Data Engineering Podcast

MARCH 27, 2022

Summary Data governance is a practice that requires a high degree of flexibility and collaboration at the organizational and technical levels. The growing prominence of cloud and hybrid environments in data management adds additional stress to an already complex endeavor. What do you have planned for the future of Privacera?

Data Governance 130

Data Governance Government Cloud Building 130

Ascend.io

FEBRUARY 28, 2024

Metadata Management for Enhanced Machine Interpretation Data engineering extends its importance to the realm of metadata management, providing AI models with essential context about data definitions, classifications, and governance policies.

Data Engineering 52

Data Engineering Data Engineer Engineering Metadata 52

Christophe Blefari

JUNE 16, 2023

The power of pre-commit and SQLFluff —SQL is a query programming language used to retrieve information from data storages, and like any other programming language, you need to enforce checks at all times. 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

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Bad data management be like, Source: Makeameme Data architects are sometimes confused with other roles inside the data science team.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Data Engineering Podcast

FEBRUARY 13, 2022

In this episode CEO and founder Soumyadeb Mitra explains how Rudderstack compares to the various other tools and platforms that share some overlap, how to set it up for your own data needs, and how it is architected to scale to meet demand. You can observe your pipelines with built in metadata search and column level lineage.

Building 100

Building Hadoop Data Pipeline Metadata 100

Data Engineering Podcast

FEBRUARY 6, 2022

You can observe your pipelines with built in metadata search and column level lineage. Your host is Tobias Macey and today I’m interviewing Will Thompson about managing data privacy concerns for data sets used in analytics and machine learning Interview Introduction How did you get involved in the area of data management?

Data Pipeline 100

Data Pipeline Data Metadata Software Engineer 100

Knowledge Hut

APRIL 20, 2023

It involves establishing a framework for data management that ensures data quality, privacy, security, and compliance with regulatory requirements. The mix of people, procedures, technologies, and systems ensures that the data within a company is reliable, safe, and simple for employees to access.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

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

Knowledge Hut

MAY 9, 2024

Data Architect ScyllaDB Data architects play a crucial role in designing an organization's data management framework by assessing data sources and integrating them into a centralized plan. Average Annual Salary of Data Modeler A data modeler can earn $126,811 annually.

Data Science 52

Data Science Data Mining Data Architect Programming Language 52

AltexSoft

AUGUST 29, 2023

Instead of relying on traditional hierarchical structures and predefined schemas, as in the case of data warehouses, a data lake utilizes a flat architecture. This structure is made efficient by data engineering practices that include object storage. Watch our video explaining how data engineering works. Data lake on AWS.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Silectis

JANUARY 3, 2021

Data Architecture Data architecture is a composition of models, rules, and standards for all data systems and interactions between them. Data Catalog An organized inventory of data assets relying on metadata to help with data management.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

Knowledge Hut

SEPTEMBER 29, 2023

Design and develop data processing (25–30%): This component is concerned with ingesting and developing reliable data processing solutions. Design and implementation of data security (10–15%): In this phase, a data security protocol is designed and put into action.

Certification 52

Certification Data Engineering Data Engineer Engineering 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.

Hadoop 74

Hadoop SQL Database Kafka 74

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. You can become a data hero too.

Government 86

Government Data Security Banking Metadata 86

Knowledge Hut

DECEMBER 21, 2023

Blockchain data-based cloud data integrity protection mechanism The "Blockchain data-based cloud data integrity protection mechanism" paper suggests a method for safeguarding the integrity of cloud data and which is one of the Cloud computing research topics.

Cloud Computing 52

Cloud Computing Cloud Algorithm Healthcare 52

U-Next

SEPTEMBER 7, 2022

Maintaining communication with your staff, which necessitates correct employee data , is one approach to improve it. . What Is Employee Data Management? . Employee database management is a self-service system that allows employees to enter, update and assess their data. Improved Data Security and Sharing.

Data Management 52

Data Management Management Electronics Unstructured Data 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

AltexSoft

MARCH 2, 2023

Data integrity is about maintaining the quality of data as it is stored, converted, transmitted, and displayed. Learn more about data integrity in our dedicated article. However, decentralized models may result in inconsistent and duplicate master data. Hybrid (federated) governance model. The DAMA DMBOK wheel.

Data Governance 52

Data Governance Government Healthcare Programming 52

Cloudera

DECEMBER 16, 2022

We’re proud to be recognized for the data management and data analytics innovations we have delivered in the new Cloudera Data Platform (CDP). For example, Gartner has provided very pointed guidance on the urgency and inevitability of hybrid and multi-cloud for data management.

Database 88

Database Cloud Systems Management 88

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

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 10, 2021

Well, there’s a new phenomenon in data management that received the name of a data lakehouse. 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. Data warehouse.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

Cloudera

APRIL 21, 2022

MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. So how exactly is the EHR managing petabytes of data? Most of the massive data-management tasks DoD faces fall into that area where data, analytics, and the cloud intersect.

Electronics 84

Electronics Medical Hospitality Insurance 84

AltexSoft

NOVEMBER 23, 2021

Implementing data virtualization requires fewer resources and investments compared to building a separate consolidated store. Enhanced data security and governance. The information doesn’t need to be moved anywhere and access levels can be managed. ETL in most cases is unnecessary.

Process 69

Process Data Lake Metadata Data Warehouse 69

Data Engineering Podcast

JANUARY 28, 2018

Your host is Tobias Macey and today I’m interviewing Danielle Robinson and Joe Hand about Dat Project, a distributed data sharing protocol for building applications of the future Interview Introduction How did you get involved in the area of data management? What is the Dat project and how did it get started?

Data 100

Data Project Electronics Data Management 100

Knowledge Hut

JUNE 30, 2023

DML statements provide the means to interact with the database, perform data analysis, generate reports, and modify data as per the application requirements. Relational databases offer a robust and flexible approach to data management, making them suitable for a wide range of applications.

MySQL 52

MySQL Medical Relational Database Healthcare 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. It's an open-source database and data management framework.

Big Data 52

Big Data Project Metadata Programming Language 52

Cloudera

JANUARY 22, 2019

Pragmatically, Big Data Fabric comprises the following 6 layers that work harmoniously to provide seamless, real-time integration of Big Data: Data ingestion. Data processing and persistence. Data orchestration. Data discovery. Data management and intelligence. Data access.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

ProjectPro

JANUARY 31, 2022

Each node in the cluster keeps a piece of the entire data set locally, like shared-nothing systems. This method combines a shared-disk design's ease of data management with a shared-nothing architecture's efficiency and scale-out advantages. This layer stores the metadata needed to optimize a query or filter data.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).

Architecture 122

Architecture Metadata Government Kafka 122

Striim

FEBRUARY 5, 2024

Data Fabric is a comprehensive data management approach that goes beyond traditional methods , offering a framework for seamless integration across diverse sources. By upholding data quality, organizations can trust the information they rely on for decision-making, fostering a data-driven culture built on dependable insights.

Pharmaceutical 52

Pharmaceutical Data Cleanse Metadata Medical 52

AltexSoft

MAY 12, 2023

Unstructured data refers to information that lacks a predefined format or organization. In contrast, big data refers to large volumes of structured and unstructured data that are challenging to process, store, and analyze using traditional data management tools. Data security and privacy.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

MAY 22, 2019

Cloudera’s data superheroes design modern data architectures that work across hybrid and multi-cloud and solve complex data management and analytic use cases spanning from the Edge to AI. DATA SECURITY AND GOVERNANCE.

Pharmaceutical 55

Pharmaceutical Recruitment Machine Learning Metadata 55

ProjectPro

MAY 1, 2018

Zoomlion, the chinese construction machinery and sanitation equipment manufacturer adopted Cloudera’s big data platform to serve its growing big data needs. Zoomlion will use Cloudera’s big data platform to provide data management and analytic services to its customers in over 100 countries across 6 continents.

Hadoop 40

Hadoop Banking Healthcare Food 40

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. This way no decisions get made on bad data and our team becomes a proactive part of the solution,” said then Senior Director of Data at Freshly, Vitaly Lilich.

Data Warehouse 52

Data Warehouse BI Government Data 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. 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.

Scala 64

Scala Data Lake BI Google Cloud 64