Our friends over at Kin+Carta know that optimizing the full value of data and figuring out where to start can be difficult. That is why the company has authored this whitepaper on ways to make data work in four clear ways, while helping you take yours from Storage to Story, from modernization through to product optimization. The company’s approach is focused on creating digital products with data to enhance customer and business outcomes.
From Storage to Story: Delivering New Value by Unlocking the Power of Data
DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain
The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the data supply chain represents the technological steps and human-involved processes supporting the flow of data through the organization, from its source, through transformation and integration, all the way to the point of consumption or analysis.
Data Evolution in the Cloud: The lynchpin of competitive advantage
These questions are the focus of this report, based on a survey conducted by The Economist Intelligence Unit and sponsored by Snowflake. It reflects the views of 914 executives from eight industries across 13 countries worldwide and explores the current state of corporate data use, as well as executive hopes for the future. In particular, the goal is to illuminate how different industries are adapting their data strategies, engaging with the broader data ecosystem, and converting data insights into growth and performance.
Data Engineering Survey: 2021 Impact Report
This Data Engineering Survey: 2021 Impact Report summarizes key findings from the inaugural survey and provides a glimpse into the current and future state of data engineering and DataOps. The report highlights some of the major trends uncovered in this year’s survey including the adoption of cloud data platforms, what platforms are winning (and emerging), what data engineers find to be their biggest challenges, and how organizations are handling sensitive data.
The Continuous Intelligence Report: The State of Modern applications, DevSecOps and the Impact of COVID-19
Sumo Logic, (Nasdaq: SUMO), a pioneer in continuous intelligence, released exclusive findings from its highly-anticipated fifth annual report. ”The Continuous Intelligence Report: The State of Modern Applications, DevSecOps and the Impact of COVID-19” provides an inside look into the state of the modern application technology stack, including changing trends in cloud and application adoption and usage by customers, and the impact of COVID-19 as an accelerant for digital transformation efforts.
Enterprise Search in 2025
This white paper by enterprise search specialists Lucidworks, discusses how data is eating the world and search is the key to finding the data you need. The enterprise search industry is consolidating and moving to technologies built around Lucene and Solr. In the next few years we’ll see nearly all search become voice, conversational, and predictive. Search will surround everything we do and the right combination of signal capture, machine learning, and rules are essential to making that work. Fortunately, much of the technology to drive this is available to us today!
The Four Stages of the Data Journey (and how to get ahead)
Where is your organization on the data journey? Most of us are steadily moving toward the cloud, with most businesses planning to migrate to the cloud or expand their cloud footprint within a few years. But how do you get where you want to go? In this new whitepaper, our friends over at Matillion, the cloud-native platform for all your data integration, take a look at the different stages of the end-to-end journey and learn what it takes to get to the next level.
Obstacles to AI & Analytics Adoption in The Cloud
Trifacta launched a benchmark report in conjunction with Researchscape: Obstacles to AI & Analytics Adoption in the Cloud, to examine how data workers in the U.S. across industries are handling the increased move of data to the cloud, the time constraints endured when preparing data for analytics, artificial intelligence and machine learning initiatives, and the impact these obstacles have on the overall success of these projects.
Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures
This new white paper from Striim, “Streaming Cloud Integration: Key Data Considerations for Hybrid and Multicloud Architectures,” is a timely guide for enterprise decision makers who have accepted the benefits of moving to the cloud: elastic scalability, agility to launch innovative solutions quickly using modern technologies, better cash flow management, and lower expenses with a pay-as-you-go model, just to name a few.
Using the Cloud: Capitalizing on Performance, Analytics and Data
Demand for enterprise cloud services is growing exponentially. A recent Teradata survey indicates that by 2020, 90% of their customers expect to have a hybrid cloud environment—and more than 85% expect to buy analytics as a service. Download the insideAI News special report, courtesy of Teradata, to learn more about how to use the cloud to your advantage.