Cloudera

FEBRUARY 1, 2024

Day 0 — Design and Preparation: Focuses on designing and preparing for your installation, including gathering requirements, planning architecture, allocating resources, setting up network and security, and documentation creation. Network setup: configure the network infrastructure to ensure connectivity and data flow.

Backup 81

Backup Cloud Architecture Resources 81

Cloudera

JULY 27, 2021

While billing used to be one of two critical things for any successful telco (the other being the network), today’s digital service providers prioritise channels, ecosystems, payments and cloud service architectures in enterprise architecture. Edge analytics by definition require in-network deployment.

Telecommunications 60

Telecommunications Data Architecture Big Data 60

AWS Machine Learning - AI

JANUARY 26, 2024

Understanding and addressing LLM vulnerabilities, threats, and risks during the design and architecture phases helps teams focus on maximizing the economic and productivity benefits generative AI can bring. Many customers are looking for guidance on how to manage security, privacy, and compliance as they develop generative AI applications.

Artificial Inteligence 120

Artificial Inteligence Generative AI Security Applications 120

Mobilunity

MAY 8, 2023

It is designed to store vast amounts of data from a variety of sources. Moreover an Enterprise Data Lake makes it accessible to data scientists, analysts, and other users across the enterprise. Ingestion zone is where data is collected from various sources and ingested into the data lake.

Engineering 52

Engineering Data Storage AWS 52

O'Reilly Media - Data

APRIL 3, 2018

This year’s sessions on Data Engineering and Architecture showcases streaming and real-time applications, along with the data platforms used at several leading companies. This year, we have keynotes and sessions on important topics in public policy, health care, manufacturing, and many other sectors of the economy.

Machine Learning 157

Machine Learning Artificial Inteligence Company Case Study 157

CIO

MARCH 27, 2024

“Le azioni successive per il miglioramento della data quality possono essere sia di processo che applicative e includono la definizione di un modello organizzativo intorno alla data governance , assegnando ruoli e compiti chiari alle varie figure coinvolte (data scientist, data engineering, data owner, data steward, eccetera)”.

ChatGPT 130

ChatGPT Government Artificial Inteligence Business Intelligence 130

Lacework

NOVEMBER 1, 2023

This article addresses privacy in the context of hosting data and considers how privacy by design can be incorporated into the data architecture. In many cases we see that customers prefer to have their data stored and managed locally in their home region, both for reasons of regulatory compliance and also business preference.

System Design 52

System Design Systems Review System Data 52

Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. A Cloudera Data Engineering service exists. The Data Scientist. The Data Engineer.

Data 97

Data Virtualization Banking Data Engineering 97

Netflix Tech

MARCH 4, 2024

For unclassified errors, the job may be retried multiple times with the default retry policy. Evolving to Auto Remediation: ML Service Overview The ML service, i.e., Nightingale, aims to generate a retry policy for a failed job that trades off between retry success probability and job running costs.

Machine Learning 84

Machine Learning Artificial Inteligence Data Systems Review 84

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. Automatic creation of capacity plans and replication policies. A tale of two organizations.

Data Center 101

Data Center Cloud Data Policies 101

Erik Bernhardsson

DECEMBER 15, 2020

I had my first job as a software engineer in 1999, and in the last two decades I've seen software engineering changing in ways that have made us orders of magnitude more productive. The counterpoint is that with increased decentralization, engineers will increasingly develop subject-matter experience.

Software Engineering 304

Software Engineering Engineering Tools Software 304

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a set of activities, technologies, and policies that target metadata collection, storage, and organizing. It aims at making data assets understandable and discoverable for users. Plus, a data fabric architecture design approach is also based on metadata as one of the main building blocks.

Tools 59

Tools Technical Review Software Review Systems Review 59

Kentik

APRIL 3, 2018

Networking teams no longer need to be limited by unresponsive tools, aggregated stats, and data deadends. Comprehensive detection – Kentik’s policy-based alerting engine continuously evaluates incoming network data to detect anomalies and trigger notifications or automatic actions.

Network 40

Network WAN LAN Policies 40

Kentik

AUGUST 29, 2016

Kentik CEO Avi Freedman gave an overview of our company and of our post-Hadoop Big Data engine, which ingests billions of NetFlow, sFlow, IPFIX, BGP, and SNMP data records, offers ad-hoc analyses, alerting, dashboarding, and provides open API integration. Very impressive.” - Brandon Mangold (@SDNgeek).

Analytics 40

Analytics Banking Data Engineering Policies 40

Coforge

AUGUST 31, 2020

A deep understanding of the legacy and potentially viable digital systems is crucial to establish a sustainable architecture to work upon. Now, the power of data analytics along with smart automation can aid faster risk assessment and claim settlements.

Insurance 40

Insurance Technology Artificial Inteligence Policies 40

Netflix Tech

MARCH 5, 2019

While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure. Give us a holler if you are interested in a thought exchange.

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Modern data architectures. To eliminate or integrate these silos, the public sector needs to adopt robust data management solutions that support modern data architectures (MDAs). Towards Data Science ).

Architecture 75

Architecture Data Artificial Inteligence Artificial Intelligence 75

Altexsoft

JULY 19, 2022

In the last few decades, we’ve seen a lot of architectural approaches to building data pipelines , changing one another and promising better and easier ways of deriving insights from information. There have been relational databases, data warehouses, data lakes, and even a combination of the latter two. What data mesh IS.

Architecture 52

Architecture Data Analytics Data Engineering 52

O'Reilly Media - Ideas

FEBRUARY 18, 2020

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Trends in software architecture, infrastructure, and operations.

Technical Review 138

Technical Review Microservices Data Engineering Architecture 138

OpenCredo

MARCH 14, 2018

For example you could choose different storage and retention policies for commands and events or decide to drop commands altogether. Commands on the other hand serve a more operational purpose, such as auditing and troubleshooting. As such, they tend to be managed differently, despite the apparent similarity of form. Conclusion.

System 45

System Architecture Examples Storage 45

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data 73

Data Compliance Architecture Data Engineering 73

Existek

SEPTEMBER 28, 2023

Therefore, it’s required to obtain good skills in data science. Model selection and design: AI developers choose appropriate machine learning algorithms and neural network architectures based on the problem at hand. Besides, their responsibilities include considering such factors as data type, volume, complexity, etc.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

Cloudera

SEPTEMBER 10, 2021

CDP-PC provides the same fine-grained access control as on-prem for data warehouse querying (Hive or Apache Impala ), search index lookups ( Apache Solr ), and applications built upon operational database tables ( Apache HBase ). Customer 1 – Centralized data authorization management. RAZ for S3 gives them that capability.

Storage 79

Storage Cloud Azure Pharmaceuticals 79

Altexsoft

AUGUST 22, 2022

What’s more, Gartner identifies data fabric implementation as one of the top strategic technology trends for 2022 and expects that by 2024, data fabric deployments will increase the efficiency of data use while halving human-driven data management tasks. What is data fabric? Data fabric architecture example.

Architecture 52

Architecture Artificial Inteligence Technical Review Data 52

O'Reilly Media - Ideas

JANUARY 25, 2024

While we like to talk about how fast technology moves, internet time, and all that, in reality the last major new idea in software architecture was microservices, which dates to roughly 2015. Who wants to learn about design patterns or software architecture when some AI application may eventually do your high-level design?

Trends 115

Trends Technical Review Technology Artificial Inteligence 115

Cloudera

MARCH 23, 2022

In fact, we recently announced the integration with our cloud ecosystem bringing the benefits of Iceberg to enterprises as they make their journey to the public cloud, and as they adopt more converged architectures like the Lakehouse. Iceberg is designed to be open and engine agnostic allowing datasets to be shared.

Data 88

Data Open Source Storage Machine Learning 88

Strategy Driven

AUGUST 27, 2015

Whatever method your organization chooses, it will place a significant strain on your – probably already overwhelmed – central IT department, because they will need to construct a complimentary architecture with these two very different platforms.

Big Data 33

Big Data Data Storage Journal 33

Apiumhub

APRIL 1, 2021

It will show you how to treat data as a business asset that requires careful investment if you’re to gain real value. Designing data-intensive applications by Martin Kleppmann. This book helps understand the architecture of today’s data systems and how they can be fit into applications that are data-driven and data-intensive.

Artificial Inteligence 52

Artificial Inteligence Data Handbook Machine Learning 52

Altexsoft

JANUARY 14, 2021

We’ll review all the important aspects of their architecture, deployment, and performance so you can make an informed decision. Before jumping into the comparison of available products right away, it will be a good idea to get acquainted with the data warehousing basics first. Data warehouse architecture.

Backup 115

Backup Azure Software Review Systems Review 115

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? Within five years of launching, almost every mobile operator in the world had moved to a hybrid network architecture. SDX is a fundamental and integral part of Cloudera Data Platform architecture.

Telecommunications 91

Telecommunications Cloud Data Virtualization 91

Altexsoft

MARCH 2, 2023

Whether you’re just getting started with data governance or looking to refine your existing program, this article will provide you with valuable insights and practical tips to help you manage your data more effectively. What is data governance? Data governance models with pros and cons.

Government 52

Government Tools Data Weak Development Team 52

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Design and maintain network architecture for all AWS services. AWS Certified Big Data – Speciality. For individuals who perform complex Big Data analyses and have at least two years of experience using AWS.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Kentik

FEBRUARY 7, 2023

But what are network operators to do when their cloud networks have to be distributed, both architecturally and geographically? Suddenly, this dense data mass is a considerable burden, and the same forces that happily drew in service and customer data find that that data is now trapped and extremely expensive and complicated to move.

Network 59

Network Cloud Data Data Center 59

Cloudera

DECEMBER 14, 2020

One trend that we’ve seen this year, is that enterprises are leveraging streaming data as a way to traverse through unplanned disruptions, as a way to make the best business decisions for their stakeholders. . Today, a new modern data platform is here to transform how businesses take advantage of real-time analytics.

Analytics 68

Analytics Big Data Government Cloud 68

Altexsoft

JUNE 26, 2023

Both data integration and ingestion require building data pipelines — series of automated operations to move data from one system to another. For this task, you need a dedicated specialist — a data engineer or ETL developer. Data engineering explained in 14 minutes. No wonder only 0.5

Machine Learning 52

Machine Learning Artificial Inteligence Data Systems Review 52

Cloudera

OCTOBER 25, 2022

“They combine the best of both worlds: flexibility, cost effectiveness of data lakes and performance, and reliability of data warehouses.”. It allows users to rapidly ingest data and run self-service analytics and machine learning. Firewalls should be the only components in your cloud infrastructure with public IP addresses.

Cloud 52

Cloud Data Firewall AWS 52