Monte Carlo

MAY 14, 2024

It enhances performance specifically for large-scale data processing tasks, offering advanced optimizations for superior data compression and fast data scans, essential in data warehousing and analytics applications. And that matters — because these new table formats are also introducing complexity in other ways.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

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.

Datasets 57

Datasets Data Warehouse Big Data Cloud Storage 57

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

van der Aalst 2019 and as a product feature term by Celonis in 2022 and is used extensively in marketing, this concept is far from new in its implementation. The scalability and flexibility provided by data mesh architectures on the cloud are very beneficial for handling large datasets useful for all analytical applications.

Architecture 52

Architecture Database-centric Process BI 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

Cloudera

JUNE 16, 2022

CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report. Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. .

Kafka 86

Kafka Manufacturing Data Lake SQL 86

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.

Big Data 52

Big Data Coding Project Hadoop 52

ProjectPro

FEBRUARY 11, 2021

With that in mind, let’s take a look at the state of the machine-learning industry in 2022 and beyond. Machine learning engineer is a pretty hot job title right now, and one which is set to become even more popular beyond 2022. Train and re-train machine learning systems as and when required.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40