Eugene Yan

DECEMBER 8, 2016

How Lazada ranks products to improve customer experience and conversion at Strata 2016.

Hadoop 100

Hadoop 100

Alation

FEBRUARY 20, 2020

With the year coming to a close, many look back at the headlines that made major waves in technology and big data – from Spark to Hadoop to trends in data science – the list could go on and on. 2016 will be the year of the “logical data warehouse.” In 2016, these will increasingly be deployed to query multiple data sources.

Data Warehouse 52

Data Warehouse Hadoop Data Science Analytics 52

phData

NOVEMBER 8, 2024

Evolution of Open Table Formats Here’s a timeline that outlines the key moments in the evolution of open table formats: 2008 - Apache Hive and Hive Table Format Facebook introduced Apache Hive as one of the first table formats as part of its data warehousing infrastructure, built on top of Hadoop.

Data Lakes 52

Data Lakes Data Warehouse Database Azure 52

Smart Data Collective

NOVEMBER 29, 2019

Some of the changes include the following: Big data can be used to identify new link building opportunities through complicated Hadoop data-mining tools. In 2016, Inc. We have witnessed a number of ways that big data can influence the industry. Predictive analytics tools can be used to identify future changes in Google’s algorithms.

Big Data 67

Big Data Big Data Data Mining Data Mining 67

Alation

FEBRUARY 13, 2020

Zaidi’s vision for the value of machine learning data catalogs closely resembles the data cataloging vision presented by our Cofounder Aaron Kalb at Strata + Hadoop World 2016. What’s more, Zaidi and Gartner believe that this vision of a machine-learning-enabled data catalog creates real value for enterprises.

Machine Learning 52

Machine Learning Machine Learning Analytics Analytics 52