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 74

Unstructured Data Data Lake Data Architecture Data 74

phData: Data Engineering

NOVEMBER 1, 2024

Monitor and Adapt: Continuously assess the impact of GenAI on data governance practices and be prepared to adapt policies as technologies evolve. Data governance is the only way to ensure those requirements are met. Chief Technology Officer, Finance Industry For all the quotes, download the Trendbook today!

Government 52

Government Data Governance Finance Metadata 52

Knowledge Hut

APRIL 20, 2023

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

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

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. . Data is one of the DoD’s most strategic assets.

Cloud 87

Cloud Government Cloud Computing Data Architecture 87

Striim

FEBRUARY 19, 2024

Central to unlocking the potential of these frameworks is Striim, a platform that facilitates real-time data integration, analytics, and event processing, providing businesses can fully leverage their data. Approach: Data Mesh decentralizes data management, giving individual domains or teams control and responsibility for their data.

Data Integration 52

Data Integration Data Government Data Governance 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. This system quickly became unmanageable as Roche sought to make more efficient use of its data resources.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 52

Knowledge Hut

MARCH 28, 2024

Data Engineer Career: Overview Currently, with the enormous growth in the volume, variety, and veracity of data generated and the will of large firms to store and analyze their data, data management is a critical aspect of data science. That’s where data engineers are on the go.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Ascend.io

SEPTEMBER 6, 2024

Here’s how predictive analytics can be effectively integrated into your data strategy: Integrating Predictive Analytics into Your Data Systems Infrastructure Readiness : Ensure your existing data architecture can support the computational demands of AI models.

Data Cleanse 52

Data Cleanse Data Workflow Data Pipeline Machine Learning 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

AltexSoft

MARCH 2, 2023

Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article. It’s crucial to differentiate between these terms as each plays a distinct role in ensuring the proper handling, use, and protection of data.

Data Governance 52

Data Governance Government Programming Healthcare 52

Cloudera

NOVEMBER 17, 2022

We needed a solution to manage our data at scale, to provide greater experiences to our customers. 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.

Banking 84

Banking Management Data Lake Professional Services 84

Knowledge Hut

NOVEMBER 17, 2023

The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor. Data engineers must know data management fundamentals, programming languages like Python and Java, cloud computing and have practical knowledge on data technology.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 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. The data architecture must guarantee data security and enforce access control measures.

Hadoop 52

Hadoop Project Datasets Big Data 52

Ascend.io

FEBRUARY 28, 2024

This impact of AI on data engineering is best understood through specific examples: Code and Query Generation AI’s ability to assist in creating and refining SQL queries and Python scripts for data engineering significantly streamlines the development of data processes and analyses.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Knowledge Hut

NOVEMBER 17, 2023

The demand for qualified experts who can make use of Azure's data capabilities, eventually promoting organizational efficiency, innovation, and informed decision-making through efficient data management and analytics, is what motivates employers to hire Azure Data Engineers. Why Do Companies Hire Azure Data Engineers?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Knowledge Hut

MARCH 26, 2024

Data Solutions Architect Role Overview: Design and implement data management, storage, and analytics solutions to meet business requirements and enable data-driven decision-making. Role Level: Mid to senior-level position requiring expertise in data architecture, database technologies, and analytics platforms.

Amazon Web Services 52

Amazon Web Services Google Cloud Computer Science AWS 52

Knowledge Hut

OCTOBER 3, 2023

First and foremost, the training institute needs to have a solid reputation for offering high-quality instruction in data engineering and cloud computing. Moreover, the institute must offer thorough instruction on all facets of Azure data engineering, including infrastructure, storage, data management, and analytics.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Silectis

JANUARY 3, 2021

Big Query Google’s cloud data warehouse. Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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’. It delivers the same data management capabilities across all of these disparate environments.

Cloud 67

Cloud Data Government Healthcare 67

U-Next

AUGUST 17, 2022

Data Engineer roles and responsibilities have certain important components, such as: Refining the software development process using industry standards. Identifying and fixing data security flaws to shield the company from intrusions. Employing data integration technologies to get data from a single domain.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

ProjectPro

JANUARY 19, 2022

The use of data has risen significantly in recent years. More people, organizations, corporations, and other entities use data daily. Earlier, people focused more on meaningful insights and analysis but realized that data management is just as important. They need to come up with ideas and put them into action.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Storage 52

Knowledge Hut

SEPTEMBER 22, 2023

The Azure Data Engineering Certificate is designed for data engineers and developers who wish to show that they are experts at creating and implementing data solutions using Microsoft Azure data services. To provide their customers with scalable solutions, businesses rely on the expertise and abilities of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

NOVEMBER 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. 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. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

ProjectPro

FEBRUARY 1, 2017

Veikkaus has developed a modern data architecture by pulling data from both digital and offline betting channels. iv) Companies building big data solutions on hadoop will focus on data governance and security menace as a frontier of their big data initiatives in 2017. The future of Hadoop is cloudy.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Cloudera

JULY 16, 2019

Many hybrid cloud challenges revolve around data. Solving the pain points of big data management is often an essential first step in creating a hybrid cloud strategy that works, and should be done in the context of the business. Modern data architectures must support hybrid cloud environments.

Cloud 41

Cloud Government Big Data Data Architecture 41

Towards Data Science

OCTOBER 25, 2024

The article was triggered by and riffs on the “Beware of silo specialisation” section of Bernd Wessely’s post Data Architecture: Lessons Learned. It brings together a few trends I am seeing plus my own opinions after twenty years experience working on both sides of the software / data team divide.

Software Engineer 48

Software Engineer Software Engineering Data Analytics Data Engineering 48

AltexSoft

AUGUST 29, 2023

If your organization fits into one of these categories and you’re considering implementing advanced data management and analytics solutions, keep reading to learn how data lakes work and how they can benefit your business. A data lakehouse may be an option if you want the best of both worlds. Data lake on AWS.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

These certifications serve as concrete evidence of a professional's mastery, encompassing skills such as precise querying, data manipulation, database creation, and various data-related tasks. Data Management 3. Data Management 2. Data Management 2. Information System Core 2.

Database 52

Database Certification MongoDB MySQL 52

ProjectPro

JUNE 9, 2021

is required to become a Data Science expert. Expert-level knowledge of programming, Big Data architecture, etc., is essential to becoming a Data Engineering professional. Data Engineer vs. Data Scientist A LinkedIn report in 2021 shows data science and data engineering are among the top 15 in-demand jobs.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

ProjectPro

JANUARY 31, 2022

Snowflake in Action at Western Union Snowflake's multi-cluster shared data architecture expanded instantaneously to serve Western Union's data, users, and workloads without causing resource conflict. Each node in the cluster keeps a piece of the entire data set locally, like shared-nothing systems.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

ProjectPro

FEBRUARY 21, 2023

Due to the enormous amount of data being generated and used in recent years, there is a high demand for data professionals, such as data engineers, who can perform tasks such as data management, data analysis, data preparation, etc. big data and ETL tools, etc.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

JULY 27, 2021

Data architects provide the organizational blueprint of data. Data engineers use the organizational data blueprint to collect, maintain and prepare the required data. Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

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 67

Process Designing Data Architecture Technology 67

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., Components of a Data Mesh.

Architecture 123

Architecture Metadata Kafka Government 123