Data Science Blog

MARCH 14, 2023

Big Data tauchte als Buzzword meiner Recherche nach erstmals um das Jahr 2011 relevant in den Medien auf. Big Data wurde zum Business-Sprech der darauffolgenden Jahre. In der Parallelwelt der ITler wurde das Tool und Ökosystem Apache Hadoop quasi mit Big Data beinahe synonym gesetzt.

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Big Data Big Data Apache Hadoop Data Science 147

Data Science Blog

JUNE 27, 2023

Big Data Analytics stands apart from conventional data processing in its fundamental nature. In the realm of Big Data, there are two prominent architectural concepts that perplex companies embarking on the construction or restructuring of their Big Data platform: Lambda architecture or Kappa architecture.

Big Data 130

Big Data Big Data Apache Kafka Database 130

Smart Data Collective

APRIL 2, 2019

Analytics Magazine notes that data lakes are among the most useful tools that an enterprise may have at its disposal when aiming to compete with competitors via innovation. There were a lot of promises made about Big Data that fell at the feet of data scientists to make happen. The Thrust for Data Lake Creation.

Data Lakes 106

Data Lakes Big Data Big Data Data Scientist 106

AWS Machine Learning Blog

APRIL 19, 2023

It’s easy to learn Flink if you have ever worked with a database or SQL-like system by remaining ANSI-SQL 2011 compliant. Apart from SQL, we can build Java and Scala applications in Amazon Kinesis Data Analytics using open-source libraries based on Apache Flink.

ML 96

ML ML Apache Kafka SQL 96

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

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Big Data Analytics Big Data Analytics Big Data Big Data 137

Pickl AI

MARCH 13, 2025

Kafka excels in real-time data streaming and scalability. Choose Kafka for big data, analytics, and event-driven applications. It allows applications to send, receive, and process data continuously, making it ideal for industries that rely on instant data updates.

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Apache Kafka Big Data Big Data Data Pipeline 52