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 Lake 98

Data Lake Government Data Security Unstructured Data 98

Databand.ai

JULY 19, 2023

Learn more in our detailed guide to the data ingestion process (coming soon) Best Practices for Effective Data Ingestion Defining Clear Data Governance Policies Data governance involves the overall management of data availability, usability, integrity, and security.

Data Ingestion 52

Data Ingestion Process Data Cleanse Data Governance 52

Cloudera

JUNE 22, 2023

It ensures compliance with regulatory requirements while shifting non-sensitive data and workloads to the cloud. Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments.

Data Cleanse 68

Data Cleanse Data Governance Unstructured Data Cloud Storage 68

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

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 92

Cloud Government Cloud Computing Data Architecture 92

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

AltexSoft

FEBRUARY 11, 2023

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. If you are not familiar with the above-mentioned concepts, we suggest you to follow the links above to learn more about each of them in our blog posts.

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

Cloudera

NOVEMBER 10, 2021

This blog post provides CDH users with a quick overview of Ranger as a Sentry replacement for Hadoop SQL policies in CDP. Sentry depended on Hue for visual policy management, and Cloudera Navigator for auditing data access in the CDH platform. . Please read this blog post on Ranger RMS to learn more about this new feature.

Hadoop 80

Hadoop SQL Database Kafka 80

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

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

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 94

Government Data Security Banking Metadata 94

Cloudera

MAY 9, 2023

Cloudera Data Platform (CDP) will enable SoftBank to increase resources flexibly as needed and adjust resources to meet business needs. In addition, it has functions to review and update user access controls regularly as part of data governance.

Data Security 94

Data Security Telecommunication Data Lake Data Governance 94

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? big data and ETL tools, etc. 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. Organizations need to establish data governance policies, processes, and procedures, as well as assign roles and responsibilities for data governance.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

Databand.ai

JULY 19, 2023

This approach allows for faster data processing and more flexible data management compared to traditional methods. In this phase, data is collected from various sources. It should be able to handle increases in data volume and changes in data structure without affecting the performance of the ELT process.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

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 79

Telecommunication Data Architecture Government Architecture 79

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

Apache Flink enables data analysts and developers to leverage continuous SQL for querying and advanced state management and windowing capabilities to build sophisticated real-time analytics. . Extend your streaming platform to the public cloud with CDP Data Hub .

Process 73

Process Kafka Government Big Data 73

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

Picnic Engineering

JULY 26, 2022

Data Mesh, or Hub-and-Spoke? and other reflections on building data governance. Since the publication of the first blog post in this series, we have received numerous questions via social media, direct messages, public posts, and meet-up discussions. What exactly is a “lakeless” Data Warehouse? Let’s dive in!

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

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. need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g.,

Architecture 127

Architecture Metadata Government Kafka 127

Databand.ai

JANUARY 24, 2023

DataOps is an automated, process-oriented methodology used by analytics and data teams to improve quality and reduce the cycle times of data and analytics. The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models, and related artifacts.”

Retail 52

Retail Banking Government Manufacturing 52

Cloudera

AUGUST 26, 2020

Informatica’s comprehensive suite of Data Engineering solutions is designed to run natively on Cloudera Data Platform — taking full advantage of the scalable computing platform. Data scientists can also automate machine learning with the industry-leading H2O.ai’s AutoML Driverless AI on data managed by Cloudera.

Machine Learning 85

Machine Learning BI Big Data Data Warehouse 85

Cloudera

FEBRUARY 22, 2021

Apache Ranger (part of the Shared Data Experience – SDX) replaces data security tools to deploy a fine-grained data access policy mechanism by natively enabling column and row-level filtering alongside with data masking. data lineage and discovery). .

Data Warehouse 83

Data Warehouse Data Governance Government Cloud 83

phData: Data Engineering

JULY 18, 2023

To truly understand its potential, we need to explore the benefits it brings, particularly when transitioning from traditional data management structures. Why Migrate to a Modern Data Stack? Zero Copy Cloning: Create multiple ‘copies’ of tables, schemas, or databases without actually copying the data.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Monte Carlo

APRIL 20, 2023

In a recent blog post on how to handle a schema change , we detailed how Marion Rybnikar, the Senior Director of Data Strategy & Governance for Slice, a data-driven company that empowers over 18,000 independent pizzerias with modern tooling, uses data lineage for communicating and properly managing schema changes.

Data Warehouse 52

Data Warehouse BI Data Government 52