Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

Telecommunication 75

Telecommunication Data Governance Government Portfolio 75

Knowledge Hut

APRIL 20, 2023

Data governance refers to the set of policies, procedures, mix of people and standards that organisations put in place to manage their data assets. It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

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

The Modern Data Company

FEBRUARY 26, 2024

Data, the lifeblood of its operations, was becoming increasingly complex and unwieldy. With each new product launch and market expansion, the data architecture that once supported its growth now threatened to be its Achilles’ heel. Evolutionary architecture embodies this principle.

Architecture 52

Architecture Data Architecture Data Technology 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

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

Government 98

Government Data Governance Data Pipeline Big Data 98

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Cloud 77

Cloud Telecommunication Data Governance Government 77

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

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. GDPR, HIPAA), and industry standards.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

DECEMBER 1, 2023

Governments must ensure that the data used for training AI models is of high quality, accurately representing the diverse range of scenarios and demographics it seeks to address. It is vital to establish stringent data governance practices to maintain data integrity, privacy, and compliance with regulatory requirements.

Building 104

Building Government Transportation Data Governance 104

Data Engineering Weekly

MARCH 3, 2024

Part 2: Rippling's security data lakehouse and modular design DoorDash: Introducing DoorDash’s In-House Search Engine DoorDash writes about its in-house search engine to address scalability and efficiency issues identified with Elasticsearch's previous search architecture.

Data Engineering 67

Data Engineering Data Engineer Pipeline-centric Engineering 67

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

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

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. Federated computational governance: Whether manual or automated, global data governance and security measures ensure protection and compliance throughout domains.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

DataKitchen

DECEMBER 13, 2021

Gartner – Top Trends and Data & Analytics for 2021: XOps. What is a Data Mesh? DataOps Data Architecture. DataOps is Not Just a DAG for Data. Data Observability and Monitoring with DataOps. DataOps is NOT Just DevOps for Data. Data Governance as Code. Top 10 Blog Posts.

Data Governance 98

Data Governance Data Architecture Government Data Engineering 98

Data Engineering Podcast

SEPTEMBER 23, 2018

Can you walk through the stages of an ideal lifecycle for data within the context of an organizations uses for it? What are some of the common mistakes that are made when designing a data architecture and how do they lead to failure?

Data Lake 100

Data Lake Data Warehouse Data Architecture Architecture 100

Cloudera

SEPTEMBER 24, 2021

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. Data governance was completely balkanized, if it existed at all.

Data Architect 90

Data Architect Government NoSQL Big Data 90

Knowledge Hut

MARCH 20, 2024

Data governance specialist: As a mid-level Azure data engineer, you ensure that data within the organization is managed, stored, and used in compliance with regulatory requirements and internal policies. This includes implementing data governance frameworks and overseeing data access controls.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Cloudera

NOVEMBER 1, 2022

Through modern data architectures powered by CDP, including Cloudera-enabled data fabric, data lakehouse, and data mesh , DoD agencies can rapidly provision and manage innovative data engineering, data warehouse, and machine learning environments, with access to secured supply chain data stored in CDP Private Cloud.

Cloud 83

Cloud Government Cloud Computing Data Architecture 83

Knowledge Hut

MARCH 15, 2024

Data governance specialist: As a mid-level Azure data engineer, you ensure that data within the organization is managed, stored, and used in compliance with regulatory requirements and internal policies. This includes implementing data governance frameworks and overseeing data access controls.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Snowflake

JANUARY 19, 2023

Vikrant Bhan, Group Head Analytics, Data and Integration, Nestlé Yuta Hishinuma , CTO, Chura Data Inc. Zachery Anderson , Chief Data and Analytics Officer, NatWest Group As Thomas Edison said, “The value of an idea lies in the use of it.” The same is true for data.

Data 108

Data Data Governance Data Architecture Government 108

Cloudera

SEPTEMBER 15, 2022

Modern data platforms deliver an elastic, flexible, and cost-effective environment for analytic applications by leveraging a hybrid, multi-cloud architecture to support data fabric, data mesh, data lakehouse and, most recently, data observability. Luke: What is a modern data platform?

Data Lake 78

Data Lake Analytics Application Cloud Storage Architecture 78

Precisely

JANUARY 27, 2023

Data plays a central role here. Powerful customer engagement hinges on high levels of data integrity, effective data governance programs, and a clear vision of how CX can be a differentiator. The challenge is that many business leaders still struggle to turn their data into tangible improvements in CX.

High Quality Data 105

High Quality Data Data Governance Government Banking 105

Knowledge Hut

MARCH 26, 2024

Solutions Architect Careers: Overview Here's an overview of the demand and benefits of a career in Solutions Architecture: A. Cybersecurity Concerns: With the rise in cyber threats, organizations are prioritizing security in their IT architectures. Proficiency in relevant technologies, frameworks, and architectural patterns.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 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 81

Data Architecture Architecture Management Banking 81

Precisely

MARCH 14, 2023

If you happen to be a user of these products, you already know about the results that high-quality data produces: more and happier customers, lower costs and higher efficiency, and compliance with complex regulations – to name just a few. Simply design data pipelines, point them to the cloud environment, and execute.

Data Integration 52

Data Integration High Quality Data BI Data 52

Cloudera

SEPTEMBER 19, 2023

CDO inspires the data team To succeed, leaders need to inspire their teams to be passionate, productive, and willing to work with other stakeholders toward common goals. Leaderless and uninspired data teams are likely to feel misunderstood and such organization-wide efforts as data governance can be hard to implement.

IT 74

IT Data Governance Data Architecture Government 74

Striim

FEBRUARY 12, 2024

Self-serve Data Infrastructure: Allows all members of the organization to access and use data easily, removing any technical obstacles. Federated Computational Governance: Applies data governance where data is stored, balancing standards with domain-specific needs. Try Striim Cloud for free for 14 days!

Data Architecture 52

Data Architecture Architecture Data Data Lake 52

Cloudera

DECEMBER 1, 2022

Full-stack observability is a critical requirement for effective modern data platforms to deliver the agile, flexible, and cost-effective environment organizations are looking for. RI is a global leader in the design and deployment of large-scale, production-level modern data platforms for the world’s largest enterprises.

Data Lake 80

Data Lake Data Pipeline Data Governance Analytics Application 80

Cloudera

SEPTEMBER 6, 2022

Data has continued to grow both in scale and in importance through this period, and today telecommunications companies are increasingly seeing data architecture as an independent organizational challenge, not merely an item on an IT checklist. Why telco should consider modern data architecture. The challenges.

Telecommunication 82

Telecommunication Data Architecture Architecture Government 82

Precisely

JANUARY 22, 2024

The challenge is that many businesses struggle to turn their data into usable assets for CX applications. According to Corinium, only 37% of organizations have a well-developed enterprise data architecture that enables high-quality, data-driven, and personalized CX. It’s not that companies lack data about customers.

Data Integration 59

Data Integration High Quality Data Machine Learning Data Governance 59

Monte Carlo

AUGUST 31, 2023

As a result, companies are increasingly treating their data like code, applying frameworks and paradigms long-standard among software engineering teams to their data organizations and architectures. For instance, in the late 2010s, Uber changed all data analysts’ titles to data scientists after an organizational restructure.

Data Lake 52

Data Lake Data Pipeline Unstructured Data Data Warehouse 52

Monte Carlo

JULY 27, 2023

The most common use case data quality engineers support are: Analytical dashboards : Mentioned in 56% of job postings Machine learning or data science teams : Mentioned in 34% of postings Gen AI : Mentioned in one job posting (but really emphatically). Assist in developing and maintaining data governance policies and standards.

Engineering 52

Engineering Healthcare Scala Data Warehouse 52

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 102

AWS Amazon Web Services Government Cloud Computing 102

Knowledge Hut

JUNE 23, 2023

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

DataKitchen

JUNE 12, 2023

We continue to over-invest, as an industry, in the tools that run within our data estate. There are dozens of orchestrators, ETL Tools, databases, data science tools, data visualization tools, and data governance tools. Data tools will continue to evolve, and as-built systems will continue to run.

ETL Tools 52

ETL Tools Data Science Data Lake Hadoop 52