Snowflake

NOVEMBER 29, 2023

In medicine, lower sequencing costs and improved clinical access to NGS technology has been shown to increase diagnostic yield for a range of diseases, from relatively well-understood Mendelian disorders, including muscular dystrophy and epilepsy , to rare diseases such as Alagille syndrome.

Metadata 84

Metadata Healthcare Medical Data Storage 84

Snowflake

FEBRUARY 13, 2024

Snowpark Updates Model management with the Snowpark Model Registry – public preview Snowpark Model Registry is an integrated solution to register, manage and use models and their metadata natively in Snowflake. When a pipe is in this state, it means the pipe will not accept new files for ingestion. Learn more here.

Data Ingestion 87

Data Ingestion AWS Python Metadata 87

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Metadata layer 4. Data Consumption Layer Maximizing GenAI potential with data lakehouse architecture Data observability in the data lakehouse What is data lakehouse architecture?

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. Metadata layer 4. Data lakehouse architecture is an increasingly popular choice for many businesses because it supports interoperability between data lake formats.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

AltexSoft

MARCH 14, 2023

A data stack, in turn, focuses on data : It helps businesses manage data and make the most out of it. Modern data stack architecture. The image above shows modern data stacks’ modularity with the possibility of choosing between different instruments. There’s always something more traditional preceding it.

IT 59

IT Data Warehouse Data Governance Data Lake 59

Cloudera

AUGUST 26, 2021

Ozone natively provides Amazon S3 and Hadoop Filesystem compatible endpoints in addition to its own native object store API endpoint and is designed to work seamlessly with enterprise scale data warehousing, machine learning and streaming workloads. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange.

Data Science 111

Data Science Cloud Hadoop Metadata 111

Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 100

Architecture Metadata Unstructured Data Machine Learning 100

phData: Data Engineering

SEPTEMBER 19, 2023

Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. It provides a blueprint for organizing and representing data to enable efficient querying, analysis, and interpretation. Want to learn more about data governance?

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Towards Data Science

NOVEMBER 4, 2023

I’d like to discuss some popular Data engineering questions: Modern data engineering (DE). Does your DE work well enough to fuel advanced data pipelines and Business intelligence (BI)? Are your data pipelines efficient? Often it is a data warehouse solution (DWH) in the central part of our infrastructure.

Data Engineering 82

Data Engineering Data Engineer Engineering BI 82

Towards Data Science

JULY 24, 2023

A data engineering manager at a Fortune 500 company expressed the pain of on-prem limitations to me by saying: “Our analysts were unable to run the queries they wanted to run when they wanted to run them. Why are these things related, and more importantly, why should data leaders care? Take data governance for example.

Metadata 95

Metadata Data Warehouse Data Lake Data Science 95

Cloudyard

APRIL 4, 2024

Implementation: Implementation: We developed a Snowpark script to process customer transaction data stored in the Snowflake database. Data Ingestion: Reads customer transaction data from the “CUSTOMER_TRANSACTIONS” table in the Snowflake database. The script performs the following tasks: 1.Data

Retail 40

Retail Data Ingestion Metadata Datasets 40

Cloudera

DECEMBER 20, 2021

The right set of tools helps businesses utilize data to drive insights and value. 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.

Government 89

Government Data Security Banking Metadata 89

Towards Data Science

DECEMBER 1, 2023

Photo by Gaining Visuals on Unsplash Here is a simple and fast pet project for Data/Analytics Engineers, who want to kick the tires on Modern Data Stack tools including dbt Core, Snowflake, Fivetran, and GitHub Actions. Now you can easily retrieve it from your account by leveraging “data movement platforms” like Fivetran.

Data Engineering 70

Data Engineering Data Engineer Project Engineering 70

Cloudera

AUGUST 17, 2022

?. What if you could access all your data and execute all your analytics in one workflow, quickly with only a small IT team? CDP One is a new service from Cloudera that is the first data lakehouse SaaS offering with cloud compute, cloud storage, machine learning (ML), streaming analytics, and enterprise grade security built-in.

Cloud Computing 115

Cloud Computing Cloud Storage Data Science Government 115

Rockset

APRIL 18, 2023

Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Comprehending and understanding how to leverage unstructured data has remained challenging and costly, requiring technical depth and domain expertise.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Monte Carlo

NOVEMBER 14, 2023

Databricks announced that Delta tables metadata will also be compatible with the Iceberg format, and Snowflake has also been moving aggressively to integrate with Iceberg. Databricks announced that Delta tables metadata will also be compatible with the Iceberg format, and Snowflake has also been moving aggressively to integrate with Iceberg.

Data Lake 64

Data Lake Metadata Data Warehouse SQL 64

Ascend.io

FEBRUARY 6, 2023

This database then hosts the workloads for the Data Flows in that Data Service. As a result, you can distribute workloads across more infrastructure, and align your Ascend teams with their access to different Snowflake resources. Now we add Data Plane configuration for Databricks and BigQuery.

Cloud 52

Cloud Data Ingestion Raw Data Data Pipeline 52

Ascend.io

FEBRUARY 6, 2023

This database then hosts the workloads for the Data Flows in that Data Service. As a result, you can distribute workloads across more infrastructure, and align your Ascend teams with their access to different Snowflake resources. Now we add Data Plane configuration for Databricks and BigQuery.

Cloud 52

Cloud Data Ingestion Raw Data Data Pipeline 52

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4 Businesses are leveraging big data now more than ever.

AWS 98

AWS Scala Metadata Data Lake 98

Towards Data Science

MARCH 5, 2024

Introduction In the field of data warehousing, there’s a universal truth: managing data can be costly. But let me give you a magical spell to appease the dragon: burn data, not money! At its core, BigQuery is a serverless Data Warehouse for analytical purposes and built-in features like Machine Learning ( BigQuery ML ).

Bytes 69

Bytes Google Cloud Cloud Storage Utilities 69

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Modak Nabu automates repetitive tasks in the data preparation process and thus accelerates the data preparation by 4x.

Data Engineering 92

Data Engineering Data Engineer Cloud Engineering 92

Cloudera

JUNE 30, 2022

With Cloudera’s vision of hybrid data , enterprises adopting an open data lakehouse can easily get application interoperability and portability to and from on premises environments and any public cloud without worrying about data scaling. Why integrate Apache Iceberg with Cloudera Data Platform?

Data Lake 86

Data Lake Business Intelligence Metadata Data Warehouse 86

Data Engineering Weekly

OCTOBER 30, 2022

Data Engineering Weekly Is Brought to You by RudderStack RudderStack provides data pipelines that make it easy to collect data from every application, website, and SaaS platform, then activate it in your warehouse and business tools. The highlights are that 59% of folks think data catalogs are sometimes helpful.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. real-time data streams) and generate immediate insights for faster decision making provides a competitive edge for organizations. . Faster data ingestion: streaming ingestion pipelines.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

Monte Carlo

APRIL 24, 2023

Data lakes are useful, flexible data storage repositories that enable many types of data to be stored in its rawest state. 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.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

Netflix Tech

MARCH 25, 2019

In the rest of this blog, we will a) touch on the complexity of Netflix cloud landscape, b) discuss lineage design goals, ingestion architecture and the corresponding data model, c) share the challenges we faced and the learnings we picked up along the way, and d) close it out with “what’s next” on this journey. push or pull.

Building 87

Building Metadata Transportation Data Ingestion 87

Cloudera

MARCH 31, 2021

The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. In this first Google Cloud release, CDP Public Cloud provides built-in Data Hub definitions (see screenshot for more details) for: Data Ingestion (Apache NiFi, Apache Kafka).

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

Monte Carlo

MARCH 28, 2023

Today, data engineers continue to stomp on hard coded pipelines and on-premises servers as they march up the modern data stack slope of enlightenment. The modern data stack didn’t arise because it did everything better than its predecessor. Data is bigger and faster, but it’s also messier and less governed.

Data Warehouse 126

Data Warehouse Raw Data Data Pipeline Software Engineer 126

RandomTrees

SEPTEMBER 6, 2020

Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). It stands out among the other enterprise data warehouses by providing lot of features. It is a SaaS offering, and hence it makes it a lot more flexible than traditional data warehouse offerings.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Databand.ai

AUGUST 30, 2023

DataOps , short for data operations, is an emerging discipline that focuses on improving the collaboration, integration, and automation of data processes across an organization. These tools help organizations implement DataOps practices by providing a unified platform for data teams to collaborate, share, and manage their data assets.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

LinkedIn Engineering

JULY 27, 2023

It’s now much easier to manage large infra requirements that have traditionally demanded an amalgamation of teams like DBA, Infra-SRE, Onprem-SMEs, network managers, and access control managers working together. Costwiz data platform Costwiz relies on a robust and high-performing central data platform for its operations.

Metadata 75

Metadata Utilities Cloud Data Lake 75

Monte Carlo

JULY 18, 2023

A data engineering manager at a Fortune 500 company expressed the pain of on-prem limitations to me by saying: “Our analysts were unable to run the queries they wanted to run when they wanted to run them. Why are these things related, and more importantly, why should data leaders care? Take data governance for example.

Metadata 52

Metadata Data Warehouse Data Lake Government 52

Monte Carlo

AUGUST 19, 2023

The data platform manages the collection, normalization, transformation, and application of data for a given data product—from business insights and dashboards to ML and AI engineering. And just like the companies they power, no two data platforms are ever exactly alike. Frequently Asked Questions What is a data platform?

Building 52

Building BI Data Lake Data Governance 52

Cloudera

FEBRUARY 9, 2021

Today’s customers have a growing need for a faster end to end data ingestion to meet the expected speed of insights and overall business demand. This ‘need for speed’ drives a rethink on building a more modern data warehouse solution, one that balances speed with platform cost management, performance, and reliability.

Data Warehouse 70

Data Warehouse Cloud Kafka Cloud Storage 70

Ascend.io

JUNE 8, 2023

Because of its transformative potential, data has graduated from being merely a by-product of business operations to a critical asset in its own right. Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? Data sharing goes beyond simply making the data available.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Cloudera

FEBRUARY 16, 2022

Within the CML data service, model lineage is managed and tracked at a project level by the SDX. SDX provides open metadata management and governance across each deployed environment by allowing organisations to catalogue, classify as well as control access to and manage all data assets. classification problem.

Machine Learning 83

Machine Learning Algorithm Government Metadata 83

Monte Carlo

JUNE 14, 2023

Data pipeline architecture is the process of designing how data is surfaced from its source system to the consumption layer. It’s important to understand most data pipelines aren’t a linear movement of data from source A to target B, but rather consist of a series of highly complex and interdependent processes.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52