Cloudera

MARCH 5, 2024

AI, and any analytics for that matter, are only as good as the data upon which they are based. Struggling to access and collect, oftentimes disparate and siloed, data across environments that are required to power AI, many organizations are unable to achieve the business insight and value they had hoped for.

Data Lake 86

Data Lake Data Storage Government Kafka 86

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

DECEMBER 11, 2020

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. Data security and governance champions – Merck KGaA.

Data Lake 98

Data Lake Government Data Security Unstructured Data 98

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

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. Data-as-a-product: By considering data resources through a product lens, teams can adopt practices centered around quality and ease of use.

Pipeline-centric 52

Pipeline-centric Architecture Government Data Architect 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. . Learn more about CDP Private Cloud here.

Cloud 84

Cloud Government Cloud Computing Data Architecture 84

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Keep data lineage secure and governed.

Manufacturing 108

Manufacturing Retail Entertainment Government 108

Knowledge Hut

MARCH 28, 2024

This demonstrates the increasing need for Microsoft Certified Data Engineers. 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. Develop data models, data governance policies, and data integration strategies. Let’s get started.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

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

Cloudera

FEBRUARY 4, 2021

Shared Data Experience (SDX). With the rise in hacking, data breaches, and other cyber threats, security and data governance is paramount, particularly in the financial services industry. Cloudera’s approach to the enterprise-wide data security and privacy challenge is SDX.

Technology 86

Technology Data Management Management Insurance 86

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

Cloudera

APRIL 27, 2021

This is because different departments don’t know what data is silo’d in other parts of the business. It’s often the case that departments guard their data, and partner departments don’t understand the data and can’t access it. The post Cable Companies Are Growing Up appeared first on Cloudera Blog.

Telecommunication 65

Telecommunication Entertainment Media Government 65

Cloudera

MAY 12, 2021

Enterprise Data Cloud: West Midlands Police — WMP public cloud data platform allows fast data insights and positive community interventions . Data Security & Governance: Merck KGaA, Darmstadt, Germany — Established a data governance framework with their data lake to discover, analyze, store, mine, and govern relevant data.

Food 66

Food Healthcare Government Medical 66

Cloudera

AUGUST 4, 2021

With hackers now working overtime to expose business data or implant ransomware processes, data security is largely IT managers’ top priority. And if data security tops IT concerns, data governance should be their second priority. Effective data governance must extend beyond the IT organization.

Data Governance 83

Data Governance Government Metadata Data Security 83

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. Data Warehousing Knowledge of data cubes, dimensional modeling, and data marts is required. Data Governance Know-how of data security, compliance, and privacy.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 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

Databand.ai

JUNE 20, 2023

To achieve data integrity, organizations must implement various controls, processes, and technologies that help maintain the quality of data throughout its lifecycle. These measures include data validation, data cleansing, data integration, and data security, among others.

Data Integration 52

Data Integration Data Validation Pharmaceutical Data Cleanse 52

Cloudera

AUGUST 21, 2020

Security needs to be treated at a mission-critical level and data security also needs to be a core part of a business’s strategic approach. The governance aspect is perhaps even more important and businesses need to be able to understand where the data comes from.

Banking 60

Banking Kafka Cloud Storage Government 60

Cloudera

NOVEMBER 12, 2020

Typically, when we talk about data warehousing at an enterprise level on the cloud, one of the biggest concerns is that moving workloads from on-premises to the cloud is not seamless and opens up new risks for data safety and security. How Burst to Cloud can solve your data center pressure. Key areas of concern are: .

Cloud 102

Cloud Data Warehouse Banking Data 102

Knowledge Hut

APRIL 25, 2023

It provides a suite of tools for data preparation, modeling, and visualization, as well as collaboration and sharing. With Power BI, data engineers can easily create interactive reports and dashboards that can be accessed from anywhere, on any device. Google BigQuery is a fully-managed, serverless data warehouse service.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Cloudera

DECEMBER 20, 2021

The right set of tools helps businesses utilize data to drive insights and value. 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.

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

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

Databand.ai

AUGUST 30, 2023

Integrating these principles with data operation-specific requirements creates a more agile atmosphere that supports faster development cycles while maintaining high quality standards. This demands the implementation of advanced data integration techniques, such as real-time streaming ingestion, batch processing, and API-based access.

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. Data governance also involves implementing data lineage and data cataloging.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. This is not just to implement specific governance rules — such as tagging, metadata management, access controls, or anonymization — but to prepare for the potential for rules to change in the future. .

Cloud 99

Cloud Government Healthcare Metadata 99

Cloudera

OCTOBER 19, 2023

Fourth , by unifying control and visibility across the on-premises, cloud, and edge environments, a hybrid data platform makes it easier for telcos to navigate disruptive changes, like M&A scenarios. CDP automatically enforces compliance policies, continuously monitoring and reporting on data access, changes, and movements.

Telecommunication 73

Telecommunication Data Architecture Government Architecture 73

Knowledge Hut

JANUARY 24, 2024

If you are an expert in working with data or a beginner excited to use visualization, this blog will help you understand the differences between power bi and tableau. Data Sources Tableau Software can access many data sources and servers. The thing about Power BI is that it supports different data sources.

BI 98

BI Business Intelligence Non-relational Database Data Analysis 98

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. Enterprise Data Cloud. Data Security & Governance. In its first six months of operation, OVO UnCover has proven to be 7.9

Medical 119

Medical Banking Telecommunication Government 119

Cloudera

JANUARY 21, 2022

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. Auditing procedures keep track of who accesses the cluster (and how). Sensitive data is encrypted.

Architecture 107

Architecture Transportation Certification Government 107

Knowledge Hut

JULY 24, 2023

In this blog, we will talk about the future of database management. In-memory Databases For applications that demand real-time data processing, in-memory databases are created. These databases use RAM-based data storage, which offers quicker access and response times than disk-based storage.

Database 52

Database NoSQL Management Relational Database 52

DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. DVC — Open-source Version Control System for Machine Learning Projects … data version control.

Consulting 120

Consulting Machine Learning Data Science Data Pipeline 120

Cloudera

DECEMBER 14, 2020

Enterprises can count on CDP for data security and governance with the tight integration of Cloudera SDX, Shared Data Experience. The post Top 4 Reasons Why You Should Upgrade Your Stream Processing Workloads To CDP appeared first on Cloudera Blog.

Process 68

Process Kafka Government Big Data 68

Snowflake

JULY 10, 2023

To buy and use a traditional SaaS app, a business has to go through lengthy evaluations and verify that the application builder adhered to their standards of data security. Either way, it creates new data silos that require ETL, APIs, or other methods to make the data accessible—and require you to spend time managing the process.

Entertainment 61

Entertainment Government Retail Healthcare 61

Cloudera

JUNE 14, 2021

Hybrid Data Cloud and Data Governance. Having established the need for a hybrid data cloud strategy, the question becomes how to manage that environment. The post Telecommunications and the Hybrid Data Cloud appeared first on Cloudera Blog. This is a difficult tightrope to walk. Find out more at [link].

Telecommunication 92

Telecommunication Cloud Finance Government 92

Cloudera

FEBRUARY 11, 2019

The root cause is firmly entrenched in legacy systems and traditional data governance challenges that not only result in data silos but also the misguided belief that data privacy is diametrically opposed to effective exploration of information. Experiments remain undocumented and model versioning is done haphazardly.

Government 56

Government Data Governance Data Science Machine Learning 56

ProjectPro

NOVEMBER 15, 2021

When any particular project is open-sourced, it makes the source code accessible to anyone. The adaptability and technical superiority of such open-source big data projects make them stand out for community use. Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects?

Big Data 52

Big Data Project Metadata Programming Language 52