Snowflake

SEPTEMBER 11, 2023

Many customers evaluating how to protect personal information and minimize access to data look specifically to data governance in Snowflake features. There are a number of data governance operating models that I see working with Snowflake as a centralized data repository for personal information.

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Cloud Electronics Government Data Governance 100

Databand.ai

MAY 30, 2023

High-quality data is essential for making well-informed decisions, performing accurate analyses, and developing effective strategies. Data quality can be influenced by various factors, such as data collection methods, data entry processes, data storage, and data integration.

Data Cleanse 85

Data Cleanse Datasets Data Governance Data Validation 85

Snowflake

NOVEMBER 29, 2023

While the former can be solved by tokenization strategies provided by external vendors, the latter mandates the need for patient-level data enrichment to be performed with sufficient guardrails to protect patient privacy, with an emphasis on auditability and lineage tracking. A conceptual architecture illustrating this is shown in Figure 3.

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Metadata Healthcare Medical Data Storage 105

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. This is where you should use pre-commit and SQLFluff. PS: I just split the Fast News to have a smaller one.

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Cloudera

MARCH 22, 2023

While a business analyst may wonder why the values in their customer satisfaction dashboard have not changed since yesterday, a DBA may want to know why one of today’s queries took so long, and a system administrator needs to find out why data storage is skewed to a few nodes in the cluster.

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Data Governance Government Business Analyst Metadata 88

Data Engineering Weekly

JUNE 10, 2024

Databricks and Snowflake offer a data warehouse on top of cloud providers like AWS, Google Cloud, and Azure. Snowflake and Databricks acknowledge the support for Iceberg and move the battle to the data governance layer. link] Open AI: Model Spec LLM models are slowly emerging as the intelligent data storage layer.

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Data Engineering Data Engineer Engineering Kafka 103

Cloudera

MARCH 5, 2024

The powerful platform data security and governance layer, Shared Data Experience (SDX) , is a fundamental part of the open data lakehouse, in the data center just as it is in the cloud. Available for cloud and now also for the data center. ZDU gives organizations a more convenient means of upgrading.

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Knowledge Hut

DECEMBER 22, 2023

Hadoop Gigabytes to petabytes of data may be stored and processed effectively using the open-source framework known as Apache Hadoop. Hadoop enables the clustering of many computers to examine big datasets in parallel more quickly than a single powerful machine for data storage and processing. degrees.

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Precisely

OCTOBER 24, 2024

Best practices for keeping data consistent and error-free during migration include not only addressing data integration , but also data quality and governance. Building this trust in your data is key to unlocking its full potential in the cloud. Planning for these costs is essential to avoid surprises.

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Cloud Data Integration Insurance Data 110

Snowflake

MAY 27, 2025

How we interact with data is changing The hottest new programming language is English," OpenAI founding member Andrej Karpathy famously Tweeted. The way we interact with data has changed radically. Turn data into intelligence with Snowflake Snowflakes AI Data Cloud empowers marketers in this evolving landscape.

Unstructured Data 81

Unstructured Data SQL Government Programming Language 81

Cloudera

NOVEMBER 1, 2022

To quote Gartner VP Sid Nag, the “irrational exuberance of procuring cloud services” gave way to a more rational approach that prioritizes governance and security over which cloud to migrate workloads to, be it public, private, or hybrid. . Learn more about CDP Private Cloud here.

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Cloud Government Cloud Computing Data Architecture 89

Snowflake

JULY 13, 2023

And because of Snowflake’s consumption-based pricing, ESO has reduced infrastructure and operational costs by paying only for actual usage, eliminating software license fees and recovering storage and server costs. Snowflake also enabled ESO to federate its data governance and gain visibility into the load versus query workloads.

Medical 98

Medical Hospitality Transportation Scala 98

Databand.ai

JULY 19, 2023

ELT offers a solution to this challenge by allowing companies to extract data from various sources, load it into a central location, and then transform it for analysis. The ELT process relies heavily on the power and scalability of modern data storage systems. The data is loaded as-is, without any transformation.

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Data Cleanse Data Storage Raw Data Data Warehouse 52

Databand.ai

AUGUST 30, 2023

DataOps Architecture Legacy data architectures, which have been widely used for decades, are often characterized by their rigidity and complexity. These systems typically consist of siloed data storage and processing environments, with manual processes and limited collaboration between teams.

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Architecture Data Ingestion Data Governance Data Cleanse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. A more flexible solution like a data lake or lakehouse may be better.

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The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. A more flexible solution like a data lake or lakehouse may be better.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

The Modern Data Company

MAY 10, 2023

Data governance and security: Evaluate the native security, data governance, and data quality management features. Because data lakes can have performance limitations for these use cases, a data warehouse may be a better fit. A more flexible solution like a data lake or lakehouse may be better.

Data Management 52

Data Management Management Data Lake Data Warehouse 52

Cloudera

AUGUST 21, 2024

The Awards showcase IT vendor offerings that provide significant technology advances – and partner growth opportunities – across technology categories including AI and AI infrastructure, cloud management tools, IT infrastructure and monitoring, networking, data storage, and cybersecurity.

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Unstructured Data Business Intelligence Data Architecture Data Warehouse 66

Striim

SEPTEMBER 11, 2024

Striim, for instance, facilitates the seamless integration of real-time streaming data from various sources, ensuring that it is continuously captured and delivered to big data storage targets. Data storage Data storage follows.

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The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

The Modern Data Company

MAY 8, 2023

Potential downsides of data lakes include governance and integration challenges. Data lakes often lack robust data governance, leading to data quality, consistency, and security issues. It provides a flexible, scalable, and secure data infrastructure that can adapt to evolving business needs.

Data Management 52

Data Management Management Data Lake Data Governance 52

Data Engineering Weekly

MARCH 3, 2024

The migration enhanced data quality, lineage visibility, performance improvements, cost reductions, and better reliability and scalability, setting a robust foundation for future expansions and onboarding. This approach helps maintain accuracy, relevance, and compliance in generative AI applications.

Data Engineering 67

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Precisely

JANUARY 25, 2024

Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. Build a Holistic Data Governance Framework Most enterprises have made significant progress in developing a sound data governance framework. Best Practice 5.

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Metadata Relational Database Data Governance Government 68

Cloudera

JUNE 27, 2023

An MDA allows you to identify silos and disparate processes, providing visibility across data functions and assets allowing rapid consolidation and harmonization. When you deploy a platform that supports MDA you can consolidate other systems, like legacy data mediation and disparate data storage solutions.

Data Architecture 62

Data Architecture Architecture Data Governance Government 62

AltexSoft

MARCH 14, 2023

Batch jobs are often scheduled to load data into the warehouse, while real-time data processing can be achieved using solutions like Apache Kafka and Snowpipe by Snowflake to stream data directly into the cloud warehouse. But this distinction has been blurred with the era of cloud data warehouses.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Databand.ai

JULY 6, 2023

Data Integrity Testing: Goals, Process, and Best Practices Niv Sluzki July 6, 2023 What Is Data Integrity Testing? Data integrity testing refers to the process of validating the accuracy, consistency, and reliability of data stored in databases, data warehouses, or other data storage systems.

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Data Integration Process Data Validation Data Governance 52

Data Engineering Weekly

DECEMBER 16, 2024

Databricks' acquisition of Tabular and the subsequent open-sourcing of Unity Catalog , followed by Snowflake's release of the open-source Polaris Catalog , marked a significant shift in the industry's data governance and discovery approach.

Data Engineering 62

Data Engineering Data Engineer Engineering Unstructured Data 62

Knowledge Hut

APRIL 23, 2024

Cloud Computing Examples Cloud computing consists of several examples that help in data storage over the internet seamlessly. File Sharing + Data Storage: Dropbox File sharing is another fine example of cloud computing platform. Conclusion Cloud computing is the future of data storage.

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Cloud Computing Cloud Amazon Web Services AWS 52

Edureka

FEBRUARY 9, 2023

Azure Data Engineering is a rapidly growing field that involves designing, building, and maintaining data processing systems using Microsoft Azure technologies. As a certified Azure Data Engineer, you have the skills and expertise to design, implement and manage complex data storage and processing solutions on the Azure cloud platform.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Snowflake

MARCH 30, 2023

Snowflake can also ingest external tables from on-premise s data sources via S3-compliant data storage APIs. Batch/file-based data is modeled into the raw vault table structures as the hub, link, and satellite tables illustrated at the beginning of this post.

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Engineering Raw Data Data Science Machine Learning 103

Precisely

NOVEMBER 10, 2023

Data Storage Costs How much does it cost to store your data? What is your data storage provider charging you to store information? Data Time-to-Value How long does it take for your firm to get value from its information? Low data quality is one of the most common causes of email bounces.

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Data Storage Data Data Integration Database 52

phData: Data Engineering

SEPTEMBER 19, 2023

This blog will guide you through the best data modeling methodologies and processes for your data lake, helping you make informed decisions and optimize your data management practices. What is a Data Lake? What are Data Modeling Methodologies, and Why Are They Important for a Data Lake? Contact phData Today!

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Data Lake Process Metadata Data Warehouse 52

DareData

JANUARY 30, 2023

In this post, we'll discuss some key data engineering concepts that data scientists should be familiar with, in order to be more effective in their roles. These concepts include concepts like data pipelines, data storage and retrieval, data orchestrators or infrastructure-as-code.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Cloudera

DECEMBER 2, 2020

With more than 25TB ingested from over 200+ different data sources, Telkomsel knew an agile and cost-efficient infrastructure was key to pursuing a digital-first strategy. . To kick start its mission to become a digital telco company, it turned to Cloudera to enable more cost-effective data storage.

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Telecommunication Data Science Business Intelligence Data Warehouse 67

Data Engineering Weekly

OCTOBER 6, 2024

The key benefits are Improved data quality, Enhanced data governance Increased security Cost efficiency [link] HomeToGo: How HomeToGo improved our Superset Monitoring Framework Apache Superset is the most popular open-source BI tool in the industry. “text-to-SQL” and “text-to-insight.”

Data Engineering 62

Data Engineering Data Engineer Engineering Data Warehouse 62

Knowledge Hut

NOVEMBER 7, 2023

Applications of Cloud Computing in Data Storage and Backup Many computer engineers are continually attempting to improve the process of data backup. Previously, customers stored data on a collection of drives or tapes, which took hours to collect and move to the backup location.

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