Rockset
AUGUST 2, 2023
For one, the company decided to invest in an API Insights Lab where customers and partners across suppliers, carriers, governments and insurance companies could use maritime data as part of their internal systems and workflows. Windward also used specialized databases like Elasticsearch for specific functionality like text search.
Knowledge Hut
MARCH 26, 2024
Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms. Evaluate and recommend data management tools, database technologies, and analytics platforms. Extensive experience in data architecture, database design, and data warehousing.
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Knowledge Hut
JUNE 4, 2024
Some of these are GDPR (General Data Protection Regulation), PCI DSS (Payment Card Industry Data Security Standards), HIPAA (Health Insurance Portability and Accountability Act), and so on. Transferring risk : Buy an insurance policy for assets or collaborate with a third party to transfer that risk.
Knowledge Hut
JANUARY 30, 2024
Data extraction is the vital process of retrieving raw data from diverse sources, such as databases, Excel spreadsheets, SaaS platforms, or web scraping efforts. Identifying customer segments based on purchase behavior in a sales database. What is data extraction? Patterns, trends, relationships, and knowledge discovered from the data.
Cloudera
AUGUST 31, 2021
Case Study: Accenture’s Experience on Legacy Data Warehouse Migration into Cloudera with a Health Insurance Company . Supports both Data Warehouse Experience & Data Warehouse with Data Hub Clusters on Cloudera Data Platform. Business Problem & Background.
ProjectPro
JUNE 1, 2015
Slowly but steadily the healthcare industry is becoming much more connected and more patient centric, due to Big Data in healthcare. Big Trends in Healthcare Industry 50 years back healthcare services were mostly physician centric. The databases and the RDBMS are creating these records. Some elements are already in practice.
ProjectPro
JULY 13, 2015
billion user accounts and 30,000 databases, JPMorgan Chase is definitely a name to reckon with in the financial sector. JPMorgan uses Hadoop to process massive amounts of data that includes information like emails, social mediaposts, phone calls and any other unstructured information that cannot be mined using conventional databases.
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