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Author: Jerod Johnson

CData SSIS Tasks in Azure Data Factory
July 14, 2020

CData SSIS Tasks in Azure Data Factory

by Jerod Johnson

Azure Data Factory allows you to build cloud-based data integration solutions. Microsoft and CData Software have partnered to extend your ETL and ELT processes in Azure Data Factory with more than 200 SSIS tasks and components, including connectivity to virtually any SaaS, Big Data, or No...

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Solutions & Use CasesData ConnectivitySSISAzure Data FactoryProducts
High Performance Drivers for Relational Databases
June 16, 2020

High Performance Drivers for Relational Databases

by Jerod Johnson

At CData, we are most commonly known for technologies that enable SQL access to SaaS, cloud, and other non-relational data sources. With application and data storage becoming increasingly distributed, solving the diverse connectivity needs of modern BI, ETL, and data integration has been ...

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Solutions & Use CasesCData DriversProductsSQL
Querying SQL Server Customers Table Data in SSMS
April 7, 2020

Introducing the Query Federation Driver

by Jerod Johnson

Working with related data from separate sources, like a dedicated CRM service and a local database, is something that typically requires significant development time and effort. One solution to this problem is migrating your disparate data sources into a single location, such as a data wa...

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Solutions & Use CasesData ConnectivityData VirtualizationCData DriversProducts
Python Logo
April 2, 2020

New CData Python Connectors

by Jerod Johnson

With its reputation as an easy-to-learn high-productivity programming language, Python has rapidly become one of the most popular tools for working with data. Python developers can make use of a vast ecosystem of tools, frameworks, and freely available modules to simplify data processing....

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PartnersData ConnectivityPythonCData DriversProducts
CData Connect Cloud Connector for Google Sheets
February 13, 2020

Introducing the CData Connect Cloud Connector for Google Sheets

by Jerod Johnson

We recently showcased a new addition to our CData Labs offerings, the CData Connect Cloud Connector for Looker Studio (formerly Google Data Studio), which simplifies connecting to your CData Connect Cloud instance (and therefore a wide range of SaaS, Big Data, and NoSQL sources) from Looker Studio. We are happy to ...

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Solutions & Use CasesNewsData ConnectivityGoogle Sheets
CData Connect Cloud Connector for Looker Studio
January 30, 2020

Introducing the CData Connect Cloud Connector for Looker Studio

by Jerod Johnson

In a previous article, we talked about how the CData Connect Cloud allows you to access live SaaS, Big Data, and NoSQL sources directly from cloud-based analytics, reporting, and ETL applications, including Looker Studio (formerly Google Data Studio). Now, connecting to your Connect Cloud instance from Looker Studio...

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Solutions & Use CasesNewsData ConnectivityGoogle Data StudioLooker Studio
Extend Databricks Connectivity with the CData JDBC Drivers
January 23, 2020

Extend Databricks Connectivity with the CData JDBC Drivers

by Jerod Johnson

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...

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Solutions & Use CasesData ConnectivitySalesforceCData DriversProducts
CData Cloud Hub
October 31, 2019

CData Cloud Hub: Live Cloud-to-Cloud Connectivity

by Jerod Johnson

Featured Integrations Oracle NetSuite + Google Data Studio Sage Intacct + SAP Analytics Cloud Microsoft Dynamics 365 + Tableau Online Google BigQuery + Microsoft Flow Business data is increasingly siloed behind different services, often for good reason. You have chosen your cloud storage ...

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Solutions & Use CasesData ConnectivityNetSuiteIntacctProductsData Integration
Amazon DynamoDB logo
October 18, 2019

High Performance Drivers and Use Cases for AWS DynamoDB

by Jerod Johnson

As an Amazon Web Services (AWS) offering, Amazon DynamoDB has access to many server-side resources. With cloud computing, organizations can configure their AWS account to allocate storage and compute resources for their DynamoDB instances as needed. If your client applications and connections aren't keeping up with the resources your organization has provisioned, you won't be able to make the most of your cloud investment. CData Drivers can be configured to leverage your organization's configured AWS resources to maximize client-side performance.

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Solutions & Use CasesCData DriversProducts
CData Bold BI Dashboard
September 24, 2019

How to Expand Bold BI Connectivity with CData Connect Cloud

by Jerod Johnson

Take your connectivity to the next level with Bold BI and CData Connect Cloud. Learn how in this informative article for your business.

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Solutions & Use CasesCData ConnectData ConnectivityProducts
Extending the AWS Ecosystem with Universal Data Access
August 19, 2019

Extending the AWS Ecosystem with Universal Data Access

by Jerod Johnson

Amazon Web Services (AWS) helps organizations host and manage their data processes, like building data visualizations and performing ETL tasks. At CData, we make it easy to connect AWS Services with heterogeneous business applications and distributed data stores to ultimately help busines...

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Solutions & Use CasesData ConnectivityCData SyncProducts
July 25, 2019

Data Warehousing with Amazon Redshift and CData Sync

by Jerod Johnson

When your business grows, so does the size and complexity of the data used to run the business and drive continued that growth. As businesses move from consolidated storage to a distributed SaaS, big data, and NoSQL portfolio, they often embrace some form of data warehousing to support th...

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Solutions & Use CasesData ConnectivityCData SyncData WarehousingProducts