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Meet Magpie: The End-to-End Data Engineering Platform (VIDEO)

Silectis

Additionally, Magpie reduces your team’s IT complexity by eliminating the need to use separate data catalog, data exploration, and ETL tools. The whole data engineering process takes place directly within the platform, and eliminates the need to switch between different systems and tools. Ready to work smarter?

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Data testing tools: Key capabilities you should know

Databand.ai

Besides these categories, specialized solutions tailored specifically for particular domains or use cases also exist, such as extract, transform and load (ETL) tools for managing data pipelines, data integration tools for combining information from disparate sources or systems and more.

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What is Customer Data Integration?

Grouparoo

. | 3 | 8/19/2021 10:53:42 | | sl2090ch | Calvino | Nunes | cnunes@demo.com | Demo Co. | 2 | 8/19/2021 11:01:33 | | as9300lf | Agnieszka | Trautman | atrautman@demo.com | Demo Co | 2 | 8/19/2021 11:05:43 | | sd3820oe | Cassandra | Moreau | cassie.moreau@example.com | Example Co. |

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Monte Carlo Adds Fivetran Integration, Bringing Data Observability to the Orchestration Layer 

Monte Carlo

Monte Carlo, which maintains rich integrations with data warehouses and lakes like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, business intelligence tools like Looker, Tableau, and Mode, and ETL tools like Airflow and dbt, extends data quality coverage at ingestion with our native Fivetran integration.

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Monte Carlo Adds Fivetran Integration, Bringing Data Observability to the Orchestration Layer 

Monte Carlo

Monte Carlo, which maintains rich integrations with data warehouses and lakes like Snowflake, Databricks, Google BigQuery, and Amazon Redshift, business intelligence tools like Looker, Tableau, and Mode, and ETL tools like Airflow and dbt, extends data quality coverage at ingestion with our native Fivetran integration.

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Reverse ETL and Data Observability: Solving Data’s “Last Mile” Problem

Monte Carlo

It’s a new approach to making data actionable and solving the “last mile” problem in analytics by empowering business teams to access—and act on—transformed data directly in the SaaS tools they already use every day. Curious how Reverse ETL and Data Observability can unlock the potential of your company’s data?

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IBM InfoSphere vs Oracle Data Integrator vs Xplenty and Others: Data Integration Tools Compared

AltexSoft

To make a more informed decision, enquire about demos and do your own in-depth research. Before we start comparing these solutions face to face, it’s worth noting that all of them support extract, transform, load (ETL) and extract, load, transform (ELT) patterns. Talend Open Studio: versatile open-source tool for innovative projects.