Remove insights data-architecture on-premises-vs-cloud
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Real-time data processing: Databricks vs Flink

Perficient

Real-time data processing is a critical need for modern-day businesses. It involves processing data as soon as it is generated to derive insights and take immediate actions. Comparison Databricks is an integrated platform for data engineering, machine learning, data science and analytics built on top of Apache Spark.

Data 83
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Architect defense-in-depth security for generative AI applications using the OWASP Top 10 for LLMs

AWS Machine Learning - AI

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

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Use Cases and Successes for Perficient’s Healthy Lakehouse Solution

Perficient

In blog 2 of our data lakehouse blog series , we discussed how Perficient’s Healthy Lakehouse solution accelerates time and cost to value, and can help crack the code to success in delivering solutions. They wanted to become an operationally integrated, data-driven organization and realized they needed help getting there.

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Stairway to Heaven with Cloud-Based Analytics Solutions

Datavail

Make sure that your enterprise data is being stored securely and is easily accessible for day-to-day use. The Case for a Cloud-Based Analytics Solution. Insights are constrained to a flat, static report that fails to capture your data’s true richness and variation. On-Premises vs. Cloud Analytics.

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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data is now one of the most valuable assets for any kind of business. The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What is a data architect?

Data 87
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Apache Ozone – A High Performance Object Store for CDP Private Cloud

Cloudera

As organizations wrangle with the explosive growth in data volume they are presented with today, efficiency and scalability of storage become pivotal to operating a successful data platform for driving business insight and value. Moreover, Ozone seamlessly integrates with Apache data analytics tools like Hive, Spark and Impala.

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Data Lake Explained: A Comprehensive Guide to Its Architecture and Use Cases

Altexsoft

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?