DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Effective Data Anomaly Monitoring (#2) Introduction Ensuring the accuracy and timeliness of data ingestion is a cornerstone for maintaining the integrity of data systems. This process is critical as it ensures data quality from the onset.

Data Ingestion 52

Data Ingestion Transportation High Quality Data Data Schemas 52

Cloudera

APRIL 26, 2023

Data is core to decision making today and organizations often turn to the cloud to build modern data apps for faster access to valuable insights. With cloud operating models, decision making can be accelerated, leading to competitive advantages and increased revenue. What is cloud native exactly?

Cloud 64

Cloud Building Utilities Architecture 64

Cloudera

MARCH 31, 2021

CDP Public Cloud is now available on Google Cloud. The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure.

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

Christophe Blefari

JANUARY 20, 2024

Learn data engineering, all the references ( credits ) This is a special edition of the Data News. But right now I'm in holidays finishing a hiking week in Corsica 🥾 So I wrote this special edition about: how to learn data engineering in 2024. The idea is to create a living reference about Data Engineering.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Rockset

OCTOBER 11, 2022

Introduction Managing streaming data from a source system, like PostgreSQL, MongoDB or DynamoDB, into a downstream system for real-time analytics is a challenge for many teams. For a system like Elasticsearch , engineers need to have in-depth knowledge of the underlying architecture in order to efficiently ingest streaming data.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Snowflake

MARCH 2, 2023

Snowflake enables organizations to be data-driven by offering an expansive set of features for creating performant, scalable, and reliable data pipelines that feed dashboards, machine learning models, and applications. But before data can be transformed and served or shared, it must be ingested from source systems.

Kafka 125

Kafka Data Ingestion Data Pipeline Cloud Storage 125

Data Engineering Weekly

APRIL 21, 2024

Meta: Introducing Meta Llama 3 - The most capable openly available LLM to date Meta is taking an interesting approach in the growing LLM market with the open source approach and distribution across all the leading cloud providers and data platforms. The blog narrates how Chronon fits into Stripe’s online and offline requirements.

Data Engineering 52

Data Engineering Data Engineer Engineering Medical 52

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. 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.

Data Engineering 92

Data Engineering Data Engineer Cloud Engineering 92

Towards Data Science

JANUARY 26, 2023

In this post we consider the case in which our data application requires access to one or more large files that reside in cloud object storage. This continues a series of posts on the topic of efficient ingestion of data from the cloud (e.g., here , here , and here ).

Cloud Storage 72

Cloud Storage Big Data Cloud AWS 72

ProjectPro

FEBRUARY 6, 2023

With over 10 million active subscriptions, 50 million active topics, and a trillion messages processed per day, Google Cloud Pub/Sub makes it easy to build and manage complex event-driven systems. Google Cloud Pub/Sub is a global, cloud-based messaging framework that has become increasingly popular among data engineers over recent years.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Cloudera

DECEMBER 15, 2022

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Multi-cloud deployment with CDP public cloud. Advanced capabilitie.

Cloud 78

Cloud Metadata Google Cloud Data Warehouse 78

Christophe Blefari

MARCH 4, 2023

Formula 1 is back (trying to jinx before it happens) (yes there is no link with the data news) ( credits ) Hello you, I hope this new Data News finds you well. I'll try to think about it in the following weeks to understand where I go for the third year of the newsletter and the blog. So thank you for that.

Machine Learning 130

Machine Learning AWS Data Data Lake 130

Snowflake

APRIL 9, 2024

Outreach data, available via Snowflake Marketplace , contains a huge amount of useful information including lead scoring, topics that are resonating with audiences, where sales reps spend the most time, which accounts are open to conversations and more. Each of these sources may store data differently. But that’s not all.

BI 76

BI Data Ingestion Data Aggregated Data 76

Snowflake

APRIL 18, 2024

Legacy security information and event management (SIEM) solutions, like Splunk, are powerful tools for managing and analyzing machine-generated data. This model can force security teams to make difficult decisions on what data to ingest. This blog post explores how Snowflake can help with this challenge.

Data Lake 80

Data Lake Data Ingestion Bytes Cloud Computing 80

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Mastering Data Production (#3) Introduction Managing the production phase of data analytics is a daunting challenge. Overseeing multi-tool, multi-dataset, and multi-hop data processes ensures high-quality outputs.

Raw Data 49

Raw Data Data Ingestion Datasets Data 49

Rockset

MARCH 1, 2023

When you deconstruct the core database architecture, deep in the heart of it you will find a single component that is performing two distinct competing functions: real-time data ingestion and query serving. When data ingestion has a flash flood moment, your queries will slow down or time out making your application flaky.

Data Ingestion 144

Data Ingestion Database Architecture Cloud Storage 144

Cloudera

MAY 3, 2024

One of the worst-kept secrets among data scientists and AI engineers is that no one starts a new project from scratch. As a result, data scientists will often begin a project by developing an understanding of the data and the problem space and will then go out and find an example that is closest to what they are trying to accomplish.

Data Security 71

Data Security Machine Learning Data Ingestion Professional Services 71

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Fast, Safe Development and Deployment (#4) Introduction The integrity and functionality of new code, tools, and configurations during the development and deployment stages are crucial. This process is critical as it ensures data quality from the onset. Will I Create A Failed Deploy?

Data Ingestion 49

Data Ingestion Datasets Coding Data 49

Cloudera

DECEMBER 21, 2020

Companies that digitize quickly and across their entire enterprise – by adopting hybrid cloud for instance – are able to adapt more effectively to the changing consumption trends. Enhancing Online Customer Experience with Data . Enhancing Online Customer Experience with Data .

Retail 91

Retail Cloud Food Government 91

Data Engineering Podcast

JUNE 19, 2022

Summary Metadata is the lifeblood of your data platform, providing information about what is happening in your systems. In order to level up their value a new trend of active metadata is being implemented, allowing use cases like keeping BI reports up to date, auto-scaling your warehouses, and automated data governance.

Metadata 130

Metadata MongoDB Scala MySQL 130

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 6, 2023

In the world of cloud computing, efficiency isn’t just about running operations faster or smoother — it’s also about achieving more with less. Understanding and controlling cloud costs is a fundamental part of how Ascend manages the cloud infrastructure of our dedicated deployment customers.

Cloud 52

Cloud Data Pipeline Data Ingestion Cloud Storage 52

Cloudera

APRIL 13, 2021

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? In our humble opinion, we believe that’s Cloudera Data Platform (CDP). And sure, we’re a little biased—but only because we’ve seen firsthand how CDP helps our customers realize the full benefits of public cloud. .

Cloud 76

Cloud Pharmaceutical Medical Data Warehouse 76

Cloudera

FEBRUARY 10, 2022

After the launch of Cloudera DataFlow for the Public Cloud (CDF-PC) on AWS a few months ago, we are thrilled to announce that CDF-PC is now generally available on Microsoft Azure, allowing NiFi users on Azure to run their data flows in a cloud-native runtime. . The need for a cloud-native Apache NiFi service on Microsoft Azure.

Cloud 115

Cloud Kafka AWS Data Ingestion 115

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

Cloudera

SEPTEMBER 28, 2020

Cloudera delivers an enterprise data cloud that enables companies to build end-to-end data pipelines for hybrid cloud, spanning edge devices to public or private cloud, with integrated security and governance underpinning it to protect customers data. Data Science and machine learning workloads using CDSW.

Cloud 131

Cloud Kafka Professional Services Metadata 131

phData: Data Engineering

FEBRUARY 16, 2023

At phData, we’re starting to see a sharp increase in clients who are looking to migrate to dbt Cloud from dbt Core. This is due to a number of reasons, which we covered in a previous blog post , but in short, it’s primarily due to a need to accelerate platform adoption outside of central IT teams. ex: OKTA, Azure AD, Google, etc).

Cloud 52

Cloud Database Data Ingestion Coding 52

DataKitchen

MAY 10, 2024

The Five Use Cases in Data Observability: Ensuring Data Quality in New Data Sources (#1) Introduction to Data Evaluation in Data Observability Ensuring their quality and integrity before incorporating new data sources into production is paramount. When looking at new data, does one patch the data?

Data Cleanse 49

Data Cleanse Data Ingestion Data Datasets 49

Rockset

JANUARY 30, 2024

In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. minutes to batch load the data.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Data Engineering Weekly

SEPTEMBER 11, 2023

Data Engineering Weekly Is Brought to You by RudderStack RudderStack Profiles takes the SaaS guesswork and SQL grunt work out of building complete customer profiles so you can quickly ship actionable, enriched data to every downstream team. The blog narrates the key concepts of the Kimball model and a modern outlook on the concepts.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Cloudera

AUGUST 11, 2022

But information broadly, and the management of data specifically, is still “the” critical factor for situational awareness, streamlined operations, and a host of other use cases across today’s tech-driven battlefields. . Universal Data Distribution Solves DoD Data Transport Challenges. hardware in the skies, sea, and land.

Transportation 92

Transportation Data Ingestion Architecture Data 92

Data Engineering Podcast

JULY 10, 2022

Summary Building and maintaining reliable data assets is the prime directive for data engineers. While it is easy to say, it is endlessly complex to implement, requiring data professionals to be experts in a wide range of disparate topics while designing and implementing complex topologies of information workflows.

Data Engineering 100

Data Engineering Data Engineer Engineering MongoDB 100

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Government 111

Government Building Cloud Data Ingestion 111

Ascend.io

DECEMBER 21, 2022

Solution eliminates the cost of loading and syncing data from all sources within the Ascend platform, allowing teams to focus on accelerating business value. The new feature will address three critical ingest challenges: cost, complexity, and security. Free ingest from Ascend changes the math for us. MENLO PARK, Calif. , Dec.

Data Ingestion 52

Data Ingestion Google Cloud Data Lake Cloud 52

Cloudera

FEBRUARY 8, 2021

Within the vehicle, current electronics and wiring infrastructures were not designed for this complex data wrangling capability. In addition, moving outside the vehicle, existing fragmented approaches for data management associated with the machine learning lifecycle are limiting the ability to deploy new use cases at scale.

Manufacturing 108

Manufacturing Machine Learning Data Ingestion Electronics 108

Databand.ai

AUGUST 30, 2023

DataOps is a collaborative approach to data management that combines the agility of DevOps with the power of data analytics. It aims to streamline data ingestion, processing, and analytics by automating and integrating various data workflows. As a result, they can be slow, inefficient, and prone to errors.

Architecture 52

Architecture Data Ingestion Data Governance Data Cleanse 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Manufacturing 107

Manufacturing Data Warehouse Kafka Retail 107