Knowledge Hut

MARCH 7, 2024

Two, it creates a commonality of data definitions, concepts, metadata and the like. The traditional data management and data warehouses, and the sequence of data transformation, extraction and migration- all arise a situation in which there are risks for data to become unsynchronized.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Cloudera

FEBRUARY 4, 2021

I am pleased to announce that Cloudera was just named the Risk Data Repository and Data Management Product of the Year in the Risk Markets Technology Awards 2021. . Supporting the industry’s risk data depository and data management needs. End-to-end Data Lifecycle. Shared Data Experience (SDX).

Technology 88

Technology Data Management Management Insurance 88

Databand.ai

AUGUST 30, 2023

The DataOps framework is a set of practices, processes, and technologies that enables organizations to improve the speed, accuracy, and reliability of their data management and analytics operations. The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Towards Data Science

JUNE 8, 2023

This post will focus on the most common team ownership models including: data engineering, data reliability engineering, analytics engineering, data quality analysts, and data governance teams. Why is data quality ownership important? The governance team treats every team output as a data product.

Data Governance 79

Data Governance Government Generalist Data Engineering 79

Monte Carlo

JUNE 6, 2023

This post will focus on the most common team ownership models including: data engineering, data reliability engineering, analytics engineering, data quality analysts, and data governance teams. Table of Contents Why is important to answer who is responsible for data quality?

Data Governance 98

Data Governance Government Data Data Engineering 98

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

Knowledge Hut

APRIL 23, 2024

Small Data is well-suited for focused decision-making, where specific insights drive actions. Big Data vs Small Data: Storage and Cost Big Data: Managing and storing Big Data requires specialized storage systems capable of handling large volumes of data. How they are Similar?

Big Data 52

Big Data Datasets Data Analysis Media 52

Snowflake

FEBRUARY 5, 2024

The foundation for success is a data platform that allows flexible, cost-effective ways to access gen AI — whether organizations want to use off-the-shelf commercial and open-source large language models (LLMs), or fine-tune their own LLMs for more complex applications. Rinesh Patel, Snowflake’s Global Head of Financial Services 2.

Unstructured Data 94

Unstructured Data Banking Government Insurance 94

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 66

Data Cleanse Data Governance Unstructured Data Cloud Storage 66

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

Knowledge Hut

APRIL 23, 2024

Privacy and Security Concerns The chances of data in large volumes being vulnerable to security threats, data breaches, and cyberattacks are quite high. Unless it is safeguarded via modern tech means, data security is a very real threat. Costs Every activity related to big data brings significant costs.

Big Data 52

Big Data Media Government Big Data Skills 52

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

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

Knowledge Hut

JANUARY 3, 2024

Some of the benefits introduced by cloud solutions include data security, flexibility, efficiency, and high performance. However, the Cloud is not perfect and has its own set of drawbacks when it comes to data management and privacy concerns. Thus, there are various benefits and challenges of cloud computing.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services Government 52

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

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 86

Cloud Government Cloud Computing Data Architecture 86

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 76

Hadoop SQL Database Kafka 76

Edureka

FEBRUARY 7, 2023

An Azure Data Engineer is responsible for designing, implementing, and maintaining data management and data processing systems on the Microsoft Azure cloud platform. They work with large and complex data sets and are responsible for ensuring that data is stored, processed, and secured efficiently and effectively.

Data Engineering 52

Data Engineering Data Engineer Engineering Programming Language 52

ProjectPro

FEBRUARY 8, 2023

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 developers are the backbone of a successful data management strategy as they ensure that the data is consistent and accurate for data-driven decision-making.

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 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

Monte Carlo

APRIL 24, 2023

One weakness of the data lake architecture was the need to “bolt on” a data store such as Hive or Glue. This was largely overcome when Databricks announced their Unity Catalog feature which fully integrates those metastores along with other partnering data catalog and data security technologies.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Knowledge Hut

JANUARY 30, 2024

Use Case Essential for data preprocessing and creating usable datasets. Types of data you can extract Data extraction is a fundamental process in the realm of data management and analysis, encompassing the retrieval of specific, relevant information from various sources.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

MARCH 2, 2023

As the amount of enterprise data continues to surge, businesses are increasingly recognizing the importance of data governance — the framework for managing an organization’s data assets for accuracy, consistency, security, and effective use. What is data governance? billion in 2020 to $5.28

Data Governance 52

Data Governance Government Healthcare Programming 52

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. Subsequent transformation into a more analyzable form occurs within the data lake itself.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Silectis

FEBRUARY 17, 2021

Data engineering sits at the bottom of our pyramid, enabling both data analysis and data science. Data engineering has four components: exploring data, organizing data, governance and data management, and operationalizing data infrastructure.

Data Science 52

Data Science Data Engineering Data Engineer Engineering 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

Meltano

FEBRUARY 22, 2023

When that’s the case, it’s essential to have a strategy to clean the data up after running the tests to ensure that there are no security risks related to that data. Effective data deletion and cleanup strategies work only when good data governance, auditing, and compliance are in place.

Data 52

Data Transportation Data Workflow Data Lake 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 87

Government Data Security Banking Metadata 87

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 88

Data Security Telecommunication Data Lake Data Governance 88

ProjectPro

FEBRUARY 1, 2017

Experian deployed a new software called data fabric layer based on open source Hadoop along with an API platform and microservices which will help consumers and corporate customers access credit reports and information quickly. v) In 2017, we might think of big data as a data fabric. 5 Hadoop Trends to Watch in 2017.

Hadoop 52

Hadoop MongoDB Big Data Kafka 52

Knowledge Hut

APRIL 25, 2024

Data management The process of obtaining, storing, and using data in a cost-effective, effective, and secure way is known as data management. As businesses increasingly rely on intangible assets to create value, an efficient data management strategy is more important than ever.

Big Data 52

Big Data Data Analytics Manufacturing Retail 52

Monte Carlo

FEBRUARY 6, 2023

Migrations require support from everyone from data engineers and stakeholders to cross-functional partners in order to be successful, so it’s critically important to get the right people around the table early. What teams will be using your new data warehouse? What will they need access to and when? Is your data structured?

Data Warehouse 52

Data Warehouse AWS Data Validation Data 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. Access the Official Resources (Training Courses, etc.)

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Striim

FEBRUARY 19, 2024

Overview of Data Mesh Data Mesh is a decentralized architectural approach designed to address large-scale data management issues by promoting domain-oriented data ownership and self-serve data infrastructure. This makes it more valuable and easy to access for everyone in the organization.

Data Integration 52

Data Integration Government Data Data Governance 52

François Nguyen

MARCH 7, 2021

In this article, Juan Sequada gives maybe one of the best definition of Data Mesh ” It is paradigm shift towards a distributed architecture that attempts to find an ideal balance between centralization and decentralization of metadata and data management.”

Government 130

Government Data Governance Data Metadata 130

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

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 74

Telecommunication Data Architecture Government Architecture 74