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

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 has been setup for data in the metastore. Security Architecture Improvements.

Architecture 110

Architecture Transportation Certification Government 110

AltexSoft

NOVEMBER 10, 2021

The pun being obvious, there’s more to that than just a new term: Data lakehouses combine the best features of both data lakes and data warehouses and this post will explain this all. What is a data lakehouse? Traditional data warehouse platform architecture. Data lake architecture example.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

AUGUST 29, 2023

Data lakes emerged as expansive reservoirs where raw data in its most natural state could commingle freely, offering unprecedented flexibility and scalability. This article explains what a data lake is, its architecture, and diverse use cases. Data warehouse vs. data lake in a nutshell.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Cloudera

MAY 2, 2022

from China to the UK , new data governance and protection rules are coming in on an almost daily basis. There are many reasons to deploy a hybrid cloud architecture — not least cost, performance, reliability, security, and control of infrastructure.

Cloud 101

Cloud Government Healthcare Metadata 101

Monte Carlo

MARCH 13, 2024

Let’s dig in and explore the landscape of the top so-called “data quality tools” — what they are, what they’re not, and whether they’re the right first step towards more reliable data. Governance helps companies set important standards and achieve higher levels of data security, data accessibility, and data quality.

Data Governance 52

Data Governance Government Metadata Data 52

ProjectPro

JANUARY 31, 2022

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? Its analytical skills enable companies to gain significant insights from their data and make better decisions.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

François Nguyen

MARCH 7, 2021

I will try to answer to this question “Could you illustrate your journey towards a Data Mesh ?” ” with 3 articles : this one about Data domains and Team Topologies, a second one devoted to the architecture and the technology and the last one about change management and the needed skills.

Government 130

Government Data Governance Data Metadata 130

Christophe Blefari

JUNE 16, 2023

Change Data Capture (CDC) with PostgreSQL and ClickHouse — This is a nice vendor post about CDC with Kafka as movement layer (using Debezium). The post explains well the architecture you need to make it work. Privitar will bring "data security" stuff. This is where you should use pre-commit and SQLFluff.

Programming Language 130

Programming Language SQL PostgreSQL Data 130

AltexSoft

FEBRUARY 11, 2023

This specialist works closely with people on both business and IT sides of a company to understand the current needs of the stakeholders and help them unlock the full potential of data. To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Snowflake

JANUARY 22, 2024

Fidelity has two main enterprise data architecture guiding principles for its data scientists and data engineers: For data storage, Snowflake is the platform for storing all of the company’s structured and semi-structured analytical data in its Enterprise Data Lake and Data Labs.

Engineering 63

Engineering Data Lake Unstructured Data Metadata 63

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. . Improve Visibility within Supply Chains. Open source solutions reduce risk.

Manufacturing 109

Manufacturing Retail Entertainment Government 109

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

AltexSoft

NOVEMBER 23, 2021

To break data silos and speed up access to all enterprise information, organizations can opt for an advanced data integration technique known as data virtualization. This post is a perfect place to learn about this approach, its architecture components, differences, benefits, tools, and more. What is data virtualization?

Process 69

Process Data Lake Metadata Data Warehouse 69

Monte Carlo

APRIL 24, 2023

Traditionally, after being stored in a data lake, raw data was then often moved to various destinations like a data warehouse for further processing, analysis, and consumption. Databricks Data Catalog and AWS Lake Formation are examples in this vein. AWS is one of the most popular data lake vendors.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Cloudera

NOVEMBER 10, 2021

Sentry depended on Hue for visual policy management, and Cloudera Navigator for auditing data access in the CDH platform. . On the other hand, Apache Ranger provides a comprehensive security framework to enable, manage and monitor data security across the Hadoop platform. Sentry to Ranger – A few behavioral changes.

Hadoop 76

Hadoop SQL Database Kafka 76

AltexSoft

MARCH 30, 2023

It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data. The relatively new storage architecture powering Databricks is called a data lakehouse. Databricks lakehouse platform architecture.

Scala 64

Scala Data Lake BI Google Cloud 64

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

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.

Government 57

Government Data Governance Data Science Machine Learning 57

phData: Data Engineering

JULY 18, 2023

Key Benefits and Features of Using Snowflake Data Sharing: Easily share data securely within your organization or externally with your customers and partners. 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

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 61

Banking Kafka Cloud Storage Government 61

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. How Burst to Cloud can solve your data center pressure. A tale of two organizations.

Cloud 103

Cloud Data Warehouse Banking Data 103

Monte Carlo

APRIL 20, 2023

I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. Data System Modernization And Team Reorganization The only constant in data engineering is change. This is similar to the data lineage use case leveraged by Prefect.

Data Warehouse 52

Data Warehouse BI Data Government 52

ProjectPro

NOVEMBER 15, 2021

It offers a fault-tolerant storage engine that prioritizes data security. On top of existing data lakes like S3, ADLS, GCS, and HDFS, Delta Lake enables ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. To contribute to this project, hop onto: [link] 19.DataHub

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

MAY 1, 2018

This agreement will allow the IT infrastructure services provider to offer BlueData EPIC software to its customers in the German market.BlueData has gained popularity for its innovations using Docker containers that streamline the provisioning of various big data workloads in an elastic, on-demand, and multi-tenant architecture.

Hadoop 40

Hadoop Banking Healthcare Food 40