Last Updated: 12/5/2023
Top BIG DATA Insights
1. Large Models Meet Big Data: Spark and LLMs in Harmony – 12/05/23
2. Big-data discovery and privacy startup Mine raises $30M in Series B funding – 12/05/23
3. Sensor fabric, big data could help end pressure injuries for wheelchair users – 12/05/23
4. BST Global to Host AEC Industry–First AI Summit in April 2024 – 12/05/23
5. Top YouTube Channels for Learning Big Data in 2024 – 12/05/23
1. Impact 2023 | November 8, 2023
2. AI World Barcelona | November 15, 2023
3. Data Science Salon NYC | December 1, 2023
4. Conference on Neural Information Processing Systems (NeurIPS) | December 10 – 16, 2023
5. Data Science Salon Seattle | January 24, 2024
Top BIG DATA Resources
1. Databricks is a unified data platform that helps companies build and run data lakes and data warehouses. It provides a single platform for data processing, analytics, and machine learning. Databricks offers a number of features that make it a powerful platform for big data processing, including Scalability: Databricks can scale to handle any size of data set, from terabytes to petabytes. Performance: Databricks is highly performant, thanks to its use of Apache Spark and its cloud-native architecture.
2. ThoughtSpot is a search and AI-powered analytics platform that helps businesses discover insights from their data. It allows users to ask questions about their data in plain English and receive instant answers. ThoughtSpot also provides a variety of features to help users explore and analyze their data, such as drill-down, filtering, and sorting. Companies use ThoughtSpot to power a variety of applications, such as real-time analytics, customer segmentation, and operational reporting.
3. Snowflake is a cloud-based data warehouse that enables businesses to analyze data at scale. It is known for its performance, scalability, and ease of use. Snowflake offers a number of features that make it a powerful platform for big data processing, including Performance: Snowflake is highly performant, thanks to its use of a proprietary architecture that separates storage and compute. Scalability: Snowflake can scale to handle any size of data set, from terabytes to petabytes.
4. TIBCO is a software company that provides data integration, analytics, and messaging solutions. TIBCO’s products and services help companies to connect their data from different sources, analyze it to gain insights, and share it with others. Here is an example of how TIBCO’s products and services can be used for big data processing Data integration: TIBCO’s data integration products help companies to connect their data from different sources, such as on-premises databases, cloud-based databases, and IoT devices.
5. PrestoDB is an open-source distributed SQL query engine for big data. It is designed to be fast and scalable, and it can be used to query data from a variety of sources, including Hive, Cassandra, Amazon S3, and relational databases. Here is an example of how PrestoDB can be used for big data processing Interactive analytics: PrestoDB can be used to perform interactive analytics on large data sets. This can be used to generate reports, explore data, and debug data pipelines.
6. Matillion is a cloud-based data integration and transformation platform that helps businesses to connect their data from different sources, transform it to meet their needs, and load it into their cloud data warehouse. Matillion is designed to be easy to use, and it can be used by both technical and non-technical users. Matillion can be used to connect data from different sources, such as on-premises databases, cloud-based databases, and IoT devices. Matillion can also be used to extract data from files and APIs.