Precisely

MAY 13, 2024

The right data integration solution helps you streamline operations, enhance data quality, reduce costs, and make better data-driven decisions. In most cases, authorized users should be able to add sources and targets at the click of a button, without custom programming. How much time is required from me for this process? #3.

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

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

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

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

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 52

Data Lake Architecture IT Amazon Web Services 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

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 90

Government Data Security Banking Metadata 90

Cloudera

NOVEMBER 10, 2021

Cloudera Data Platform (CDP) brings many improvements to customers by merging technologies from the two legacy platforms, Cloudera Enterprise Data Hub (CDH) and Hortonworks Data Platform (HDP). Sentry depended on Hue for visual policy management, and Cloudera Navigator for auditing data access in the CDH platform. .

Hadoop 77

Hadoop SQL Database Kafka 77

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

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

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

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. Data Privacy and Compliance Issues The growing significance of regulations like GDPR has made compliance more important than ever.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

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. Future-proof data capabilities.

Banking 85

Banking Management Data Lake Professional Services 85

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 91

Database Cloud Systems Management 91

Cloudera

APRIL 21, 2022

MHS Genesis has to tackle an almost impossible job in moving and processing petabytes of data, securely and accurately. The DoD is the federal government’s largest agency and one of the most complex organizations in the world. So how exactly is the EHR managing petabytes of data? million retirees, 1.3

Electronics 87

Electronics Medical Hospitality Insurance 87

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

AltexSoft

NOVEMBER 23, 2021

This often results in data inconsistencies and duplications as users demand more data views. Security and governance issues exist as sometimes sensitive data can’t be moved into the cloud or a centralized store, remaining in its native location. Enhanced data security and governance.

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

DDL statements are widely used to define the schema or structure of the database, specifying the data types in DBMS, relationships, and constraints that govern the data. DML statements provide the means to interact with the database, perform data analysis, generate reports, and modify data as per the application requirements.

MySQL 52

MySQL Medical Relational Database Healthcare 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

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

ProjectPro

JANUARY 31, 2022

Several organizations can quickly transform, integrate, and analyze their data with Snowflake's Data Cloud. They can also design and run data apps and securely share, gather, and commercialize real-time data. Each node in the cluster keeps a piece of the entire data set locally, like shared-nothing systems.

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 124

Architecture Metadata Government Kafka 124

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 56

Pharmaceutical Recruitment Machine Learning Metadata 56

phData: Data Engineering

JULY 18, 2023

Why Migrate to a Modern Data Stack? 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? This centralization streamlines data management.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

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

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

Monte Carlo

APRIL 20, 2023

Data is bigger and faster, but it’s also messier and less governed. I can surface ownership metadata and alert the relevant owners to make sure the appropriate changes are made so these breakages never happen. Data access and enablement Data lineage is essential to data quality, but that is far from its only use case.

Data Warehouse 52

Data Warehouse BI Data Government 52