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. All these security capabilities deliver two important benefits to product strategies: .

Strategy 100

Strategy Data Technical Review Weak Development Team 100

Cloudera

FEBRUARY 28, 2024

Before you begin The following tutorial assumes that you are familiar with SRM concepts like replications and replication flows, replication policies, the basic service architecture of SRM, as well as prefixless replication. The SRM service on srm-target is used to pull Kafka data from the other two clusters.

Testing 72

Testing Tools Big Data Data 72

Netflix Tech

NOVEMBER 20, 2023

For example, a job would reprocess aggregates for the past 3 days because it assumes that there would be late arriving data, but data prior to 3 days isn’t worth the cost of reprocessing. Backfill: Backfilling datasets is a common operation in big data processing. append, overwrite, etc.).

Windows 87

Windows Software Review Data Engineering 87

Cloudera

AUGUST 24, 2020

Today we are continuing our discussion with Martin Mannion , EMEA Big Data Community lead at Deloitte and Paul Mackay, the EMEA Cloud Lead at Cloudera to look at why security and governance requirements must be tackled in the early stages of data-led use case development, thereby mitigating more work later on.

Cloud 82

Cloud Data Government Innovation 82

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

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.

Artificial Inteligence 8

Artificial Inteligence Machine Learning Enterprise Software Review 8

Altexsoft

NOVEMBER 9, 2021

Traditional statistical methods use mainly internal, historical data to predict trends within relatively stable markets. Meanwhile, machine learning (ML) techniques are capable of processing a wide range of both historical and current data from multiple external and internal sources. Custom solution.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

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. Databricks lakehouse platform architecture.

Weak Development Team 64

Weak Development Team Artificial Inteligence Machine Learning Software Review 64

O'Reilly Media - Ideas

JANUARY 25, 2022

What are the bigger changes shaping the future of software development and software architecture? Software development is a mega category on the O’Reilly learning platform. It includes almost everything, from programming languages to cloud to architecture and more. This report is about those transitions. Software Development.

Trends 107

Trends Technical Review Technology Artificial Inteligence 107

O'Reilly Media - Ideas

JANUARY 25, 2021

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). In either case, there’s a difference between “trends” and “trendy.”

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Supporting multiple data formats and types to enable enrichment of data assets for different use cases and finally. query failures, cost overruns).

Data 83

Data Analytics Government Technical Review 83

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. Machine Learning Prototypes. Not available. Not available.

Cloud 86

Cloud Technical Review Storage Backup 86