Cloudera

DECEMBER 9, 2022

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Now, we shift focus on the needs of developers and addressing the challenges they face when building dataflows in the cloud.

Designing 96

Designing Coding Google Cloud AWS 96

Cloudera

JUNE 18, 2022

It added metadata that described the logical and physical layout of the data, enabling cost-based optimizers, dynamic partition pruning, and a number of key performance improvements targeted at SQL analytics. The cloud native table format was open sourced into Apache Iceberg by its creators.

Data Lake 90

Data Lake Data Warehouse BI SQL 90

Data Engineering Weekly

DECEMBER 4, 2022

The author discusses the need for richer metadata to support complex data lineage and evolving privacy requirements. The article highlights the challenges of maintaining data models in a world where SQL data warehouses are no longer the primary data platform. link] Barr Moses: What’s Next for Data Engineering in 2023?

Data Engineering 52

Data Engineering Data Engineer Engineering Data Lake 52

Cloudera

JULY 14, 2023

They simply read the underlying data (not even full read, they just read the parquet headers) and create corresponding Iceberg metadata files. Query engines (Impala, Hive, Spark) might mitigate some of these problems by using Iceberg’s metadata files. Hive creates Iceberg’s metadata files for the same exact table.

Metadata 69

Metadata Data Warehouse Big Data Ecosystem Java 69

Databand.ai

NOVEMBER 4, 2022

In a recent webinar with IBM, we dug into why data observability is so important, what’s needed for data observability, and how Databand can help. Now, the power of Databand will be available via a new integration with DataStage CP4D , IBM data fabric’s powerful cloud-native ingestion service. And it does so in real time.

Data 52

Data Data Pipeline Retail Metadata 52

Knowledge Hut

SEPTEMBER 29, 2023

Azure currently stands as the second-largest vendor of cloud services, solidifying its position as a platform worth investing in for aspiring Azure data engineers. To pass the DP-203 exam, it is essential to locate and identify the important study resources for cloud computing learning path.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

AltexSoft

NOVEMBER 7, 2022

Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. By default, Airflow handles metadata with SQLite which is meant for development only. The most common applications of the platform are. Airflow still doesn’t have it, though.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Knowledge Hut

NOVEMBER 28, 2023

The contemporary world experiences a huge growth in cloud implementations, consequently leading to a rise in demand for data engineers and IT professionals who are well-equipped with a wide range of application and process expertise. This can be easier when you are using existing cloud services.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Data Engineering Weekly

OCTOBER 23, 2022

The Data Engineering Weekly even published a special Metadata Edition focusing on the historical development of the Data Catalog. link] It is almost two years since we published the metadata edition, but I keep thinking back. link] Prabhuk Karthi STB: 10 Key Takeaways From Google Cloud Next22 Bye Bye Google Studio!!

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Cloudera

MAY 22, 2018

Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis. save the built model container, along with metadata like who built or deployed it. now extends the platform experience from research to production.

Data Science 41

Data Science Machine Learning Metadata Big Data 41

Monte Carlo

JUNE 14, 2023

Some organizations choose to still leverage an ETL pattern in the cloud, particularly for production pipelines where data contracts can help reduce data downtime. At the moment, this tight integration is possible because most zero-ETL architectures require both the transactional database and data warehouse to be from the same cloud provider.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Databand.ai

DECEMBER 29, 2022

Her primary focus areas are data science, data governance, artificial intelligence, advanced analytics, and multi-cloud product offerings. In his current role as Senior Director of Product Management at Google, he focuses on BigQuery, Cloud Dataflow, Cloud DataProc, Cloud DataPrep, Cloud PubSub, and Cloud Composer.

BI 52

BI Consulting Data Science Data Governance 52

Cloudera

DECEMBER 15, 2022

Today, we are thrilled to share some new advancements in Cloudera’s integration of Apache Iceberg in CDP to help accelerate your multi-cloud open data lakehouse implementation. Multi-cloud deployment with CDP public cloud. Multi-cloud capability is now available for Apache Iceberg in CDP. Advanced capabilitie.

Cloud 76

Cloud Metadata Google Cloud Data Warehouse 76

Cloudera

AUGUST 16, 2021

We just announced Cloudera DataFlow for the Public Cloud (CDF-PC), the first cloud-native runtime for Apache NiFi data flows. The need for a cloud-native Apache NiFi service. A technical look at Cloudera DataFlow for the Public Cloud. This is what Cloudera DataFlow for the Public Cloud offers to NiFi users.

Cloud 118

Cloud Unstructured Data Utilities Metadata 118

Cloudera

FEBRUARY 8, 2024

Starting from the CDW Public Cloud DWX-1.6.1 release and the matching CDW Private Cloud Data Services release, Hive also supports creating, using, and rebuilding materialized views for Iceberg table format. The snapshotId of the source tables involved in the materialized view are also maintained in the metadata.

Metadata 88

Metadata Data Warehouse BI AWS 88

ProjectPro

JULY 23, 2021

AWS (Amazon Web Services) is the world’s leading and widely used cloud platform, with over 200 fully featured services available from data centers worldwide. Amazon Web Services was launched in July 2002 from the existing Amazon cloud platform with the initial purpose of managing online retail transactions. What is AWS?

AWS 52

AWS Project Amazon Web Services Cloud Computing 52

Cloudera

JUNE 25, 2019

Cloudera Unveils Industry’s First Enterprise Data Cloud in Webinar. How do you take a mission-critical on-premises workload and rapidly burst it to the cloud? Can you instantly auto-scale resources as demand requires and just as easily pause your work so you don’t run up your cloud bill? An enterprise data cloud is: .

Cloud 86

Cloud Entertainment Government Machine Learning 86

Cloudera

AUGUST 30, 2022

Cloudera Data Platform (CDP) is a hybrid data platform with hybrid cloud capabilities and a number of other technologies and multifunction analytics to help public sector agencies deploy a modern data architecture that breaks through data silos and solves today’s public sector data challenges. Deploying modern data architectures.

Data Architecture 76

Data Architecture Architecture Data Lake NoSQL 76

Cloudera

APRIL 3, 2023

The table metadata is stored next to the data files under a metadata directory, which allows multiple engines to use the same table simultaneously. CDW separates the compute (Virtual Warehouses) and metadata (DB catalogs) by running them in independent Kubernetes pods. Read why the future of data lakehouses is open.

Data Warehouse 79

Data Warehouse Metadata Java Data 79

Monte Carlo

MAY 17, 2023

In a recent Snowflake webinar , JetBlue data scientist Derrick mentions how helpful it is for the data science team to know they don’t need to continuously do “sanity checks” on the volume of their data sets since they know they are being monitored for volume anomalies (as well as freshness, schema, and overall quality).

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

In a recent Snowflake webinar , JetBlue data scientist Derrick mentions how helpful it is for the data science team to know they don’t need to continuously do “sanity checks” on the volume of their data sets since they know they are being monitored for volume anomalies (as well as freshness, schema, and overall quality).

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52