Cloudera

NOVEMBER 1, 2022

It’s no secret that IT modernization is a top priority for the US federal government. To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. .

Cloud 90

Cloud Government Storage Analytics 90

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 1, 2017

Vinithra Varadharajan , Philip Langdale , Jason Wang , and Fahd Siddiqui lead a deep dive into running data engineering workloads in a managed service capacity in the public cloud, highlighting cloud infrastructure best practices and illustrating how data engineering workloads interoperate with data analytic engines.

Big Data 40

Big Data Data Cloud Data Engineering 40

Altexsoft

SEPTEMBER 9, 2022

Metadata management is a part of the data governance process which, in turn, is an element of the overall data management strategy. Today, such modern data management frameworks as DataOps strongly rely on effective metadata capture and management to bring order into the chaotic data flows. data cataloging).

Tools 59

Tools Technical Review Software Review Systems Review 59

Cloudera

DECEMBER 10, 2020

CDW is built on top of CDP and has many cutting edge features to provide an excellent data warehousing user experience. For an overview of CDW’s architecture, see DW Built for the cloud. CDW architecture is elastic and simplifies capacity planning. You have a centralized data catalog and schema registry.

Data 98

Data Technical Review Storage Systems Review 98

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 88

Insurance Compliance Technical Review Banking 88

TIBCO - Connected Intelligence

OCTOBER 15, 2020

For instance: How will this new capability impact my client’s as-is and future architectures? Towards these trends, our clients have significantly invested in data-related technologies and talent over the past several years, including: Data governance to cater to enterprise-level financial reporting and regulatory compliance as an example.

Virtualization 50

Virtualization Data Energy Innovation 50

O'Reilly Media - Ideas

FEBRUARY 11, 2019

As companies ingest and use more data, there are many more users and consumers of that data within their organizations. Data lineage, data catalog, and data governance solutions can increase usage of data systems by enhancing trustworthiness of data. Data Platforms. Security and privacy.

Big Data 87

Big Data Technology Tools Cloud 87

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Government 76

Government Artificial Inteligence Enterprise Strategy 76

TIBCO - Connected Intelligence

JUNE 16, 2021

From strategy, architecture, and design to system integration, we work with clients to identify and realize opportunities to increase their return on investment, improve productivity, and enhance their relationships. Cost reduction : Reduce technology costs by effectively managing large volumes of customer data.

Data 29

Data Weak Development Team Virtualization Compliance 29

TIBCO - Connected Intelligence

APRIL 15, 2021

Compressing your data capture to analyze to get insight to decide to act cycle is key. Data related regulations continue to grow. Compliance with new regulations is not optional as governments respond to citizens’ privacy protections, data security, AI/ML bias, and other data-related threats.

Analytics 41

Analytics Development Team Review Technical Review Data 41

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 78

Data Compliance Architecture Data Engineering 78

Cloudera

AUGUST 30, 2022

Data is the fuel that drives government, enables transparency, and powers citizen services. Data quality issues deter trust and hinder accurate analytics. Disparate systems create issues with transparency and compliance. Modern data architectures. Towards Data Science ). Forrester ).

Architecture 80

Architecture Data Artificial Inteligence Artificial Intelligence 80

Altexsoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. Projections show that the data governance market will expand from $1.81

Government 52

Government Tools Data Weak Development Team 52

Cloudera

AUGUST 31, 2021

It outperforms other data warehouses on all sizes and types of data, including structured and unstructured, while scaling cost-effectively past petabytes. Running on CDW is fully integrated with streaming, data engineering, and machine learning analytics.

Data 85

Data Analytics Cloud Technical Review 85

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 103

Architecture Innovation Data Open Source 103

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

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. How Burst to Cloud can solve your data center pressure. A tale of two organizations.

Data Center 103

Data Center Cloud Data Policies 103

CIO

AUGUST 18, 2022

You can intuitively query the data from the data lake. Users coming from a data warehouse environment shouldn’t care where the data resides,” says Angelo Slawik, data engineer at Moonfare. At Paris-based BNP Paribas, scattered data silos were being used for BI by different teams at the giant bank.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Governing digital transformation. Governing for compliance.

Government 59

Government Compliance Machine Learning Artificial Inteligence 59

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 118

Trends Technical Review Technology Artificial Inteligence 118

TIBCO - Connected Intelligence

DECEMBER 7, 2021

While data-driven organizations have more information to work with than ever before, this also means dealing with more data sources, siloed data , complexity in data integration and data access, and growing data compliance mandates. Animal, Vegetable, or Architecture?

Architecture 49

Architecture Data Government Agile 49

Altexsoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Storage Machine Learning 52

Cloudera

JUNE 30, 2022

Today’s general availability announcement covers Iceberg running within key data services in the Cloudera Data Platform (CDP) — including Cloudera Data Warehousing ( CDW ), Cloudera Data Engineering ( CDE ), and Cloudera Machine Learning ( CML ). Why integrate Apache Iceberg with Cloudera Data Platform?

Data 89

Data Analytics Machine Learning Artificial Inteligence 89

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

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. Hybrid Data Cloud and Data Governance. This is a difficult tightrope to walk.

Telecommunications 97

Telecommunications Cloud Data Virtualization 97

ParkMyCloud

JANUARY 17, 2020

Display a basic understanding of core AWS services, uses, and basic AWS architecture best practices. Additionally, they must be able to implement and automate security controls, governance processes, and compliance validation. Design and maintain network architecture for all AWS services. Design and maintain Big Data.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

Altexsoft

NOVEMBER 9, 2021

You can request quotes from various vendors and then compare them side-by-side, as well as to related market prices, Federal Government established prices, historical prices, and so on. Compliance evaluation. Invoice and payment analytics to detect errors, compliance issues, and fraud. Tax compliance evaluation.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

BPM

JANUARY 18, 2019

Now we’re seeing AI dominating the conversations (without a lot of actual adoption in the early majority), and RPA creating a lot of buzz, though companies adopting it are starting to realize that scaling an RPA based automation architecture is flawed by design. This requires a new architecture capable of true scale and speed.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Altexsoft

JUNE 6, 2019

That’s a new district outside Beijing, which the government plans to turn into a special economic area. Data collected from the robot is processed in a cloud for planogram compliance. Visual search engines use artificial neural networks (ANN) – computing systems which architecture was inspired by the way human brains work.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Altexsoft

MARCH 16, 2021

In general, a data infrastructure is a system of hardware and software tools used to collect, store, transfer, prepare, analyze, and visualize data. Check our article on data engineering to get a detailed understanding of the data pipeline and its components. Big data infrastructure in a nutshell.

Big Data 116

Big Data Healthcare Applications Data 116

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 80

Cloud Data Government Innovation 80

Cloudera

DECEMBER 21, 2020

Instead, it is a move towards recognizing those companies that are driving innovation and agility by modernizing their data architecture and optimizing their infrastructure to leverage invaluable insights. This year’s winner, the West Midlands Police, stood out with its groundbreaking data strategy that did both of these things.

Data 97

Data Technical Review Cloud Enterprise 97

OpenCredo

MARCH 20, 2020

Security, because we work with sensitive data, client information and intellectual property. We cannot afford for this data to make its way into the wrong hands and must comply with compliance mandates. By making data security usable we also expect to make systems easier to manage, operate and understand. Challenges.

Cloud 40

Cloud Data Weak Development Team Compliance 40

Altexsoft

FEBRUARY 10, 2021

Similar to how DevOps once reshaped the software development landscape, another evolving methodology, DataOps, is currently changing Big Data analytics — and for the better. DataOps is a relatively new methodology that knits together data engineering, data analytics, and DevOps to deliver high-quality data products as fast as possible.

Analytics 75

Analytics DevOps Development Software Review 75

O'Reilly Media - Ideas

MARCH 18, 2020

Few organizations are using formal governance controls to support their AI efforts. One-sixth of respondents identify as data scientists, but executives—i.e., The survey does have a data-laden tilt, however: almost 30% of respondents identify as data scientists, data engineers, AIOps engineers, or as people who manage them.

Enterprise 134

Enterprise Survey Technical Review Weak Development Team 134

Cloudera

DECEMBER 7, 2017

That data may be stored multiple times in different pools, each multiplying storage resource costs. That data may be used in ways that don’t comply with appropriate security and governance policies. That data may be hard to discover for other users and other applications.

Data 40

Data Machine Learning Artificial Inteligence Analytics 40