Amazon Web Services AWS Data Governance Data Security 
Snowflake
DECEMBER 5, 2023
We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. Snowflake users can connect directly from Amazon SageMaker Canvas to generate accurate ML predictions without any code required.
Knowledge Hut
APRIL 20, 2023
Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.
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Precisely
MAY 13, 2024
A true enterprise-grade integration solution calls for source and target connectors that can accommodate: VSAM files COBOL copybooks open standards like JSON modern platforms like Amazon Web Services ( AWS ), Confluent , Databricks , or Snowflake Questions to ask each vendor: Which enterprise data sources and targets do you support?
Knowledge Hut
MARCH 26, 2024
This provides opportunities for diverse and challenging projects, even for entry-level AWS solutions architect jobs. Check out the AWS Solution Architect Associate certification cost before applying. In-depth knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge Hut
MARCH 28, 2024
Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance. Develop data models, data governance policies, and data integration strategies. GDPR, HIPAA), and industry standards.
AltexSoft
AUGUST 29, 2023
Real-time ingestion immediately brings data into the data lake as it is generated. Apache Kafka and AWS Kinesis are popular tools for handling real-time data ingestion. Video explaining how data streaming works. Here are some of the major players in the field, each offering robust data lake services.
Monte Carlo
APRIL 24, 2023
However, one of the biggest trends in data lake technologies, and a capability to evaluate carefully, is the addition of more structured metadata creating “lakehouse” architecture. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.
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