G2 Crowd Software

DECEMBER 5, 2017

Scalability. Data Manipulation. million read requests per month from DynamoDB Streams and store 25 GB of data. Most of the paid offerings are scalable depending on application usage. Scalability. Data Manipulation. Scalability. Data Manipulation. Feature Rating. Microsoft SQL. PostgreSQL.

Open Source 61

Open Source Software Review Software Technical Review 61

Apiumhub

JANUARY 30, 2019

Niche fashion sites are a huge opportunity. Lately, people started to understand the importance of quality software and scalability became one of the top priorities for ecommerce managers. Big Data analytics. With millions of customers buying products online, there is an infinite amount of data that generates every day.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Cloudera

SEPTEMBER 9, 2021

Cloudera Machine Learning or Cloudera Data Warehouse), to deliver fast data and analytics to downstream components. The major capabilities that improve day-to-days tasks of a platform / database administrator include the following: . capacity projections, environment sizing and tuning). .

Storage 96

Storage Azure Technical Review Database Administration 96

Cloudera

SEPTEMBER 15, 2022

Apache Ozone is a distributed, scalable, and high-performance object store , available with Cloudera Data Platform (CDP), that can scale to billions of objects of varying sizes. Healthcare, where big data is used for improving profitability, conducting genomic research, improving patient experience, and to save lives.

Storage 87

Storage System Artificial Inteligence Big Data 87

Cloudera

AUGUST 20, 2021

First, they enable sharing of sensitive data across multiple user groups and large number of end users in a secure fashion via a programmatic, API-driven mechanism, thus accelerating client on-boarding and data product revenue realization. Processing Scalability: As we’ve previously demonstrated (e.g.,

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Cloudera

APRIL 22, 2021

Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Businesses are also looking to move to a scale-out storage model that provides dense storages along with reliability, scalability, and performance. Lower lab footprint.

Data 101

Data Storage Architecture Big Data 101

Sunflower Lab

OCTOBER 2, 2023

Microsoft Azure’s Synapse Analytics is an integrated platform solution that brings together the capability of data warehousing, data connectors, ETL pipelines, analytics tools, and services, as well as the scale for big data, visualization, and dashboards.

Azure 40

Azure Analytics UI/UX Software Review 40

Netflix Tech

NOVEMBER 20, 2023

Whether in analyzing A/B tests, optimizing studio production, training algorithms, investing in content acquisition, detecting security breaches, or optimizing payments, well structured and accurate data is foundational. Backfill: Backfilling datasets is a common operation in big data processing. append, overwrite, etc.).

Windows 84

Windows Software Review Data Engineering 84

ProtectWise

JANUARY 11, 2017

The cloud is the key to enabling this, with benefits like elasticity, availability, scalability and ease of deployment. Starting in 2017, security companies will leveraging these technologies in their solutions to create the best, most intuitive user experience possible when dealing with exponential and ever growing amounts of big data.

VR 61

VR Big Data Fashion Enterprise 61

Actian

JANUARY 14, 2020

But when you start looking at the details of implementation, migration performance and scalability, the differences become apparent. “We’re moving our data warehouse to the cloud to save money.” How much of these benefits you will gain depends on which cloud data warehouse you select and how you implement it.

Cloud 40

Cloud Data Hardware Resources 40

Xicom

AUGUST 13, 2019

Xicom was founded in 2002 and since then it has worked with numerous enterprises and provided them highly customized, scalable and integrated solutions and digitally transformed their businesses. This company is also a major player in the beauty, fashion and gift sectors in this region.

Company 11

Company Development Team Review Real Estate Technical Review 11

Cloudera

JULY 9, 2018

Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. Below we deconstruct three data science iron triangle dilemmas.

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

Actian

JANUARY 24, 2020

For this final installment, I realized that the argument for migrating off flat files probably needs to be done in a more prescriptive fashion. Handle Big Data at the Edge. Just as Hadoop was a first step at the Enterprise level to address the need for a common reservoir for Big Data, there needs to be an equivalent at the Edge.

Software Development 40

Software Development Software Development Off-The-Shelf 40

Confluent

FEBRUARY 13, 2019

Systems built as Reactive Systems are more flexible, loosely-coupled and scalable. It is very simple but presents scalability challenges. In the event-driven world, we’d build a scalable model where the event streams flow between processors. This makes them easier to develop and amenable to change.

Architecture 90

Architecture Programming Microservices Serverless 90

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. And, with exponentially increasing computing power and newer chip architectures, Machine Learning (ML) has emerged as a powerful technique for building models over Big Data to predict outcomes.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

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. Multi-level data security Databricks was designed with security in mind.

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. data streaming, data engineering, data warehousing etc.),

Cloud 86

Cloud Technical Review Storage Backup 86

Cloudera

FEBRUARY 22, 2021

For future acquisitions, the two different CDP form factors ( CDP Private Cloud and CDP Public Cloud ) will serve as the single landing zone for all big data workloads of the acquired entity, accelerating IT integration activities and ensuring technology standardization and rationalization between our client and the acquired entity.

Data 82

Data Analytics Government Technical Review 82

Altexsoft

JULY 8, 2021

Built in a traditional statistical fashion, the accuracy of outcomes predictive tools provide isn’t always high. For companies to be good with predictions, propensity models have to be dynamic, scalable, and adaptive. The use of Big Data predictive analytics contributed to the Obama reelection win.

Artificial Inteligence 78

Artificial Inteligence Machine Learning How To Airlines 78