Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. With multiple speaking tracks focusing on technology, networks, and data & AI, industry leaders repeatedly highlighted the hybrid nature of their infrastructure. .

Cloud 77

Cloud Telecommunication Data Governance Government 77

Cloudera

NOVEMBER 1, 2022

In the private sector, excluding highly regulated industries like financial services, the migration to the public cloud was the answer to most IT modernization woes, especially those around data, analytics, and storage. It’s here where the private cloud delivers.

Cloud 84

Cloud Government Cloud Computing Data Architecture 84

Knowledge Hut

MARCH 28, 2024

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Knowledge Hut

MARCH 20, 2024

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering. As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

An Azure Data Engineer is a professional specializing in designing, implementing, and managing data solutions on the Microsoft Azure cloud platform. They possess expertise in various aspects of data engineering. As an Azure data engineer myself, I was responsible for managing data storage, processing, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

FEBRUARY 11, 2023

What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority. This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. This privacy law must be kept in mind when building data architecture.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Snowflake

DECEMBER 5, 2023

We had a jam-packed week alongside more than 60,000 attendees at Amazon Web Services (AWS) re:Invent, one of the largest hands-on conferences in the cloud computing industry. But without a governed data foundation, you can’t trust results or unlock all that’s possible with these breakaway technologies.

AWS 100

AWS Amazon Web Services Government Cloud Computing 100

Databand.ai

JULY 19, 2023

This capability is useful for businesses, as it provides a clear and comprehensive view of their data’s history and transformations. Data lineage tools are not a new concept. In this article: Why Are Data Lineage Tools Important? Atlan Atlan offers a modern approach to data governance.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52

Knowledge Hut

OCTOBER 30, 2023

Data Transformation and ETL: Handle more complex data transformation and ETL (Extract, Transform, Load) processes, including handling data from multiple sources and dealing with complex data structures. Ensure compliance with data protection regulations. Define data architecture standards and best practices.

BI 52

BI Business Intelligence Data Cleanse Business Analyst 52

Snowflake

JANUARY 19, 2023

To better understand how companies navigate new opportunities, Snowflake commissioned a survey of over 1,000 senior business and technology executives across 8 countries and 5 industries, and published How to Win in the Data Economy. Data leaders deliver. The same is true for data.

Data 108

Data Data Governance Data Architecture Government 108

Precisely

MARCH 14, 2023

First, private cloud infrastructure providers like Amazon (AWS), Microsoft (Azure), and Google (GCP) began by offering more cost-effective and elastic resources for fast access to infrastructure. Now, almost any company can build a solid, cost-effective data analytics or BI practice grounded in these new cloud platforms.

Data Integration 52

Data Integration High Quality Data BI Data 52

Striim

NOVEMBER 8, 2023

Data Mesh is revolutionizing event streaming architecture by enabling organizations to quickly and easily integrate real-time data, streaming analytics, and more. In this article, we will explore the advantages and limitations of data mesh, while also providing best practices for building and optimizing a data mesh with Striim.

Architecture 52

Architecture Generalist Government Datasets 52

Snowflake

AUGUST 21, 2023

Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use. Self-service data platforms: Consistent domain-agnostic access and security measures create a structure that is both clearly defined and repeatable across platforms/domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Cloudera

SEPTEMBER 15, 2022

A key area of focus for the symposium this year was the design and deployment of modern data platforms. Luke: Let’s talk about some of the fundamentals of modern data architecture. What is a data fabric? Ramsey International Modern Data Platform Architecture. What is a data mesh?

Data Lake 79

Data Lake Analytics Application Cloud Storage Architecture 79

Data Engineering Podcast

SEPTEMBER 23, 2018

Summary As your data needs scale across an organization the need for a carefully considered approach to collection, storage, organization, and access becomes increasingly critical. Request a demo at dataengineeringpodcast.com/metis-machine to learn more about how Metis Machine is operationalizing data science.

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Knowledge Hut

MARCH 26, 2024

Cloud Computing Adoption: As organizations migrate their infrastructure to the cloud, there's a high demand for Solutions Architects who can design cloud-native solutions and optimize cloud resources. Cloud solution architect jobs are highly available.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Monte Carlo

AUGUST 31, 2023

Data is a priority for your CEO, as it often is for digital-first companies, and she is fluent in the latest and greatest business intelligence tools. Your CTO is excited about migrating to the cloud, and constantly sends your team articles highlighting performance measurements against some of the latest technologies.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Cloudera

MAY 14, 2024

Hybrid cloud plays a central role in many of today’s emerging innovations—most notably artificial intelligence (AI) and other emerging technologies that create new business value and improve operational efficiencies. But getting there requires data, and a lot of it. Data comes in many forms.

Cloud 85

Cloud Data Governance Unstructured Data Data Architecture 85

Cloudera

AUGUST 21, 2020

One is data at rest, for example in a data lake, warehouse, or cloud storage and from there they can do analytics on this data and that is predominantly around what has already happened or around how to prevent something from happening in the future.

Banking 60

Banking Kafka Cloud Storage Government 60

AltexSoft

AUGUST 29, 2023

ELT choice: In data warehouses, Extract and Transform processes usually occur before data is loaded into the warehouse. Many organizations also deploy data marts , which are dedicated storage repositories for specific business lines or workgroups. Raw data store section.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 82

Data Architecture Architecture Management Banking 82

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

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

OCTOBER 1, 2022

According to Gartner, by 2023 65% of the world’s population will have their personal data covered under modern privacy regulations. . As a result, growing global compliance and regulations for data are top of mind for enterprises that conduct business worldwide. – From a recent episode of the TWIML AI Podcast.

Data Governance 72

Data Governance Government Machine Learning Data Science 72

Striim

FEBRUARY 12, 2024

Data as a Product: Elevates data to product status, meticulously maintained to meet consumer and business needs. Self-serve Data Infrastructure: Allows all members of the organization to access and use data easily, removing any technical obstacles. Try Striim Cloud for free for 14 days!

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

ProjectPro

FEBRUARY 1, 2017

Veikkaus has developed a modern data architecture by pulling data from both digital and offline betting channels. Source: [link] ) If you would like more information about Big Data Training, please click the orange "Request Info" button on top of this page. v) In 2017, we might think of big data as a data fabric.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

ProjectPro

FEBRUARY 21, 2023

Although challenging, a career in data engineering can be rewarding. Data engineers and their skills play a crucial role in the success of an organization by making it easier for data scientists , data analysts , and decision-makers to access the data they need to do their jobs.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure.

Cloud 99

Cloud Government Healthcare Metadata 99

Cloudera

JULY 29, 2022

As my colleague Wim Stoop previously shared, “A well-planned enterprise data strategy helps companies get the most of their data, making it known, discoverable, available, trusted, and compliant. Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. .

Data Architecture 84

Data Architecture Architecture Unstructured Data Government 84

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 84

Insurance Banking Data Architecture Data Ingestion 84

Monte Carlo

MAY 14, 2024

As organizations seek greater value from their data, data architectures are evolving to meet the demand — and table formats are no exception. But while the modern data stack , and how it’s structured, may be evolving, the need for reliable data is not — and that also has some real implications for your data platform.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

Cloudera

JUNE 14, 2021

How to optimize an enterprise data architecture with private cloud and multiple public cloud options? As the inexorable drive to cloud continues, telecommunications service providers (CSPs) around the world – often laggards in adopting disruptive technologies – are embracing virtualization.

Telecommunication 92

Telecommunication Cloud Finance Government 92

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 73

Telecommunication Data Architecture Government Architecture 73

Cloudera

MARCH 23, 2022

Apache Iceberg is a high-performance, open table format, born-in-the cloud that scales to petabytes independent of the underlying storage layer and the access engine layer. By being a truly open table format, Apache Iceberg fits well within the vision of the Cloudera Data Platform (CDP). 1: Multi-function analytics .

Metadata 88

Metadata Data Architecture BI Machine Learning 88

Knowledge Hut

JANUARY 18, 2024

As data analytics professionals navigate this rapidly evolving landscape, they must adapt and develop new skills to stay relevant. Fortunately, short term Data Science courses can help you take the first step into this field and work your way upwards.

Data Analytics 52

Data Analytics Healthcare Machine Learning Algorithm 52

Snowflake

DECEMBER 12, 2023

Iceberg Tables bring the easy management and great performance of Snowflake to data stored externally in an open source format. Snowflake Horizon Seamless data governance with a new user experience in Snowsight – general availability Users can effortlessly explore objects of interest and perform essential actions—all without SQL.

Metadata 89

Metadata Python AWS Government 89

Cloudera

MAY 9, 2023

The company also provides a variety of solutions for enterprises, including data centers, cloud, security, global, artificial intelligence (AI), IoT, and digital marketing services. Supporting Data Access to Achieve Data-Driven Innovation Due to the spread of COVID-19, demand for digital services has increased at SoftBank.

Data Security 87

Data Security Telecommunication Data Lake Data Governance 87

Snowflake

JANUARY 22, 2024

For the past few years, Fidelity Investments has been moving a significant percentage of its applications to a cloud-based infrastructure. Fidelity’s data scientists use the AI/ML-enabled Enterprise Analytics Platform to process a large volume of structured and unstructured data for deeper insights and better decision-making.

Engineering 62

Engineering Data Lake Unstructured Data Metadata 62