ETL tools to Enrich your Enterprise Data

To be able to view and evaluate vast amounts of corporate data, it must first be collected from its sources, processed and stored somewhere. The three most important steps in this process are Extract, Transform, and Load (ETL). Enterprises should leverage the capabilities of their ETL tools to effectively facilitate these data transformation phases.

Modern organizations generate and process vast amounts of data that affect every aspect of their daily operations. The data may appear obvious, or it may consist of abstractions that are not obvious at first but can be extracted.

Analyzing data and drawing insights from it, regardless of its state, is the best choice for organizations to make better decisions. In this article, we explore the various ETL tools available on the market for manipulating data to drive business decisions.

What is ETL?

ETL (short for Extract, Transform, Load) is a data manipulation technique that allows data to be collected from multiple sources into a single unified storage unit and loaded into a target system. is. This process is commonly used as a precursor to on-premises and cloud-based data warehousing.

Why Use ETL Tools?

ETL tools are software and systems used to automate the flow of data from multiple sources into a consolidated data store. This includes carefully cleaning and labeling the data so that the end result is easy-to-use and manageable enterprise information.

The most widely used ETL tools help streamline some of the iterative processes in data pipelines. All manual processes such as writing the necessary code and mapping source data to target systems are managed and automated by ETL tools in a rapid and cost-effective manner.

Most Popular ETL Tools

Mergers and acquisitions have made many legacy ETL tools and systems obsolete, but there is still a wide range of options on the market. Below is a list of 10 of the most popular and robust tools for ETL, numbered in no particular order:

1) SAS ETL and Data Integration

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According to Matthew Magne, product marketing manager at SAS, the company's tool streams Twitter data into a data lake where it can be cleansed and profiled to identify consumers most likely to churn. A complete strategy can then be developed to retain all this data for future use.

2) Workato

Workato introduces the new idea of ​​Reverse ETL, the process of transferring data from a data warehouse containing master data back to downstream systems in real-time or time-based batches. A pioneer in integration-centric automation, Workato allows him to quickly and successfully deploy both ETL and Reverse ETL architectural patterns without relying on data engineers.

3) Informatica

Data integration tools for ETL, data masking, data quality, data replication, data virtualization, master data management and more. Provided by the Informatica platform. One of the most popular data integration tools for connecting to and retrieving data from many data sources is Informatica ETL. The data enrichment process with Informatica is extremely cheap and easy to get started. Power your cloud analytics with clean, reliable data to gain intelligent, automated business insights.

4) Fivetran

Fivetran is a provider of one of the best range of fully managed ETL connectors. Our pipelines update automatically and frequently, so you can focus on breakthrough insights instead of ETL. Fivetran's easy-to-use platform adapts to API changes and quickly retrieves new and detailed data. Column, table, and row updates are applied instantly and explore your data instantly.

5) Census

Census is an operational analytics platform that connects business applications to data warehouses. Recently, we launched a new set of observability tools to help data teams sync connections with confidence. These new capabilities enable engineers and analytics professionals to validate data quality, fix data issues before they impact end users, and gain visibility into data warehouse pipelines built with Census.
Additionally, it provides a complete log of all synchronized data points within the warehouse, facilitating auditing, troubleshooting, monitoring, and alerting.

6) Qlik Cloud Data Integration

Qlik Cloud offers a great suite of ETL tools that enable different aspects of your data manipulation workflow. Qlik is compatible with the data type schema used by one of its tools, EasyMorph. Like Qlik, EasyMorph does not have fixed column data types, so text and numbers can coexist in the same column. Dates in Qlik and EasyMorph are exactly the same, so no conversion is required. As an alternative to scripting, EasyMorph lets you create drag-and-drop workflows visually. It also integrates easily with Qlik Sense, another handy tool from Qlik.

7) Databricks Lakehouse Platform

To provide the reliability, robust governance, and performance of a data warehouse, along with the openness, flexibility, and machine learning support of a data lake, the Databricks Lakehouse Platform integrates data It combines the best components of a lake and a data warehouse. Work more effectively and innovate faster with a unified approach to data management, security, and governance.

8) Tibco Omni-Gen

Omni-Gen Data Integration Edition enables users to access and profile data by linking on-premises and cloud-based processes, regardless of source type or required latency. , and can be integrated. Services, applications and data structures. Available for iPaaS and cloud deployments.

9) Hevo Data

Hevo Data is a no-code bi-directional data pipeline platform specifically designed to meet the needs of modern ETL and reverse ETL. It helps data teams streamline and automate data flows across the enterprise, saving nearly 10 hours of engineering time per week and delivering 10x faster reporting, analysis, and decision making.

10) Adverity

Adverity's data harmonization engine gives you access to the best possible data. It provides sanitized data from all sources and instantly connects to Looker. Users can import tailored data from all of their favorite media, e-commerce, and marketing sources into Looker.