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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.

How to Overcome Obstacles in Data Lake and Warehouse Strategies: 3 Best Practices for Enterprise Architects

In this special guest feature, Kimberly Read, the enterprise architect at Faction, suggests that to support the business case for multi-cloud, enterprise architects can benefit by addressing three primary considerations. Multi-cloud initiatives—drawing on services from public and private clouds—can help organizations stay ahead of the curve.

Interview: Prat Moghe, CEO of Cazena

I recently caught up with Prat Moghe, CEO of cloud data lake leader Cazena to get his take on how getting off the ground with cloud data lakes continues to be a major frustration for enterprises. We’re seeing such deployments taking at least six months and millions of dollars of annual spend for in-house development and management. There’s got to be a better way. Gartner has estimated the failure rate of big data projects as high as 80%. What can you do about companies that stubbornly hang on to legacy data strategies, using analytics/BI approaches that put them ever-more behind competitors who are modernizing their data stack with AI/ML/etc? In this interview, we’ll get some valuable perspectives for you to follow in accelerating your time-to-analytics.

Understanding NoSQL Databases: Document Stores

In this contributed article, Alex Williams, Writer/Researcher at Hosting Data UK, discusses document-oriented databases (also called: aggregate databases, document databases or document stores) and how they place each record, and its associative data, inside single documents. This database type is a subset of the NoSQL umbrella, which refers to the growing list of popular database management systems that use ‘non-relational’ models — i.e. databases that don’t rely on Structured Query Language, SQL.

Data Evolution in the Cloud: The lynchpin of competitive advantage

This report from our friends over at Snowflake reveals the extent to which the data sharing economy is powering business growth and how organizations are leveraging data from a range of sources to drive innovation, create better customer experiences, and meet regulatory requirements.

Zorroa Launches Boon AI; No-code Machine Learning for Media-driven Organizations

Zorroa Corp., a leading provider of accessible machine learning (ML) integration solutions backed by Gradient Ventures, Google’s AI-focused venture fund, today officially launched a first-of-its-kind ML SaaS platform, Boon AI. Boon unlocks the ML API ecosystem through a single point-and-click visual interface, reducing cost of ML adoption and making ML accessible as a competitive differentiation in media-driven organizations.

How Third-party Data Can Enable Better Business Insights

Join this virtual event with Stephen Orban, author of Ahead in the Cloud and General Manager of AWS Data Exchange. He will lead a panel discussion with AWS customers to discuss the innovative techniques being used in data pipelines, with data analysis, and for data visualization. You will hear about real-world initiatives and breakthroughs being enabled by third-party data.

Open Source Innovations to Be Unveiled at Subsurface LIVE Winter 2021 Cloud Data Lake Conference

Dremio, the innovation leader in data lake transformation, announces the speaker lineup and full agenda for Subsurface LIVE Winter 2021, a two-day, live conference about the future of the cloud data lake industry. The virtual event takes place January 27-28, 2021, and features keynotes from senior executives of AWS, Tableau and Dremio, as well as 30+ technical sessions on the open source innovations, trends and strategies driving cloud data lake transformation and architectures.

Kyligence CEO Identifies Top Big Data, Cloud, and Data Analytics Predictions for 2021

Kyligence, originator of Apache Kylin and developer of the AI-augmented analytics platform Kyligence Cloud, provides its cloud data analytics predictions for 2021, focusing on the rapid growth rate of cloud-native data warehouse and data storage services that will enable the massive acceleration of analytics adoption.

Cloud Optimization 2.0: Beyond Better Performance

In this contributed article, Ross Schibler, Co-founder and CEO of Opsani, introducs the concept of Optimization 2.0. Companies understand the importance of optimizing to increase efficiency/performance and decrease costs–but humans can only do so much. Optimization 2.0 requires humans to put some trust in machines, to work with ML and AI to capture all the possible combinations of potential solutions, and choose the right one at the right time, and automate the process of optimization.