Data Science Dojo

JULY 24, 2023

Different algorithms and techniques are employed to achieve eventual consistency. Spark provides a high-level API in multiple languages like Scala, Python, Java, and SQL, making it accessible to a wide range of developers. They use redundancy and replication to ensure data availability.

Big Data 195

Big Data Big Data Data Engineering Data Engineer 195

AWS Machine Learning Blog

APRIL 19, 2023

We use Amazon SageMaker to train a model using the built-in XGBoost algorithm on aggregated features created from historical transactions. In our use case, we show how using SQL for aggregations can enable a data scientist to provide the same code for both batch and streaming. The application is written using Apache Flink SQL.

ML 98

ML ML Apache Kafka SQL 98

IBM Journey to AI blog

NOVEMBER 29, 2023

Furthermore, AI algorithms’ capacity for recognizing patterns—by learning from your company’s unique historical data—can empower businesses to predict new trends and spot anomalies sooner and with low latency. Non-symbolic AI can be useful for transforming unstructured data into organized, meaningful information.

Artificial Intelligence 105

Artificial Intelligence Artificial Intelligence Apache Kafka AI 105

AWS Machine Learning Blog

OCTOBER 9, 2024

Using Amazon CloudWatch for anomaly detection Amazon CloudWatch supports creating anomaly detectors on specific Amazon CloudWatch Log Groups by applying statistical and ML algorithms to CloudWatch metrics. Anomaly detection alarms can be created based on a metric’s expected value. About the Author Nirmal Kumar is Sr.

AWS 94

AWS ML ML Data Quality 94

Pickl AI

DECEMBER 4, 2024

The field has evolved significantly from traditional statistical analysis to include sophisticated Machine Learning algorithms and Big Data technologies. Issues such as algorithmic bias, data privacy, and transparency are becoming critical topics of discussion within the industry.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

DECEMBER 9, 2024

What is Apache Hive? Hive is a data warehouse tool built on Hadoop that enables SQL-like querying to analyse large datasets. What are the Key Features of Apache Hive? Hive provides SQL-like querying, schema-on-read functionality, and compatibility with Hadoop for large-scale Data Analysis. How Did You Manage Them?

Big Data 52

Big Data Big Data Hadoop Apache Kafka 52

Pickl AI

OCTOBER 21, 2024

It manipulates data using SQL (Structured Query Language). It offers high performance and supports SQL queries, making it a modern solution for large-scale applications. Using Kafka, Twitter can effectively handle high-throughput data streams, enabling users to receive timely notifications and updates.

Database 52

Database Apache Kafka Machine Learning Machine Learning 52