Rockset

FEBRUARY 24, 2023

Introduction Let’s get this out of the way at the beginning: understanding effective streaming data architectures is hard, and understanding how to make use of streaming data for analytics is really hard. Streaming data has been around for decades. Today, streaming data is everywhere. Kafka or Kinesis ?

Kafka 52

Kafka AWS Amazon Web Services Programming Language 52

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. What are the main components of a big data architecture?

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

JANUARY 31, 2023

It also performs better when dealing with large amounts of data since it can quickly scale up and down according to your needs. Finally, NoSQL databases are frequently used in real-time analytics applications, such as streaming data from IoT sensors. Explain the role of AWS Glue in Big Data Architecture.

Big Data 52

Big Data Hadoop AWS Relational Database 52