. However, moving data in files on an SFTP server via ETL requires complex tasks such as coding, authentication, permissions, command lines, SSL, templates, and automation. Integrate.io takes care of the heavy lifting of ETL, making life easier for your data team.
  • Integrate.io extracts data from files in an SFTP server and puts it in a staging area for data processing.
  • Integrate.io transforms the data into the correct format for data analysis. That can improve data quality and even help you comply with data governance frameworks like GDPR.
  • Integrate.io loads the data to a supported destination, such as a warehouse, allowing you to run that data through BI tools.
Integrate.io's connector can also push data into an SFTP server. Its bi-directional functionality allows you to configure an SFTP server as a source and destination, providing more flexibility for your data integration projects. Set up an ETL trial meeting to discuss your particular use case and learn more about integrating SFTP data.

Integrate.io has the SFTP data integrations you need
Now you don't need to spend weeks establishing an ETL connection for SFTP integration. Integrate.io's pre-built connector does all the hard work for you, meaning you don't need to hire additional data engineers to move SFTP data to your desired location.

Examples of Integrate.io SFTP data integrations Try Integrate.io yourself by signing up for a 14-day free trial, and experience the powerful capabilities of this no-code data pipeline platform for SFTP data integration optimization.

How Integrate.io customers power growth with its SFTP connector
Integrate.io's customers who integrate SFTP data benefit in the following ways:
  • Integrate.io integrates SFTP data without customers having to write complicated ETL scripts. The platform automatically manages and prepares data sets via its connector and sends notifications about data integration bottlenecks.
  • Customers can choose and filter the SFTP data they want to integrate via ETL, improving compliance and delivery. Integrate.io customizes integration based on each use case.
  • Integrate.io can remove the human error that happens during integration. Customers eliminate mistakes when building complex ETL pipelines from scratch and improve back-end data engineering.
Get started moving data in minutes
ETLing data to and from key files in an SFTP server is a simple process with Integrate.io. Start by supplying some details about your project on a form and talk to an expert about your business requirements for integration. Integrate.io provides a helping hand during every stage of your integration journey, giving you more value from the data that powers your business.

Why choose Integrate.io for SFTP data integration?
Save money
Manually creating ETL pipelines for SFTP can go wrong if you lack the necessary skills, resulting in you having to start the process all over again. That can cost money! Let Integrate.io handle SFTP data integration for you.

Customer service
Need help troubleshooting an SFTP ETL issue? Want to learn about a new data integration feature? Integrate.io has your back! Talk to the team via phone, email, or live chat.

Resources
Access online resources such as tutorials, docs, and user guides during your data integration project and improve the success of SFTP ETL.

Pre-built connectors
Integrate.io doesn't just have a pre-built connector for SFTP but various connections for data sources and destinations. Find connections for IBM Db2, Salesforce, Instagram, Oracle Database, Facebook, Shopify, Amazon S3 (AWS), Google Cloud Platform, Microsoft Azure Blob Storage, Mongo DB, and more.

REST API connector
Can't find the connection you require for a data transfer on Integrate.io? Build your own! Fetch data from nearly any source with a REST API via the platform's REST API connector.

Get started on SFTP data integration
Use SFTP? ETLing data from files in an SFTP server doesn't have to be a chore. Integrate.io's native bi-directional connector for SFTP comes out of the box, helping you quickly move data to a supported destination. Register for an ETL trial setup meeting, and discover how Integrate.io can move your data integration goals forward.

IBM DB2's End Points

IBM Db2 Database
Db2 Database is a relational database management system (RDBMS) optimized for high-performance transactional workloads. As an operational database management system, Db2 Database is not only highly performant and reliable, but it also allows you to derive actionable insights from your operational data. Db2 Database delivers advanced features like in-memory technology, storage optimization, continuous data availability, workload management, and cutting-edge management and development tools. Db2 Database is compatible with Windows, Linux, and Unix.
IBM Db2 on Cloud (IBM Db2 Hosted)
Db2 on Cloud is a fully-managed, SQL-based transactional database that runs on the cloud. One of the defining characteristics of Db2 on Cloud is its high-availability option, which delivers 99.99% uptime (according to IBM). This cloud-based database offers automatic security updates and independently scalable storage and processing, which automatically scales resources up and down based on usage requirements. Available on AWS and IBM Cloud, Db2 on Cloud delivers advanced features for backup and recovery, encryption, and data federation. Through its private networking features, you can also deploy Db2 on Cloud on a private network accessible over a secure VPN. Db2 Hosted is the hosted, unmanaged version of the Db2 on Cloud SQL-based cloud database.
IBM Db2 Warehouse
As a data management system optimized for high-speed read operations, data aggregation, and analysis, IBM Db2 Warehouse has evolved over time to offer a range of advanced analytics and data management features. Db2 Warehouse allows you to combine data from various transactional and operational database systems, and analyze it to find deep insights, patterns, and hidden relationships. Db2 Warehouse supports a range of data types, machine learning algorithms, analytical models. For example, Db2 Warehouse supports relational data, non-relational data, geospatial data, multi-parallel processing, predictive modeling algorithms, in-memory analytical processing, Apache Spark, RStudio, XML data, embedded Spark Analytics engine, and more. Db2 Warehouse runs on-premises, on the private cloud, and on various public clouds as a managed or unmanaged solution.
IBM Db2 Warehouse on Cloud (dashbDB for Analytics)
Db2 Warehouse on Cloud (formerly known as “dashDB for Analytics”) is a fully-managed, highly-scalable, cloud-based data warehouse management system. IBM optimized Db2 Warehouse on Cloud to perform compute-heavy data analytics and machine learning processes at scale. The product offers autonomous cloud services with Db2's autonomous self-tuning processing engine, in addition to its fully-automated database monitoring, uptime monitoring, and operations monitoring. Db2 Warehouse on Cloud also includes capabilities for column-based storage, querying compressed datasets, data skipping, and in-memory processing. Finally, Db2 Warehouse on Cloud delivers in-database geospatial data and machine learning features – including algorithms for ANOVA, Association Rule, k-means, Naïve Bayes, Regression analysis, in-database spatial analytics, support for Esri data types, and it natively includes Python drivers and a Db2 Python integration for Jupyter Notebooks. To access these and other features, you can deploy Db2 Warehouse on Cloud via AWS or IBM Cloud.
IBM Db2 BigSQL (IBM SQL)
Db2 BigSQL (formerly known as “IBM SQL”) is a high-performance SQL data engine on Hadoop featuring a Massively Parallel Processing (MPP) architecture. Also known as “Big SQL,” this highly-scalable data engine offers ease and security while querying data from multiple sources across your enterprise. Big SQL can rapidly query data from the widest variety of sources such as RDBMS, HDFS, WebHDFS, object stores, and NoSQL databases. As a hybrid ANSI-compliant SQL engine, Big SQL is highly performant when running queries on unstructured streaming data. Finally, Big SQL is compatible with the entire suite of Db2 products, in addition to the IBM Integrated Analytics System.
Db2 Event Store
Db2 Event Store is a data management system optimized for storing and analyzing high-speed, high-volume, streaming data. Use-cases for Db2 Event Store include Internet of Things (IoT) networks, financial services systems, telecommunications networks, industrial systems, and online retail business systems. The solution offers high-speed analytics and data capture features that allow you to save and analyze up to 250 billion event records daily using only three server nodes. Db2 Event Store integrates IBM Watson Studio technology to support artificial intelligence and machine learning analyses. The solution was also built on Spark, so it works with Spark SQL, Spark Machine Learning, and other compatible tools. Finally, Db2 Event Store supports Go, ODBC, JDBC, Python, and other languages.

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