Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Cloudera

AUGUST 24, 2020

The most relevant use cases are those that use or integrate data, including publicly available data, and you combine that with your internal data. Another example might be that you have burst workloads that require very high compute and storage capability only once a month.

Cloud 81

Cloud Data Government Innovation 81

Altexsoft

NOVEMBER 9, 2021

Consider applying this approach if you work in a less stable environment, e.g., automotive market, fashion, or food products. Meanwhile, we’ll describe the process of turning raw data around you into actionable insights. But before we dive in, consider reading about data engineering to get an idea of the main concepts and stages.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

Coforge

AUGUST 20, 2019

In the digital communities that we live in, storage is virtually free and our garrulous species is generating and storing data like never before. Outsourcing: Some of the work related to data engineering and DevOps/SRE may be outsourced to concentrate resources towards achieving the business goals. #2

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Altexsoft

SEPTEMBER 20, 2019

Analyzing business information to facilitate data-driven decision making is what we call business intelligence or BI. In plain language, BI is a set of tools and methods to extract raw data from its source, transform it, load into a unified storage, and present to the user. Architecture of your database/data warehouse.

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. Storage costs. using list pricing of $0.72/hour hour using a r5d.4xlarge

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 82

Data Analytics Government Technical Review 82

O'Reilly Media - Ideas

JANUARY 25, 2022

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” Of the more established NoSQL databases, MongoDB shows 10% growth.

Trends 109

Trends Technical Review Technology Artificial Inteligence 109