Cloudera

MAY 2, 2022

On top of that, sector-specific rules — in areas like healthcare and finance — are layering an incremental burden on businesses to make sure their data assets and processes are compliant. . There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure.

Cloud 104

Cloud Government Healthcare Metadata 104

Towards Data Science

DECEMBER 4, 2023

Anyways, I wasn’t paying enough attention during university classes, and today I’ll walk you through data layers using —  guess what  —  an example. Business Scenario & Data Architecture Imagine this: next year, a new team on the grid, Red Thunder Racing, will call us (yes, me and you) to set up their new data infrastructure.

Data Engineering 98

Data Engineering Data Engineer Engineering Data Lake 98

Databand.ai

AUGUST 30, 2023

DataOps Architecture: 5 Key Components and How to Get Started Ryan Yackel August 30, 2023 What Is DataOps Architecture? DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Towards Data Science

DECEMBER 15, 2023

Data that isn’t interpretable generates little value if any, because you can’t effectively learn from data you don’t understand. How are you going to strategically plan for the future of your data systems? You probably need to attend to data architecture to try and keep costs from skyrocketing, but what about data retention?

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

SEPTEMBER 12, 2022

Combining and analyzing both structured and unstructured data is a whole new challenge to come to grips with, let alone doing so across different infrastructures. Both obstacles can be overcome using modern data architectures, specifically data fabric and data lakehouse. Unified data fabric.

Unstructured Data 75

Unstructured Data Data Lake Data Architecture Data 75

Snowflake

DECEMBER 5, 2023

This lets them leverage the familiar development interface of a notebook while directing complex data preparation and feature engineering steps to run in Snowflake (rather than having to copy and manage copies of data inside their notebook instance).

AWS 123

AWS Amazon Web Services Government Machine Learning 123

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 Lake Data Warehouse Metadata 52

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.

Telecommunication 76

Telecommunication Data Architecture Government Architecture 76

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.

Telecommunication 97

Telecommunication Cloud Finance Government 97

ProjectPro

JANUARY 31, 2022

This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Cloudera

NOVEMBER 1, 2022

Translation: Government agencies — especially those under the Department of Defense (DoD) — have use cases that require data storage and analytic workloads to be maintained on premises to retain absolute control of data security, privacy, and cost predictability. . It’s here where the private cloud delivers.

Cloud 89

Cloud Government Cloud Computing Data Architecture 89

Cloudera

JANUARY 26, 2022

Modern, real-time businesses require accelerated cycles of innovation that are expensive and difficult to maintain with legacy data platforms. The hybrid cloud’s premise—two data architectures fused together—gives companies options to leverage those solutions and to address decision-making criteria, on a case-by-case basis. .

Cloud 87

Cloud Cloud Computing Hadoop Data Warehouse 87

Cloudera

NOVEMBER 17, 2022

With Cloudera Data Platform, we aim to unlock value faster and offer consistent data security and governance to meet this goal. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited. Future-proof data capabilities. See other customers’ success here .

Banking 85

Banking Management Data Lake Professional Services 85

phData: Data Engineering

FEBRUARY 21, 2025

Further, choosing the right CSP subscription model can help an organization meet its SLAs and data availability requirements. Security For most organizations, security is a top priority when establishing a data architecture. Organizations want to ensure that their data is secure both at rest and in-transit.

Cloud 52

Cloud Data Warehouse Amazon Web Services Data Ingestion 52

Cloudera

JUNE 6, 2024

While these are great proof points to demonstrate how business value can be driven by AI/ML, this was only made possible with trusted data. Trusted Data is the Foundation of AI According to a Cloudera survey, Data Architecture and Strategy in the AI Era , 57% of APAC organizations are at least early-stage adopters of AI.

Banking 83

Banking Data Lake Finance Data Governance 83

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Security & Governance.

Medical 123

Medical Banking Telecommunication Government 123

Cloudera

APRIL 13, 2021

Its existing data architecture, however, wasn’t up for the gig. As the data ingestion rate of current business grew to multiple tens of gigabytes per day, the company saw the economic and functional limits of what could be done. The company turned to CDP to streamline migration of critical data workloads to the public cloud.

Cloud 78

Cloud Pharmaceutical Data Warehouse Medical 78

AltexSoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

FEBRUARY 14, 2022

Data Engineering should not be limited by one cloud vendor or data locality. Business needs are continuously evolving, requiring data architectures and platforms that are flexible, hybrid, and multi-cloud. . The old ways of the past with cloud vendor lock-ins on compute and storage are over.

Data Engineering 113

Data Engineering Data Engineer Engineering Data Pipeline 113

Precisely

JANUARY 27, 2023

The challenge is that many business leaders still struggle to turn their data into tangible improvements in CX. According to Corinium , only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX.

High Quality Data 104

High Quality Data Data Governance Government Banking 104

Snowflake

AUGUST 21, 2023

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. How, then, are modern data teams finding success with the data mesh? Still, implementing this new architecture was not without its challenges.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Cloudera

MAY 22, 2019

The program recognizes organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI.

Pharmaceutical 56

Pharmaceutical Recruitment Machine Learning Data Architecture 56

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. Cloudera Control Plane replaces infrastructure monitoring tools used to monitor clusters deployed on-premises and on different clouds from a single pane of glass.

Data Warehouse 82

Data Warehouse Data Governance Government Cloud 82

Cloudera

NOVEMBER 30, 2020

And then there are the added implications such heavy fines have for data security. As well as compliance within everyday operations, data breaches take on a whole new level of risk. . Corporations are obligated to ensure personal data is exposed in the right way to the right people.

Process 68

Process Designing Data Architecture Technology 68

Ascend.io

MAY 7, 2024

to bring its cutting-edge automation platform that revolutionizes modern data engineering. This partnership establishes a data efficiency center of excellence focused on AI & Automation tooling alongside best practices to ensure organizations maximize their data ROI. “Our collaboration with Ascend.io

Pipeline-centric 52

Pipeline-centric Data Cleanse Data Security Data Pipeline 52

Cloudera

SEPTEMBER 15, 2020

The main reason for this change is that this title better represents the move that our customers are making; away from acknowledging the ability to have data ‘anywhere’. Providing a single and consistent security and governance — In the world we find ourselves living in, it’s simply not acceptable to not know who has access to your data.

Cloud 67

Cloud Data Government Healthcare 67

RandomTrees

SEPTEMBER 27, 2024

Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

Database-centric 52

Database-centric Pipeline-centric IT BI 52

Knowledge Hut

OCTOBER 30, 2023

Develop a long-term vision for Power BI implementation and data analytics. Data Architecture and Design: Lead the design and development of complex data architectures, including data warehouses, data lakes, and data marts. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Knowledge Hut

DECEMBER 28, 2023

Hadoop can store data and run applications on cost-effective hardware clusters. Its data architecture is flexible, relevant, and schema-free. To learn more about this topic, explore our Big Data and Hadoop course. Diverse Data Processing: Hadoop supports various data types and complex analysis challenges.

Hadoop 52

Hadoop Project Big Data Datasets 52

Knowledge Hut

APRIL 20, 2023

The following are some of the key reasons why data governance is important: Ensuring data accuracy and consistency: Data governance helps to ensure that data is accurate, consistent, and trustworthy. This helps organisations make informed decisions based on reliable data.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

ProjectPro

FEBRUARY 1, 2017

Veikkaus has developed a modern data architecture by pulling data from both digital and offline betting channels. Primary hadoop vendors are getting serious about security but the major concern with big data security management is the lack of standardization.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Knowledge Hut

MARCH 22, 2024

An Amazon Web Services (AWS) Solution Architect designs and deploys scalable, reliable, and secure applications on AWS. Through collaboration, we provide cloud-based solutions based on AWS services like EC2, S3, and RDS and perform architecture design, performance optimization, and cost efficiency analysis.

AWS 52

AWS Amazon Web Services Cloud Computing Computer Science 52

Mutt Data

SEPTEMBER 11, 2023

Mutt Data Is Climbing The Ranks of The Big Data Risk Management Industry Navigating big data risk assessment management is complex. Handling massive datasets demands advanced analytics expertise, AI integration, and data security assurance. Identifying subtle patterns and emerging risks requires skill.

Amazon Web Services 40

Amazon Web Services Google Cloud Big Data Consulting 40

Mutt Data

SEPTEMBER 11, 2023

Mutt Data Is Climbing The Ranks of The Big Data Risk Management Industry Navigating big data risk assessment management is complex. Handling massive datasets demands advanced analytics expertise, AI integration, and data security assurance. Identifying subtle patterns and emerging risks requires skill.

Amazon Web Services 40

Amazon Web Services Google Cloud Big Data Consulting 40

Knowledge Hut

MARCH 28, 2024

They work together with stakeholders to get business requirements and develop scalable and efficient data architectures. Role Level Advanced Responsibilities Design and architect data solutions on Azure, considering factors like scalability, reliability, security, and performance.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Monte Carlo

JANUARY 24, 2024

As data input channels and tech stacks become more complex and prolific, this manual approach to data governance just isn’t scalable. Plus, a growing number of companies are leveraging cloud-based, distributed data architectures like data mesh.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52