Databand.ai

JULY 19, 2023

Data Discovery The purpose of data discovery is to find, understand, and access data from numerous sources. It is the exploratory phase where you identify what data is available, where it is coming from, and how it can be used to benefit your organization. How can we access it? Where is it stored?

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Cloudera

JUNE 22, 2023

The top-line benefits of a hybrid data platform include: Cost efficiency. A hybrid data platform enables the preservation of existing investments in legacy applications and workloads without modifying them. It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud.

Data Cleanse 65

Data Cleanse Data Governance Unstructured Data Cloud Storage 65

Cloudera

NOVEMBER 10, 2021

One such major change for CDH users is the replacement of Sentry with Ranger for authorization and access control. . For big data platforms like Cloudera’s stack that are used by multiple business units with many users, upgrading even minor versions must be a well-planned activity to reduce the impact to users and business.

Hadoop 74

Hadoop SQL Database Kafka 74

Knowledge Hut

DECEMBER 28, 2023

Today, organizations seek skilled professionals who can harness data’s power to drive informed decisions. As technology evolves, cloud platforms have emerged as the cornerstone of modern data management. Its comprehensive suite of services can handle data at scale. Who is an Azure Data Engineer?

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JUNE 20, 2023

In this blog post, we will introduce you to 10 current database research topic ideas that are likely to be at the forefront of the field in 2023. From blockchain-based database systems to real-time data processing with in-memory databases, these topics offer a glimpse into the exciting future of database research.

Database 52

Database Java Education Data Collection 52

Cloudera

JULY 29, 2021

Securely protecting healthcare data is critical for your organization’s success, whether data is ingested, streamed and stored in a data platform that runs in the public, private or hybrid cloud. Security and governance in a hybrid environment. Public, private, hybrid or on-premise data management platform.

Healthcare 100

Healthcare Unstructured Data Government Machine Learning 100

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 84

Cloud Government Cloud Computing Data Architecture 84

Cloudera

JANUARY 26, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 72

Metadata Data Governance Government Management 72

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. Let’s discuss and compare them to avoid misconceptions.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

SEPTEMBER 21, 2023

." It is a technology that replaces local drivers with remote servers on the internet for the storage, management, and access of data online. Data might be in the form of files, photos, papers, audio files, video files, and more. Cloud computing propels businesses forward.

Cloud Computing 52

Cloud Computing Cloud AWS Accessible 52

Cloudera

SEPTEMBER 23, 2021

Streaming data from edge devices enables real-time insight and autonomous decision-making, which can revolutionize industries. But driving data into the enterprise from the edge requires fast and effective data management. That’s where a real-time, scalable and reliable data management system comes into play.

Data 80

Data Cloud Data Collection Designing 80

Cloudera

OCTOBER 28, 2020

Given the complexity and variety of traditional and newer sources of data, financial services providers are reinventing their data management and analytics strategy—transitioning to a multi-function, open platform that is optimized for the massive scale and security of the data that the industry demands.

Unstructured Data 70

Unstructured Data Banking Machine Learning Media 70

Cloudera

MARCH 4, 2024

In this article, we will walk you through the process of implementing fine grained access control for the data governance framework within the Cloudera platform. In a good data governance strategy, it is important to define roles that allow the business to limit the level of access that users can have to their strategic data assets.

Metadata 52

Metadata Data Governance Government Management 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

Databand.ai

JUNE 20, 2023

Data integrity refers to the overall accuracy, consistency, and reliability of data stored in a database, data warehouse, or any other information storage system. It is a critical aspect of data management, ensuring that the information used by an organization is correct, up-to-date, and fit for its intended purpose.

Data Integration 52

Data Integration Data Validation Pharmaceutical Data Cleanse 52

Knowledge Hut

MARCH 28, 2024

In this blog, I will explore Azure data engineer jobs and the top 10 job roles in this field where you can begin your career. You can also search for Azure data engineer remote jobs from companies worldwide, as there are no restricting factors. Now, let’s see what options are available under Azure data engineer careers.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

ETL developers play a vital role in designing, implementing, and maintaining the processes that help organizations extract valuable business insights from data. The role of an ETL developer is to extract data from multiple sources, transform it into a usable format and load it into a data warehouse or any other destination database.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

Knowledge Hut

DECEMBER 28, 2023

In this blog, we'll talk about intriguing and real-time sample Hadoop projects with source codes that can help you take your data analysis to the next level. The system architecture must be fault-tolerant, capable of managing failures and guaranteeing data availability, even in the event of node failures.

Hadoop 52

Hadoop Project Datasets Big Data 52

Knowledge Hut

SEPTEMBER 26, 2023

A person who designs and implements data management , monitoring, security, and privacy utilizing the entire suite of Azure data services to meet an organization's business needs is known as an Azure Data Engineer. The main exam for the Azure data engineer path is DP 203 learning path.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Silectis

FEBRUARY 17, 2021

In this blog post, we’ll walk you through how data science and data engineering are complementary disciplines. We’ll also delineate a third category: data analysis. We’ll explore how both data engineering and data science should be marshaled to make better decisions.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 52

Cloudera

DECEMBER 20, 2021

But balancing a strong layer of security and governance with easy access to data for all users is no easy task. Retrofitting existing solutions to ever-changing policy and security demands is one option. Winner of the Data Impact Awards 2021: Security & Governance Leadership.

Government 86

Government Data Security Banking Metadata 86

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

ProjectPro

JUNE 9, 2021

This blog on Data Science vs. Data Engineering presents a detailed comparison between the two domains. Data Engineering involves designing and building data pipelines that extract, analyze, and convert data into a valuable and meaningful format for predictive and prescriptive modeling.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

SEPTEMBER 6, 2023

Problem-Solving : Strong problem-solving abilities are crucial for solving complex data challenges and efficient data processing. Data Security and Privacy : Considering the sensitivity of data handled in Big Data projects , it is crucial to have awareness of data security and privacy concerns.

Big Data 52

Big Data Certification Hadoop Scala 52

ProjectPro

FEBRUARY 21, 2023

With so many data engineering certifications available , choosing the right one can be a daunting task. There are over 133K data engineer job openings in the US, but how will you stand out in such a crowded job market? Why Are Data Engineering Skills In Demand? Don’t worry!

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Snowflake

APRIL 18, 2024

There are a number of online threads — see here , here and here just to link to a few — dedicated to how best to control costs, while limiting how much an organization has to compromise its security. But what if security teams didn’t have to make tradeoffs? This blog post explores how Snowflake can help with this challenge.

Data Lake 78

Data Lake Data Ingestion Bytes Cloud Computing 78

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

Databand.ai

AUGUST 30, 2023

Incorporation of Data Governance and Management Data leaders must enforce proper data governance practices, including metadata management, data cataloging, and lineage tracking, are in place to maintain regulatory compliance, enforce privacy policies, and increase overall trustworthiness of data.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Databand.ai

JULY 19, 2023

However, with the rise of the internet and cloud computing, data is now generated and stored across multiple sources and platforms. This dispersed data environment creates a challenge for businesses that need to access and analyze their data. In this phase, data is collected from various sources.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

Government 115

Government Machine Learning Algorithm Raw Data 115

Cloudera

SEPTEMBER 15, 2023

This information is essential for the management of the telco business, from fault resolution to making sure families have the right content package for their needs, to supply chain dashboards for businesses based on IoT data. Access and the exchange of data is critical for managing the operations in many industries.

Telecommunication 77

Telecommunication AWS Retail Amazon Web Services 77

Knowledge Hut

JULY 24, 2023

Database management, once confined to IT departments, has become a strategic cornerstone for businesses across industries. In this blog, we will talk about the future of database management. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

Edureka

FEBRUARY 9, 2023

The role of Azure Data Engineer is in high demand in the field of data management and analytics. As an Azure Data Engineer, you will be in charge of designing, building, deploying, and maintaining data-driven solutions that meet your organization’s business needs. Who is an Azure Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 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. HBL aims to double its banked customers by 2025. “

Banking 82

Banking Management Data Lake Professional Services 82

Cloudera

SEPTEMBER 12, 2022

A data fabric flips the traditional “as needed” enterprise data integration approach, with data fabric teams able to integrate all data sources in a fully controlled way, understand them, and make them available via self-service. Consistent data security and governance across all fabrics. Better together.

Unstructured Data 72

Unstructured Data Data Lake Data Architecture Data 72

Knowledge Hut

JANUARY 25, 2024

It doesn't matter if you're a data expert or just starting out; knowing how to clean your data is a must-have skill. The future is all about big data. This blog is here to help you understand not only the basics but also the cool new ways and tools to make your data squeaky clean.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52