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Meeting the Demand: Containerizing Master Data Management in the Cloud

In this contributed article, editorial consultant Jelani Harper suggests that perhaps no other single entity has done more to spur cloud adoption rates than Salesforce has. By democratizing Customer Resource Management (CRM) with this architecture, the ubiquitous CRM vendor considerably popularized the movement of shifting data, applications, and attendant tools like Master Data Management (MDM) offsite.

Interview: Bernie Wu, Head of Business Development, MetalSoft

I recently caught up with Bernie Wu, Head of Business Development at MetalSoft, to address core industry trends like the evolution within companies where integrated technologies from Big Data to AI are driving entirely new ways for how businesses operate and how these leaps impacting their infrastructures and workload and where he sees the next generation of computing heading.

Google Cloud Announces BigQuery Omni for Multi-cloud Analytics

A recent Gartner research survey on cloud adoption revealed that more than 80% of respondents using the public cloud were using more than one Cloud Service Provider (CSP)1. To address this multi-cloud reality, Google Cloud has announced BigQuery Omni, a multi-cloud analytics solution that enables customers to bring the power of BigQuery to data stored in Google Cloud, Amazon Web Services (AWS) and Azure (coming soon).

Video Highlights: Delivering the Enterprise Data Cloud

In the video presentation below from the O’Reilly Strata Data Conference, Arun Murthy, co-founder of Hortonworks and current CPO of Cloudera, discusses how enterprises can extract and act on big data.

Smoothing the Complexities of a Cloud-First Reality

In this contributed article, editorial consultant Jelani Harper discusses common issues for scaling business throughout the cloud. Organizations are encountering similar, recurring issues in the cloud that frequently span hybrid and multi-cloud undertakings. If not properly addressed they could potentially negate the boons of this progressive architecture; if so, they can increase them almost exponentially.

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.

Microsoft Announcements on Azure Artificial Intelligence

In this contributed article, Arindam Ray Chaudhuri, COO at AgreeYa, shares the new and exciting Azure AI developments. With the effective utilization of Azure Machine Learning, Azure Databricks and ONNX, organizations can build, train and deploy their machine learning models efficiently and seamlessly.

Report Reveals Business-Critical Cloud Adoption for Analytics and AI on the Rise, Yet Challenges Remain

Trifacta, a leader in data preparation and data wrangling, released its “Obstacles to AI & Analytics Adoption in the Cloud” report, which reveals inefficiencies that are hindering analytics and artificial intelligence (AI) adoption in the cloud. The research, which surveyed 646 data professionals across different industries and titles, examines how organizations are handling the increased move of data to the cloud, the obstacles facing data cleaning and analytics and the time constraints endured when preparing data for analytics, AI and machine learning (ML) initiatives.

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.

Big Data & Cloud Computing: The Roles & Relationships

In this contributed article, Gaurav Sharma, Director Of Operations at Chetu Inc., discusses how it’s important to note that both Big Data and Cloud Computing play a huge role in our digital society. The two linked together allow people with great ideas but limited resources a chance at business success. They also allow established businesses to utilize data that they collect but previously had no way of analyzing.