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 75

Telecommunication Data Architecture Government Architecture 75

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

Towards Data Science

DECEMBER 15, 2023

So, you set up data systems and start filling up those tables or topics. After a few years go by you can end up with huge volumes of data. Maybe you need to scale up to a cloud storage provider like Snowflake or AWS to keep up and make all this data accessible at the pace you need. You’re using the data, of course!

Machine Learning 93

Machine Learning Data Science Data Security Data Storage 93

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. Engaging with partners and customers — and showcasing what’s new on the Snowflake product front — made for a dynamic time in Las Vegas.

AWS 102

AWS Amazon Web Services Government Cloud Computing 102

Knowledge Hut

MARCH 22, 2024

Did you know that Amazon Web Services (AWS) has a 33% market share in cloud computing? According to the 2020 Workplace Learning Report by LinkedIn, cloud computing ranked as the second-most crucial hard skill demanded by employers. We bridge technical and business aspects and offer guidance on cloud strategies.

AWS 52

AWS Amazon Web Services Cloud Computing Google Cloud 52

Monte Carlo

JANUARY 24, 2024

Today’s data engineering teams have multiple options when it comes to designing data governance strategies that best suit their respective businesses. Here are four data governance trends to watch. Organizations are fast finding that cloud-based data access requires an equally nimble approach to data governance.

Data Governance 52

Data Governance Government Data Lake Data Architecture 52

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Cloudera

SEPTEMBER 12, 2022

What previously was nicely defined and structured data in a few fully owned and controlled places, like a data center, is now churning torrents of data of all shapes and sizes spread across edge and cloud environments. And second, for the data that is used, 80% is semi- or unstructured. Unified data fabric.

Unstructured Data 74

Unstructured Data Data Lake Data Architecture Data 74

Cloudera

JULY 16, 2019

A combination of on-premises, public, and private cloud platforms and data centers describes the reality for today’s businesses. For some, this hybrid mix was born of rigorous planning or even a “cloud-first” mandate. Understanding the Challenges of Hybrid Cloud. Solving Hybrid Cloud Pain Points.

Cloud 41

Cloud Government Big Data Data Architecture 41

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

NOVEMBER 17, 2023

Additionally, they convert data into formats that can be used and store it effectively and securely in the Azure cloud. The data engineers are responsible for creating conversational chatbots with the Azure Bot Service and automating metric calculations using the Azure Metrics Advisor.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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. In 2020, Fidelity kicked off its digital transformation and established an Enterprise Data Lake (EDL) along with Data Labs.

Engineering 64

Engineering Data Lake Unstructured Data Metadata 64

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

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Components of a Data Mesh. How CDF enables successful Data Mesh Architectures.

Architecture 124

Architecture Metadata Government Kafka 124

Databand.ai

AUGUST 30, 2023

A DataOps architecture is the structural foundation that supports the implementation of DataOps principles within an organization. It encompasses the systems, tools, and processes that enable businesses to manage their data more efficiently and effectively. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 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. 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

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

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

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. See other customers’ success here .

Banking 84

Banking Management Data Lake Professional Services 84

Cloudera

FEBRUARY 14, 2022

When we introduced Cloudera Data Engineering (CDE) in the Public Cloud in 2020 it was a culmination of many years of working alongside companies as they deployed Apache Spark based ETL workloads at scale. The same key tenants powering DE in the public clouds are now available in the data center.

Data Engineering 112

Data Engineering Data Engineer Engineering Data Pipeline 112

Knowledge Hut

OCTOBER 3, 2023

Recommended Training and Certification When you are searching for the training institute for DP-203 Data Engineering on Microsoft Azure keep a few things in mind. First and foremost, the training institute needs to have a solid reputation for offering high-quality instruction in data engineering and cloud computing.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Knowledge Hut

NOVEMBER 28, 2023

This increased the data generation and the need for proper data storage requirements. A data architect is concerned with designing, creating, deploying, and managing a business entity's data architecture. x Arcitura Certified Big Data Architect 3.

Data Architect 52

Data Architect Data Science Certification Big Data 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. The vision provides a clear understanding of what the organization aims to achieve through its data governance efforts. The DAMA DMBOK wheel.

Data Governance 52

Data Governance Government Healthcare Programming 52

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

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. CDP Public Cloud eliminates the need for using those tools by providing the following capabilities: . Technology cost reduction / avoidance.

Data Warehouse 79

Data Warehouse Data Governance Government Cloud 79

Knowledge Hut

NOVEMBER 17, 2023

Data Architecture and Design: These experts excel in creating effective data structures that meet scalability requirements, ensure optimal data storage, processing, and retrieval, and correspond with business demands. Comprehend industry-specific compliance standards like GDPR, HIPAA, or PCI DSS relevant to your projects.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 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? Microsoft learning platform: Azure data engineering training is officially documented by Microsoft.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

NOVEMBER 18, 2020

In fact, each of the 29 finalists represented organizations running cutting-edge use cases that showcase a winning enterprise data cloud strategy. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Enterprise Data Cloud.

Medical 121

Medical Banking Telecommunication Government 121

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

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

AltexSoft

MAY 12, 2023

Unstructured data storage solutions must ensure data durability (protection against data loss) and availability (ensuring data is accessible when needed). That’s why there must be some sort of data replication, backup strategies, and failover mechanisms. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

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 Metadata 56

ProjectPro

JANUARY 19, 2022

Data infrastructure, data warehousing, data mining, data modeling, etc., are part of a company's data science program, and data engineers handle most of these tasks. Microsoft Azure is a modern cloud platform that offers businesses a wide range of services. What does an Azure Data Engineer Do?

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

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 66

Process Designing Data Architecture Government 66

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

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 61

Banking Kafka Cloud Storage Government 61