Rockset
APRIL 15, 2022
BEP provided simple monitoring and instant triggers for SOA-based systems management and early algorithmic stock trading. Companies also started appending additional related time-stamped data to existing datasets, a process called data enrichment. Both CDC and data enrichment boosted the accuracy and reach of their analytics.
Knowledge Hut
JUNE 26, 2023
Moreover, this project concept should highlight the fact that there are many interesting datasets already available on services like GCP and AWS. Hundreds of datasets are available from these two cloud services, so you may practise your analytical skills without having to scrape data from an API.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Rockset
JANUARY 30, 2024
The memory optimized instance class is ideal for queries that process large datasets or have a large working set size due to the mix of queries. It uses a decay algorithm , allowing for historical analysis with emphasis on recent measurements when making autoscaling decisions.
Striim
AUGUST 31, 2023
The goal of kappa architecture is to reduce the cost of data integration by providing an efficient and real-time way of managing large datasets. Additionally, it allows for efficient processing of both real-time and historical data which eliminates the need for multiple versions of the same dataset or manually managed systems.
Precisely
MARCH 10, 2023
Whether your aim is to understand your target customers, the physical infrastructure of an area, traffic flows, or even weather patterns, accurate location is an essential first step toward linking meaningful datasets. Without standardization, it is virtually impossible to join datasets and analyze information in its full context.
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.
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. Kicking off a big data analytics project is always the most challenging part.
Expert insights. Personalized for you.
52 
Let's personalize your content