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. Aqeel Ahmed Jatoi, Lead – Architecture, Governance and Control, Habib Bank Limited.

Banking 83

Banking Management Data Lake Professional Services 83

Knowledge Hut

APRIL 20, 2023

The following are some of the key reasons why data governance is important: Ensuring data accuracy and consistency: Data governance helps to ensure that data is accurate, consistent, and trustworthy. This helps organisations make informed decisions based on reliable data.

Data Governance 59

Data Governance Government Data Cleanse Data Security 59

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? Poor data quality, reliability, and integrity. Issues with data security and governance.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

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. Its goal is to define and control all data governance initiatives.

Data Governance 52

Data Governance Government Healthcare Programming 52

Silectis

JANUARY 3, 2021

Big Query Google’s cloud data warehouse. 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

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

Cloudera

MAY 22, 2019

The program recognizes organizations that are using Cloudera’s platform and services to unlock the power of data, with massive business and social impact. 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.

Pharmaceutical 55

Pharmaceutical Recruitment Machine Learning Metadata 55

Knowledge Hut

SEPTEMBER 29, 2023

By combining data from various structured and unstructured data systems into structures, Microsoft Azure Data Engineers will be able to create analytics solutions. Why Should You Get an Azure Data Engineer Certification? Data Scientist: To extract value from data, data scientists execute sophisticated analytics.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

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

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 60

Banking Kafka Cloud Storage Government 60

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 Government Data 52

ProjectPro

JANUARY 31, 2022

Snowflake in Action at Western Union Snowflake's multi-cluster shared data architecture expanded instantaneously to serve Western Union's data, users, and workloads without causing resource conflict. The query processing layer is separated from the disk storage layer in the Snowflake data architecture.

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

AltexSoft

MARCH 30, 2023

Source: The Data Team’s Guide to the Databricks Lakehouse Platform Integrating with Apache Spark and other analytics engines, Delta Lake supports both batch and stream data processing. Besides that, it’s fully compatible with various data ingestion and ETL tools. Databricks focuses on data engineering and data science.

Scala 64

Scala Data Lake BI Google Cloud 64

ProjectPro

MAY 1, 2018

Hortonworks announced the launch of a data governance plug-in named Studio for its DataPlane platform at the recent Hadoop Summit.DataPlane platform that was announced last year provides data architecture as a service with data governance baked in Apache Atlas.Scott Gnau, chief technology officer at Hortonworks said that the supplier is at stage 3.0

Hadoop 40

Hadoop Banking Healthcare Food 40

ProjectPro

OCTOBER 20, 2021

Data Integration at Scale Most data architectures rely on a single source of truth. Having multiple data integration routes helps optimize the operational as well as analytical use of data. Data Security and Governance These vulnerabilities can make or break AI Systems at Scale.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

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