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What is IBM Lift?

IBM Lift streamlines the migration of your database from on-premises solutions to an IBM Cloud® data environment, enabling a swift, secure, and reliable transition. This tool is specifically designed for hassle-free cloud migration without any downtime, allowing for a seamless transfer of your complete database to the IBM Cloud. The migration process is divided into two key phases: schema conversion and data migration. To kick off the schema conversion, you must download the IBM Database Conversion Workbench, which assists you in modifying your source database DDL to ensure it aligns with your target system's requirements. Furthermore, the workbench will produce a report that points out specific areas necessitating your attention. Once your schema is successfully configured, you can move on to the data migration using the Lift CLI. Start by generating a series of CSV files that document the incremental changes for each database table. Next, leverage the Lift CLI to gather these delimited files, securely transmit them, and import them into IBM® Db2® Warehouse on Cloud, guaranteeing a smooth and effective migration experience. By meticulously adhering to these outlined steps, you can facilitate a successful transition to the cloud while minimizing disruptions and maintaining data integrity throughout the process. With IBM Lift, you can confidently embrace the advantages of cloud technology.

What is Apache Avro?

Apache Avroâ„¢ is a powerful data serialization system that provides complex data structures along with a compact and efficient binary format, as well as a container file designed for persistent data storage and remote procedure calls (RPC). This system also facilitates easy integration with dynamic programming languages, enhancing its versatility. Importantly, users are not obligated to generate code for reading or writing data files or for employing RPC protocols, as this optional feature is mainly beneficial for statically typed languages. At its core, Avro relies on schemas, which guarantees that the schema utilized during data writing is readily available for future reading, thus eliminating unnecessary overhead for each value and allowing for swift and efficient serialization. The self-describing characteristics of both data and its schema render Avro especially useful for dynamic scripting languages. When data is stored in an Avro file, the corresponding schema is encapsulated within it, enabling any application to subsequently process the files. In cases where a program encounters a different schema upon reading, it can easily adjust to accommodate the change, highlighting Avro's adaptability and strength in managing data. Ultimately, the schema-centric design of Avro not only boosts compatibility across diverse programming environments but also contributes significantly to its overall efficiency in data handling, making it a preferred choice for many developers.

Media

Media

Integrations Supported

Apache DataFusion
Apache Hive
Arroyo
Beats
Data Sentinel
Hackolade
SSIS Integration Toolkit
Semarchy xDI
Specmatic
Timeplus
Tonic Ephemeral
Warp 10
e6data

Integrations Supported

Apache DataFusion
Apache Hive
Arroyo
Beats
Data Sentinel
Hackolade
SSIS Integration Toolkit
Semarchy xDI
Specmatic
Timeplus
Tonic Ephemeral
Warp 10
e6data

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/lift

Company Facts

Organization Name

Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

avro.apache.org

Categories and Features

Categories and Features

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

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