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Report: New Data Management Models Are Essential To Operate In The Cloud

As organizations increasingly embrace cloud-first principles and the quantity and variety of their data exponentially increases, Capital One’s new Forrester study finds the vast majority of data management decision-makers are deeply concerned about controlling and forecasting data costs, leveraging data at scale, addressing data quality and consistency, and better protecting data.  

Benefits of Automation for Enterprise Data Management

In this article we’ll take a look at how’s and why’s that organizations from many industries are jumping on the automation for data management movement. It’s important that stakeholders understand how well automation performs repetitive data management responsibilities, what tasks still require a human in the loop, and how to evaluate data management automation capabilities.

Looking Ahead | Observability Data Management Modernization

In this contributed article, Karen Pieper, VP of engineering at Era Software, discusses how organizations today use real-time data streams to keep up with evolving business requirements. Setting up data pipelines is easy. Handling the errors at each stage of the pipeline and not losing data is hard.

Surpassing Decentralized Data Management Woes with Data Virtualization

In this contributed article, editorial consultant Jelani Harper discusses how data virtualization enables organizations to surmount obstacles (i.e. data quality, schema, and data integrations that are foundational to data management) and to focus on benefits (i.e. remote collaborations characteristic of working from home, the takeoff of the cloud as the de facto means of deploying applications, and the shift to external sources of unstructured and semi-structured data). Supplementing it with mutable graph data models boosts its applicability to data of all types.

The State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and UK, this whitepaper explores the data management challenges organizations are facing, the vital role data warehouses play, and the road to success.

The State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who  surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and  UK, this whitepaper explores the data management challenges organizations are facing, the  vital role data warehouses play, and the road to success.

83% of IT Leaders are Not Fully Satisfied with their Data Warehousing Initiatives, According to New Research from SnapLogic

New research published by SnapLogic, provider of the Intelligent Integration Platform, reveals that 83% of organizations are not fully satisfied with the performance and output of their data management and data warehousing initiatives. IT leaders cite a growing number of disconnected applications and data sources, outdated legacy systems, and slow and manual data movement as reasons for their frustration, all of which are stalling progress and costing them millions.

Interview: Steve Yurko, CEO of APEX Analytix

I recently caught up with Steve Yurko, CEO of APEX Analytix to discuss his views on the big data technology landscape in 2020. in order to become true big data winners, companies need to prioritize quality data as the foundation of predictive analytics that ultimately answer real business questions.

Actian Survey of IT Decision Makers Reveals Top Data Management Challenges and Industry Shift to Hybrid Data

Actian, the hybrid data management, analytics and integration company, announced the results of an IT Decision Maker (ITDM) survey. The “Actian Datacast 2019: Hybrid Data Trends Snapshot” polled over 300 IT professionals with key decision-making power in a company of at least 250 employees and asked them what their critical data management pains are.

From Out of Nowhere: the Unstoppable Rise of the Data Catalog

The data catalog has come from nowhere in the past five years to become a key enabling technology for multiple use cases including self-service analytics, self-service data preparation and multi-location data management. Download a new white paper from Unifi Software that explores the data catalog as a major data management breakthrough, as well as its importance in enabling modern analytics architecture.