Search: databricks

Data Lake
February 15, 2024

What is a Data Lake? Definition, Challenges, and 3 Solutions

Discover the benefits of data lakes: get insights into how they work, types, and best practices for data management. Optimize your data with CData.

Azure Data Factory
January 9, 2024

What Is Azure Data Factory? How It Works and Use Cases

Explore Azure Data Factory in our latest blog. Discover its vital role, functionalities, and how it powers seamless data workflows for success in your business.

Databricks logo
December 20, 2023

Understanding Databricks ETL: A Quick Guide with Examples

Elevate your data game with our Databricks ETL guide. From setup essentials to real-world examples, discover efficient data processing for your business.

JDBC driver in Java graphic
December 13, 2023

What Is a JDBC Driver in Java? 4 Types & Use Cases

Dive into the world of JDBC drivers with our latest comprehensive guide. Learn about their importance in ensuring robust database connections.

CData Sync
October 20, 2023

Announcing the CData Sync Q4 2023 Release

Announcing the latest CData Sync release. Catering to the ever-evolving needs of businesses and non-technical users alike, we've incorporated some new features that not only provide seamless data integration but also promote intuitive data management.

March 9, 2023

Free Webinar: Integrate Your Enterprise Data with Databricks & CData Sync

CData Sync, a powerful, modern data integration tool allows Databricks users to easily connect their CRM, ERP, accounting, marketing, and other systems with Databricks to consolidate and leverage your data, your way.

Arc Graphic
October 27, 2022

Introducing New Connectors, Sample Flows and API-Driven Features in CData Arc

The CData engineering team has been hard at work bringing exciting new features to both CData Arc Cloud and Arc on-premises. Read our latest article to learn about the latest features.

data warehouse
June 22, 2021

6 Best Data Warehousing Solutions for BI & Analytics

Data warehousing is a popular, powerful way to overcome data fragmentation challenges. At a high level, the process involves two steps. First, you must centralize data generated by your enterprise applications and systems into a common data warehouse. Then, you give your data analysts and decision-makers unified access to that data so they may perform analytics processes using their chosen data analytics tools.

data update
June 1, 2021

2021 Data Connectivity Update

We re pleased to bring you the latest CData 2021 driver refresh, complete with across-the-board driver enhancements and all-new data connectivity updates. With the new 2021 release, customers can now take advantage of enhanced metadata caching, faster data access, and expanded breadth of ...

ETL tools funnel
May 25, 2021

6 Best ETL Tools: Use Cases and How to Evaluate Them

Data-driven organizations typically base their analytics stack on a data warehouse that hosts data replicated from various sources. To support data warehousing, organizations need efficient tools to consolidate data.

Extend Databricks Connectivity with the CData JDBC Drivers
January 23, 2020

Extend Databricks Connectivity with the CData JDBC Drivers

Databricks is a cloud-based service that provides data processing capabilities through Apache Spark. When paired with the CData JDBC Drivers, customers can use Databricks to perform data engineering and data science on live data from more than 180 SaaS, Big Data, and NoSQL data sources. T...