Remove 2000 Remove Business Intelligence Remove Data Lake Remove Data Warehouse
article thumbnail

Convergent Evolution

Peter James Thomas

That was the Science, here comes the Technology… A Brief Hydrology of Data Lakes. Overlapping with the above, from around 2012, I began to get involved in also designing and implementing Big Data Architectures; initially for narrow purposes and later Data Lakes spanning entire enterprises. In Closing.

article thumbnail

Moving Enterprise Data From Anywhere to Any System Made Easy

CIO Business Intelligence

In the modern data stack, there is a diverse set of destinations where data needs to be delivered. The newer “extract/load” tools seem to focus primarily on cloud data sources with schemas. This presents a unique set of challenges. and don’t necessarily have schemas.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Materialized Views in Hive for Iceberg Table Format

Cloudera

Apache Iceberg forms the core foundation for Cloudera’s Open Data Lakehouse with the Cloudera Data Platform (CDP). Materialized views are valuable for accelerating common classes of business intelligence (BI) queries that consist of joins, group-bys and aggregate functions. Starting from the CDW Public Cloud DWX-1.6.1

article thumbnail

Wonderla Holidays goes digital to enhance business and customer fun

CIO Business Intelligence

The company, listed on both the National Stock Exchange and the Bombay Stock Exchange, operates three amusement parks in Kochi, Bengaluru, and Hyderabad that were set up in 2000, 2005, and 2016, respectively, and plans to open two more amusement parks in the near future, in Chennai and Bhubaneswar. One pulse sends 150 bytes of data.

article thumbnail

What is a Data Pipeline?

Jet Global

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

article thumbnail

What is Data Mapping?

Jet Global

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.

article thumbnail

Remodel Your Oracle Cloud Data with a Data Lakehouse

Jet Global

To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. To address this, the data lakehouse was born.