Change data capture: An increasingly critical mechanism for organizations
Change data capture helps you make faster and more accurate decisions with real-time data movement.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
What Is E-Commerce Integration & Is It Important?
Wondering what e-commerce integration is? Here are five things to know: What is e-commerce integration? It's the next step in creating visibility and efficiency in today's highly connected world. E-commerce businesses that are just starting to explore the likes of e-commerce integration stand to gain a major competitive advantage if they follow the established best practices.
Redefining File Services from Edge to Core to Cloud
The idea of running compute and storing data in the cloud is no longer a novel concept. With the evolution of 5G and Internet of Things (IoT), this brings along the next evolution of edge storage demands. Today, around 10% of enterprise-generated data is created and processed outside a traditional centralized data center or cloud. By 2025, Gartner predicts this figure will reach 75%.
Forrester: How App Modernization is Speeding Cloud Deployment
Hitachi Vantara recently commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study to examine the value that customers could achieve using cloud and application modernization services from Hitachi Vantara. To better understand the benefits, costs, and risks associated with this investment, Forrester interviewed four decision-makers at companies with experience using cloud and app modernization services from Hitachi Vantara.
Better Business Reporting With Certent Disclosure Management
Reporting is more important than ever. Long gone are the days of filling out excel sheets at year end and filing them away into oblivion, never to be seen again. The reports you file now, are not only more transparent than ever, but they have much more impact in the future and trends of your business than ever before.
Disclosure Management and Equity Management: Why You Need Both
Growing companies rely on equity-based compensation to attract and retain top talent. They must also comply with stringent regulations regarding financial reporting and disclosures. It’s common practice in many startups–and even in some more mature public firms–to make do with manual processes and low-cost solutions for managing disclosures and cap tables. As a company grows, however, the complexity surrounding these processes increases.
MLRun Tutorial: How to build machine learning projects & deploy them to production with MLRun
Watch this MLRun tutorial with CTO and Co-Founder, Yaron Haviv to see a step by step tutorial of MLRun and how it's used to bring models to production.
Optimizing Hive on Tez Performance
Tuning Hive on Tez queries can never be done in a one-size-fits-all approach. The performance on queries depends on the size of the data, file types, query design, and query patterns. During performance testing, evaluate and validate configuration parameters and any SQL modifications.
AT&T Connects the World in the Data Cloud
To be one of the most connected companies in the world, AT&T chose the Snowflake Data Cloud for their digital transformation and data democratization. With Snowflake, AT&T has a single source of truth of their data across the organization and through Snowflake data collaboration, AT&T's business partners can seamlessly access AT&T's data to improve their customer experience.
Using Snowflake and Dask for Large-Scale ML Workloads
Many organizations are turning to Snowflake to store their enterprise data, as the company has expanded its ecosystem of data science and machine learning initiatives. Snowflake offers many connectors and drivers for various frameworks to get data out of their cloud warehouse. For machine learning workloads, the most attractive of these options is the Snowflake Connector for Python.