Cloudera

OCTOBER 11, 2021

Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Cloud Speed and Scale. Customers using Modak Nabu with CDP today have deployed Data Lakes and.

Data Engineering 95

Data Engineering Data Engineer Cloud Engineering 95

phData: Data Engineering

NOVEMBER 8, 2024

First, we create an Iceberg table in Snowflake and then insert some data. Then, we add another column called HASHKEY , add more data, and locate the S3 file containing metadata for the iceberg table. In the screenshot below, we can see that the metadata file for the Iceberg table retains the snapshot history.

Architecture 52

Architecture Systems Data Lake Google Cloud 52

Snowflake

JANUARY 26, 2023

Accessing data from the manufacturing shop floor is one of the key topics of interest with the majority of cloud platform vendors due to the pace of Industry 4.0 Working with our partners, this architecture includes MQTT-based data ingestion into Snowflake. Industry 4.0, initiatives. and supply chain in the coming months.

Data Ingestion 52

Data Ingestion Manufacturing Unstructured Data Architecture 52

Snowflake

NOVEMBER 11, 2024

For organizations with lakehouse architectures, Snowflake has developed features that simplify the experience of building pipelines and securing data lakehouses with Apache Iceberg™, the leading open source table format. Support for auto-refresh and Iceberg metadata generation is coming soon to Delta Lake Direct.

Data Architecture 105

Data Architecture Architecture Data Lake Kafka 105

Data Engineering Podcast

NOVEMBER 20, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

Data Lake 130

Data Lake Data Ingestion MongoDB MySQL 130

Cloudera

DECEMBER 15, 2022

For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale. 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.

Cloud 80

Cloud Metadata Data Warehouse Google Cloud 80

Hepta Analytics

FEBRUARY 14, 2022

DE Zoomcamp 2.2.1 – Introduction to Workflow Orchestration Following last weeks blog , we move to data ingestion. We already had a script that downloaded a csv file, processed the data and pushed the data to postgres database. This week, we got to think about our data ingestion design.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 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 72

Data Warehouse Cloud Kafka Cloud Storage 72

Snowflake

NOVEMBER 29, 2023

Data cloud technology can accelerate FAIRification of the world’s biomedical patient data. Also, the associated business metadata for omics, which make it findable for later use, are dynamic and complex and need to be captured separately.

Metadata 102

Metadata Healthcare Medical Data Storage 102

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 116

Cloud Computing Cloud Storage Data Science Machine Learning 116

Snowflake

JUNE 4, 2024

Supporting open storage architectures The AI Data Cloud is a single platform for processing and collaborating on data in a variety of formats, structures and storage locations, including data stored in open file and table formats. Getting data ingested now only takes a few clicks, and the data is encrypted.

Government 102

Government Data Ingestion Data PostgreSQL 102

Cloudera

SEPTEMBER 9, 2022

Cloudera has been supporting data lakehouse use cases for many years now, using open source engines on open data and table formats, allowing for easy use of data engineering, data science, data warehousing, and machine learning on the same data, on premises, or in any cloud.

Architecture 102

Architecture Metadata Machine Learning Unstructured Data 102

Cloudyard

MARCH 4, 2023

Read Time: 5 Minute, 16 Second As we know Snowflake has introduced latest badge “Data Cloud Deployment Framework” which helps to understand knowledge in designing, deploying, and managing the Snowflake landscape. Respective Cloud would consume/Store the data in bucket or containers.

Architecture 52

Architecture Cloud Metadata Data Ingestion 52

Netflix Tech

MARCH 25, 2019

We adopted the following mission statement to guide our investments: “Provide a complete and accurate data lineage system enabling decision-makers to win moments of truth.” Therefore, the ingestion approach for data lineage is designed to work with many disparate data sources. push or pull.

Building 92

Building Metadata Transportation Data Ingestion 92

Cloudera

APRIL 22, 2021

This CVD is built using Cloudera Data Platform Private Cloud Base 7.1.5 Apache Ozone is one of the major innovations introduced in CDP, which provides the next generation storage architecture for Big Data applications, where data blocks are organized in storage containers for larger scale and to handle small objects.

Pipeline-centric 101

Pipeline-centric Data Lake Hadoop Big Data 101

Data Engineering Podcast

JUNE 5, 2022

Atlan is the metadata hub for your data ecosystem. Instead of locking all of that information into a new silo, unleash its transformative potential with Atlan’s active metadata capabilities. Go to dataengineeringpodcast.com/atlan today to learn more about how you can take advantage of active metadata and escape the chaos.

Data Security 100

Data Security Metadata MongoDB MySQL 100

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. Learn more here. This enables secure, simple, and isolated connectivity to internal stages. Learn more here.

Data Ingestion 106

Data Ingestion AWS Python Metadata 106

Cloudera

DECEMBER 20, 2021

Understanding that the future of banking is data-driven and cloud-based, Bank of the West embraced cloud computing and its benefits, like remote capabilities, integrated processes, and flexible systems. Winner of the Data Impact Awards 2021: Security & Governance Leadership. You can become a data hero too.

Government 91

Government Data Security Banking Metadata 91

Ascend.io

FEBRUARY 6, 2023

Data Flow – is an individual data pipeline. Data Flows include the ingestion of raw data, transformation via SQL and python, and sharing of finished data products. Data Plane – is the data cloud where the data pipeline workload runs, like Databricks, BigQuery, and Snowflake.

Cloud 52

Cloud Data Ingestion Raw Data Data Pipeline 52

Ascend.io

FEBRUARY 6, 2023

Data Flow – is an individual data pipeline. Data Flows include the ingestion of raw data, transformation via SQL and python, and sharing of finished data products. Data Plane – is the data cloud where the data pipeline workload runs, like Databricks, BigQuery, and Snowflake.

Cloud 52

Cloud Data Ingestion Raw Data Data Pipeline 52

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. Understand Change Data Capture — CDC.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

JUNE 30, 2022

No more lock-in, unnecessary data transformations, or data movement across tools and clouds just to extract insights out of the data. With Shared Data Experience (SDX) which is built in to CDP right from the beginning, customers benefit from a common metadata, security, and governance model across all their data. .

Data Lake 88

Data Lake Business Intelligence Metadata Data Warehouse 88

Rockset

APRIL 18, 2023

Under the hood, Rockset utilizes its Converged Index technology, which is optimized for metadata filtering, vector search and keyword search, supporting sub-second search, aggregations and joins at scale. Fast Search: Combine vector search and selective metadata filtering to deliver fast, efficient results.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Towards Data Science

DECEMBER 1, 2023

This tool automates ELT (Extract, Load, Transform) process, integrating your data from the source system of Google Calendar to our Snowflake data warehouse. Storage —  Snowflake Snowflake, a cloud-based data warehouse tailored for analytical needs, will serve as our data storage solution.

Data Engineering 97

Data Engineering Data Engineer Project Engineering 97

Cloudera

AUGUST 31, 2021

The key questions that need to be answered are: Do you have workloads you wish would run faster, but you just can’t make it happen without an expensive solution from your existing data warehouse? Are you looking for your data warehouse to support the hybrid multi-cloud? Copyright © 2021 Accenture. All rights reserved.

Data Warehouse 82

Data Warehouse Database-centric Metadata Cloud 82

Data Engineering Podcast

AUGUST 6, 2022

Instead of trapping data in a black box, they enable you to easily collect customer data from the entire stack and build an identity graph on your warehouse, giving you full visibility and control. Sign up free… or just get the free t-shirt for being a listener of the Data Engineering Podcast at dataengineeringpodcast.com/rudder.

Machine Learning 100

Machine Learning Database MySQL MongoDB 100

Towards Data Science

NOVEMBER 4, 2023

It simply makes sense to perform required data transformations, such as cleansing, enrichment and extraction in the place where data is being stored. Often it is a data warehouse solution (DWH) in the central part of our infrastructure. The downside of this approach is it’s pricing model though. ML model training using Airflow.

Data Engineering 98

Data Engineering Data Engineer Engineering BI 98

ProjectPro

FEBRUARY 8, 2023

For e.g., Finaccel, a leading tech company in Indonesia, leverages AWS Glue to easily load, process, and transform their enterprise data for further processing. Another leading European company, Claranet, has adopted Glue to migrate their data load from their existing on-premise solution to the cloud. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

Booking.com Engineering

DECEMBER 2, 2022

In this article, we want to illustrate our extensive use of the public cloud, specifically Google Cloud Platform (GCP). From data ingestion, data science, to our ad bidding[2], GCP is an accelerant in our development cycle, sometimes reducing time-to-market from months to weeks. What are PPC’s Challenges?

Systems 52

Systems Cloud MySQL Relational Database 52

Netflix Tech

OCTOBER 19, 2020

Distributed Tracing: the missing context in troubleshooting services at scale Prior to Edgar, our engineers had to sift through a mountain of metadata and logs pulled from various Netflix microservices in order to understand a specific streaming failure experienced by any of our members.

Building 96

Building Transportation Java Metadata 96

Cloudera

JUNE 16, 2022

Faster data ingestion: streaming ingestion pipelines. The DevOps/app dev team wants to know how data flows between such entities and understand the key performance metrics (KPMs) of these entities. She is a smart data analyst and former DBA working at a planet-scale manufacturing company. Getting started today.

Kafka 88

Kafka Manufacturing Data Lake SQL 88

Rockset

AUGUST 28, 2023

We founded Rockset to empower everyone from Fortune 500 to a five-person startup to build powerful search and AI applications and scale them efficiently in the cloud. The ability to scale apps efficiently in the cloud is what is going to allow enterprises to continue to leverage AI. We obsess about efficiency in the cloud.

Metadata 78

Metadata Unstructured Data SQL Database 78

Towards Data Science

MARCH 5, 2024

In that case, queries are still processed using the BigQuery compute infrastructure but read data from GCS instead. Such external tables come with some disadvantages but in some cases it can be more cost efficient to have the data stored in GCS. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Cloudera

AUGUST 21, 2020

The Corner Office is pressing their direct reports across the company to “Move To The Cloud” to increase agility and reduce costs. a deeper cloud vs. on-prem cost/benefit analysis raises more questions about moving these complex systems to the cloud: Is moving this particular operation to the cloud the right option right now ? .

Hadoop 76

Hadoop Big Data Cloud Kafka 76

RandomTrees

SEPTEMBER 6, 2020

Snowflake Overview A data warehouse is a critical part of any business organization. Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS).

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Cloudera

FEBRUARY 16, 2022

Each workspace is associated with a collection of cloud resources. In the case of CDP Public Cloud, this includes virtual networking constructs and the data lake as provided by a combination of a Cloudera Shared Data Experience (SDX) and the underlying cloud storage. Figure 03: lineage.yaml.

Machine Learning 85

Machine Learning Algorithm Government Metadata 85

LinkedIn Engineering

JULY 27, 2023

Authors: Deven Walia, Vivek Subramaniam , Simon Desowza , and Karthik Subramanian Cloud services have completely changed the way we approach infrastructure management. However, the ease of these processes can lead to over-provisioning and under-utilization of cloud resources, resulting in increased operating expenses.

Metadata 75

Metadata Utilities Cloud Database 75