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How Data Quality is an Important Data Lake Ingestion Challenge & What You Can Do to Ensure Your Data Lake Project is a Success
Data lakes were formed as a solution to storing unstructured data – an alternative to the restrictive nature of data warehouses. But this ease comes
Self-Service Data Preparation for Analytics Modernization
Different changes in the world of data have allowed organizations to manage their day-to-day requirements while preparing for big data future, analytics, and real-time operations.
The Advantages of Cleaning Data Stored Across Cloud and On-Premises
A large number of organizations these days are transferring their data to a cloud-based storage setting. However, the transition of the large volume of data
Data Wrangling Solutions – Making Successful and Resourceful Consumer Behavior Analysis Possible
The key to reducing consumer churn, attracting new consumers, and improving the prospect of upselling or cross-selling within existing consumers is knowing your consumer further
Network Optimization with Expected Performance – A Benefit of Data Wrangling For Telecom Providers
The largest telecom operators are those who are providing the customer service at par excellence, at scale, with effective personalization. To be able to accomplish
Optimize Your Analytics Tools Investments with Data Wrangling
There has been a substantial stress in the current landscape of data analytics. The massive volume of data these days demands tough analysis tools, which
Why Data Cleansing is Essential for a Successful ERP Implementation
A recent Gartner study predicts that more than 70% of recently implemented ERP initiatives will fail to fully meet their goals – and up to
ETL vs. Data Preparation – What’s Right for Your Business
What if the very process you rely on to manage your data is holding your business back? Extracting meaningful insights from the flood of data
How You Can Leverage Your Data As A Competitive Advantage?
Most of the well-experienced business leaders in the current era totally comprehend the importance of the data as a fundamental asset for their businesses. They
