Your Privacy

This site uses cookies to enhance your browsing experience and deliver personalized content. By continuing to use this site, you consent to our use of cookies.
COOKIE POLICY

ETL Data Prep: Spring Cleaning For Data

ETL Data Prep: Spring Cleaning For Data
Back to insights

Digging In on Dataverse by Lavastorm

The outcome of any analytics project is limited by the quality of data available to the organization. Most companies are familiar with data quality issues and how significantly they can hinder efforts to make data-driven decisions. Companies that can implement robust data management practices will have a competitive advantage in every industry as they reap the benefits of trusted, reliable data.

Key points about data quality:

So you get it, data quality is IMPORTANT. But what can you do today to start tackling data quality challenges in your organization? Find a self-service ETL data prep tool that works for you. There are countless options out there, but today I’m writing about Dataverse by Lavastorm.

Dataverse by Lavastorm

Dataverse is a web-based desktop application designed for data processing, integration, and analytics. It can import data from many standard sources (Excel, database, SharePoint, XML, MongoDB, etc.) and export the processed data to several formats.

Dataverse, like many other ETL publishers, offers a basic free version and a paid version with enhanced functionality. Compared with other freeware, Dataverse provides extensive functionality that may be sufficient for a wide range of industries. Dataverse’s simple interface allows users to visualize data transformations quickly and easily. There are hundreds of built-in functions, and users can define their own custom functions as well. You can build data flows in Dataverse that can help you identify and correct errors in your data (e.g. duplicate records, incorrect date formats, missing fields, etc.).

One of the major limitations of the Dataverse freeware is a cap on the number of rows that can be processed through at a given time; the maximum is 2 million rows. The paid versions of Dataverse offer unlimited rows as well enhancements like security integration, API support, and automation.

Tips to get started with Dataverse freeware:

  • Product available for download HERE
  • Simple tutorial videos posted by Dataverse HERE
  • Make sure you adhere to the technical setup requirements listed on the download site or you will experience reduced performance
  • Application includes a thorough embedded help directory; additional resources can be accessed on their community page HERE

Alternative technologies to Dataverse (list is not comprehensive):

  • Talend Open Studio, free (very limited capabilities compared to paid version)
  • CloverETL Community, free (very limited capabilities compared to paid version)
  • Pentaho
  • Informatica
  • SSIS
  • Oracle Data Integrator
  • IBM InfoSphere DataStage

Data quality is just one piece of a modern data management strategy. These challenges can be daunting and hard to fix on your own. Fortunately, you don’t have to go it alone. UDig is here to help. With expertise in Data Governance, Data Integration, Data Architecture, and BI & Analytics we’re ready to back you up.

 

Digging In

  • Data & Analytics

    Masking Data 101: Safeguarding PII in Your Organization

    In today’s digital age, data security and privacy are paramount. As organizations increasingly collect, store, and process personal data, protecting Personally Identifiable Information (PII) has never been more critical. One essential practice that organizations can implement at the database level to secure this sensitive information is to obfuscate it through the usage of data masking […]

  • Data & Analytics

    Unlocking the Full Potential of a Customer 360: A Comprehensive Guide

    In today’s fast-paced digital economy, understanding your customer has never been more critical. The concept of a customer 360 view has emerged as a revolutionary approach to gaining a comprehensive understanding of consumers by integrating data from different touchpoints to offer a holistic view. A customer 360 view is about taking an overarching approach to […]

  • Data & Analytics

    Microsoft Fabric: A New Unified Data Platform

    MicroPopular data services and tools often specialize in specific aspects of the data analytics pipeline, serving teams in the data lifecycle. For instance, Snowflake addresses large-scale data warehousing challenges, while Databricks focuses on data engineering and science. Power BI and Tableau have become standard tools for business intelligence tasks. So, where does Microsoft Fabric create […]

  • Data & Analytics

    Improve Member Experience: Maximize Engagement & Value for Associations

    As you know, member engagement is key to providing value and retaining members over time. However, you must also recognize that member needs and preferences are evolving rapidly, especially as they desire more seamless digital experiences. Additionally, member expectations for personalized, omnichannel interactions have risen in recent years, and this means that associations must strategically […]

  • Data & Analytics

    A Guide to Data Strategy Success in Your Association

    While countless organizations aim to harness the potential of data, few possess a clear strategy to transform raw information into actionable insights that fuel their operations and marketing efforts. Don’t fall into the trap of investing in limited, tactical solutions.

  • Data & Analytics

    ChatGPT & Your Data Strategy – Revolution or Evolution?

    You would be hard-pressed to find a single person who was not some degree of impressed when they first tried out ChatGPT. After its public release, the conversation in the tech space seemingly changed overnight about how AI would change everything. But much like past hot topics in the tech world – such as the […]