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Databricks and Connect for Big Data

Breaking down data silos by integrating legacy, mainframe and IBM i data into Databricks Unified Data Analytics platform for cloud-based AI and ML projects

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Liberate Data with Databricks and Syncsort

Most enterprise organizations are dependent on analytics, AI, and ML projects to make intelligent decisions and to increase effective interactions with customers and suppliers. However, obtaining full visibility into all critical data is one of the most challenging aspects of these initiatives. The risk of missing critical data is especially high for organizations dealing with data silos, expanding data volumes and incompatible data formats.

Syncsort’s Connect for Big Data and the Databricks Unified Data Analytics Platform work together to help you to address these challenges. As the industry leader in accessing and integrating complex data types, Syncsort offers high-performance data integration that transforms mainframe data. Connect for Big Data sources/targets include:

  • Mainframe data: VSAM, COBOL Copybooks, mainframe fixed and sequential files
  • RDBMS: Oracle, SQL, Db2, MySQL, Sybase, PostgreSQL
  • Semi-structured data: JSON, XML
  • Enterprise data warehouses: Teradata, IBM Netezza, Vertica, Greenplum
  • Cloud: Amazon AWS, Microsoft Azure, Google Cloud Platform
  • Big Data: Hadoop, Hive
  • Streaming platforms: Apache Kafka
  • Flat files: Fixed length, variable length, delimited

Together, Syncsort and Databricks eliminate data silos across your business to get your high value, high impact, and complex data to the cloud.

Databricks and Syncsort enable you to build a data lakehouse, so your organization can bring together data at any scale and get insights through advanced analytics, BI dashboards, or operational reports. Connect for Big Data effectively offloads data from legacy data stores to the data lakehouse, breaking down your data silos and helping you to keep data available as long as it is needed.

The data lakehouse needs scalable solutions that collect, blend, transform, and distribute data across the enterprise. Connect for Big Data delivers these capabilities with an end-to-end managed approach for offloading data.

Connect for Big Data is your single tool for creating seamless workflows that simplify delivery of critical data assets to Databricks. Use Connect for Big Data to easily filter tables, columns, or data types, so you can move data when and where you need it most.

Machine learning has become a requirement to gaining in-depth and accurate insights from an increasing variety of data types and formats. But it isn’t easy. Most organizations need to overcome complex infrastructures and scale resources, while preserving performance —and budgets. Organizations can turn to Databricks and Syncsort to address this challenge.

Connect for Big Data collects the data you need from all your legacy data stores and sends it to Databricks, which provides a scalable framework for machine learning, powered by Apache Spark. Connect for Big Data not only has native Spark integration, but also has a design once, deploy anywhere architecture that means you never have to worry about rebuilding applications on standalone server environments for use in Databricks. Moving applications is as easy as clicking a dropdown menu.

Connect for Big Data does not need code changes when deploying on different frameworks. Connect for Big Data users can design sophisticated data transformations focused solely on business rules without worrying about the underlying platform, execution framework, or investing in a new set of skills.

Your department is facing new requirements for hybrid or intercloud integration, forcing you to rethink your existing data integration practices. Do not lock yourself into a cloud vendor or legacy solution that results in an unmanageable point-to-point integration you can never escape.

Syncsort helps you to future-proof applications for agile consumption of cloud platform services delivered by Databricks, including batch and streaming data. Connect for Big Data allows you to quickly move applications from standalone server environments and leverage scalability of elastic Databricks clusters with no coding needed. Without the need for staging, you can access, re-format, and load data directly into the Databricks United Analytics Platform. Move from development to test to production with a click of a button.

Syncsort Connect for Big Data’s flexible architecture is suited for deployment on public, private, multi-cloud and hybrid cloud environments.

Connect for Big Data provides a small footprint but delivers the comprehensive features needed to manage, secure, and govern integration of data into modern data platforms like Databricks Unified Data Platform. Connect for Big Data offers high-performance connectivity that can be leveraged to run petabyte-scale ETL pipelines using the elastic scalability of Databricks solutions.

Feed your modern data ecosystem with legacy data

Your enterprise is looking to use data to accelerate innovation for analytics, AI, and ML projects. However, as data silos, expanding data volumes, and incompatible data formats grow, it can be a challenge to get the results you want for your most innovative projects. Together, Databricks and Syncsort help you to facilitate high-performance analytics, AI, and machine learning. Easily access and optimize key data sources to deliver innovation back to the business with little disruption.

Learn more about the Connect Product Family, download the product brochure.

Syncsort and Databricks Architecture


Syncsort and Databricks Architecture

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Connect for Big Data

Integrating application data from traditional systems with Big Data platforms to power AI, machine Learning and advanced Analytics

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Connect CDC

Delivering real-time insights across the enterprise with streaming data pipelines, change data capture and database replication

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Connect ETL

Transforming and delivering application data for analytics with speed, efficiency and flexible “design once, deploy anywhere” approach

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