Cloudera

MAY 30, 2024

By leveraging the flexibility of a data lake and the structured querying capabilities of a data warehouse, an open data lakehouse accommodates raw and processed data of various types, formats, and velocities. Learn more about the Cloudera Open Data Lakehouse here.

Data Lake 63

Data Lake Data Warehouse Programming Language Data Ingestion 63

DoorDash Engineering

NOVEMBER 21, 2022

Adding Kafka adds an additional layer of resiliency for moving data from one system to another. Using Cadence further provides robustness and easy access to successes and failures through a user interface.

Data Process 57

Data Process Process Kafka Database 57

Cloudera

MAY 28, 2024

Data architecture is what defines the structures and systems within an organization responsible for collecting, storing, and accessing data, along with the policies and processes that dictate how data is governed. Learn more about how Cloudera can help you achieve a modern data architecture.

Data Architecture 75

Data Architecture Architecture Data Lake Data Warehouse 75

ProjectPro

JANUARY 25, 2022

Here’s What You Need to Know About PySpark This blog will take you through the basics of PySpark, the PySpark architecture, and a few popular PySpark libraries , among other things. Finally, you'll find a list of PySpark projects to help you gain hands-on experience and land an ideal job in Data Science or Big Data.

Big Data 52

Big Data Data Process Process Kafka 52

Cloudera

JANUARY 19, 2018

Before we get too far into 2018, let’s take a look at the ten most popular Cloudera VISION blogs from 2017. From its origins in the 1950’s to today, the age of big data. Sean ascertains that larger data sets and increased access to compute power is propelling the adoption of machine learning. This blog has everything!

Insurance 45

Insurance Machine Learning Data Science Big Data 45

Cloudera

SEPTEMBER 11, 2018

The open data processing pipeline. IoT is expected to generate a volume and variety of data greatly exceeding what is being experienced today, requiring modernization of information infrastructure to realize value. The post Building an Open Data Processing Pipeline for IoT appeared first on Cloudera Blog.

Data Process 40

Data Process Process Building Machine Learning 40

Snowflake

SEPTEMBER 11, 2023

This blog post specifically addresses the highlighted sections in P-39.1 – Act respecting the protection of personal information in the private sector. I’d also like to offer some perspective on how best to handle issues such as a person’s right to rectification, data portability, data deletion and restriction of data processing.

Cloud 78

Cloud Electronics Government Data Governance 78

Data Engineering Weekly

JULY 30, 2023

Oh, just throw this data in S3 and possibly apply intelligent tiering. data engineer, you won’t be surprised to hear this. The blog from All Things Distributed goes behind the scene on the challenges of operating S3 with the data placement strategy and managing machine heat and human factors. If you’re a.

Data Engineering 52

Data Engineering Data Engineer Engineering Kafka 52

Data Engineering Weekly

APRIL 28, 2024

[link] Netflix: Data Gateway — A Platform for Growing and Protecting the Data Tier Netflix's Data Gateway is a platform designed to enhance and safeguard the data tier by providing a unified interface for accessing data across various sources while ensuring security and compliance.

Data Engineering 52

Data Engineering Data Engineer Engineering Hospitality 52

Data Engineering Weekly

DECEMBER 3, 2023

Github writes an excellent blog to capture the current state of the LLM integration architecture. link] Microsoft: Generative AI for Beginners Understanding Gen-AI becomes a mandatory skill for application developers and data engineers. I experienced similar drawbacks to what Lyft is talking about in Druid.

Data Engineering 70

Data Engineering Data Engineer Engineering Bytes 70

Cloudera

MARCH 2, 2023

Recently, we announced enhanced multi-function analytics support in Cloudera Data Platform (CDP) with Apache Iceberg. Iceberg is a high-performance open table format for huge analytic data sets. The post Streaming Ingestion for Apache Iceberg With Cloudera Stream Processing appeared first on Cloudera Blog.

Process 113

Process SQL Kafka Database 113

Cloudera

OCTOBER 19, 2023

This has a few implications for next-gen data platform architecture: First , streaming data presents a novel set of data management and governance challenges, requiring a data architecture that’s suitable for low-latency, high-velocity data processing.

Telecommunication 75

Telecommunication Data Architecture Government Architecture 75

Engineering at Meta

MAY 22, 2024

To efficiently process data generated by billions of people, Data Infrastructure teams at Meta have built a variety of data management systems over the last decade, each targeted to a somewhat specific data processing task. Today, new Arrow releases not only enable efficient (i.e.,

Data Management 82

Data Management Management Data SQL 82

Cloudera

APRIL 1, 2024

The following are key attributes of our platform that set Cloudera apart: Unlock the Value of Data While Accelerating Analytics and AI The data lakehouse revolutionizes the ability to unlock the power of data. Adopt Data Mesh to Power the New Wave of AI Data is evolving from a valuable asset to being treated as a product.

Cloud 104

Cloud Unstructured Data Metadata Datasets 104

Cloudyard

APRIL 1, 2024

This blog post introduces a solution for automated warehouse size change monitoring and email alerts using Snowflake Streams and Tasks. Imagine you’re a data analyst managing a busy Snowflake account. You rely on a designated warehouse to handle your data processing needs.

Data Pipeline 52

Data Pipeline Utilities Coding Designing 52

Cloudyard

APRIL 4, 2024

However, the volume of daily transaction data poses challenges in effectively segmenting customers and optimizing engagement. This blog post explores how Snowpark, a powerful tool for data processing within Snowflake, can be used to perform RFM segmentation and unlock actionable customer insights.

Retail 40

Retail Data Ingestion Metadata Datasets 40

Netflix Tech

MARCH 10, 2023

Studio applications use this service to store their media assets, which then goes through an asset cycle of schema validation, versioning, access control, sharing, triggering configured workflows like inspection, proxy generation etc. This pattern grows over time when we need to access and update the existing assets metadata.

Management 94

Management Kafka Metadata Media 94

Knowledge Hut

APRIL 25, 2024

It is especially true in the world of big data. If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. In this blog post, we will discuss such technologies. Big data is a term that refers to the massive volume of data that organizations generate every day.

Big Data 98

Big Data Technology NoSQL Hadoop 98

Netflix Tech

NOVEMBER 14, 2023

By Abhinaya Shetty , Bharath Mummadisetty This blog post will cover how Psyberg helps automate the end-to-end catchup of different pipelines, including dimension tables. In the previous installments of this series, we introduced Psyberg and delved into its core operational modes: Stateless and Stateful Data Processing.

Metadata 97

Metadata Data Pipeline Scala Data Workflow 97

Cloudera

FEBRUARY 15, 2024

Some of the key benefits of a modern data architecture for regulatory compliance include: Enhanced data governance and compliance: Modern data architecture incorporates data governance practices and security controls to ensure data privacy, regulatory compliance, and protection against unauthorized access or breaches.

Insurance 86

Insurance Banking Data Architecture Data Ingestion 86

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. Accelerated Data Analytics DataOps tools help automate and streamline various data processes, leading to faster and more efficient data analytics.

Data Cleanse 52

Data Cleanse Data Pipeline Data Ingestion Data Validation 52

Data Engineering Weekly

SEPTEMBER 24, 2023

Thoughtworks: Measuring the Value of a Data Catalog The cost & effort value proportion for a Data Catalog implementation is always questionable in a large-scale data infrastructure. Thoughtworks, in combination with Adevinta, published a three-phase approach to measure the value of a data catalog.

Data Engineering 67

Data Engineering Data Engineer Engineering Kafka 67

Data Engineering Weekly

FEBRUARY 25, 2024

link] Berkeley Artificial Intelligence Research (BAIR): The Shift from Models to Compound AI Systems The Berkeley AI Research (BAIR) blog discusses the evolution from focusing on single large language models (LLMs) to developing compound AI systems that integrate multiple components, including LLMs, for superior performance.

Data Engineering 62

Data Engineering Data Engineer Engineering Kafka 62

Cloudera

JULY 17, 2023

The Environmental Health Scorecard We track environment health at the macro level with a dashboard that mirrors our blog series methodology with a few additions. Data Democratization Although we did not blog about data democratization, we find it an important measure of environmental health. Think about that.

Metadata 69

Metadata Government Data Governance Datasets 69

Databand.ai

AUGUST 30, 2023

Data Performance Testing Data performance testing is the process of evaluating the efficiency, effectiveness, and scalability of your data processing systems and infrastructure. To perform data performance testing, you should first establish performance benchmarks and targets for your data processing systems.

Data Cleanse 52

Data Cleanse Metadata High Quality Data Datasets 52

DoorDash Engineering

APRIL 26, 2023

The company is exploring the use of Generative AI, a subset of Artificial Intelligence that generates novel content based on existing data, and how it can be implemented effectively with consideration for the privacy and security of personal information. This reduces manual effort and improves the accuracy and speed of data processing.

Food 98

Food Unstructured Data Deep Learning SQL 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. PII data) of each data product, and the access rights for each different group of data consumers.

Architecture 124

Architecture Metadata Government Kafka 124

Cloudera

FEBRUARY 8, 2021

This is part 2 in this blog series. You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. The first blog introduced a mock connected vehicle manufacturing company, The Electric Car Company (ECC), to illustrate the manufacturing data path through the data lifecycle.

Data Pipeline 116

Data Pipeline Building Manufacturing Data Warehouse 116

Databand.ai

JULY 19, 2023

A Beginner’s Guide [SQ] Niv Sluzki July 19, 2023 ELT is a data processing method that involves extracting data from its source, loading it into a database or data warehouse, and then later transforming it into a format that suits business needs. In this phase, data is collected from various sources.

Data Cleanse 52

Data Cleanse Raw Data Data Storage Data Warehouse 52

Data Engineering Weekly

JULY 23, 2023

This blog post will delve into these questions, tackle common misconceptions, and give you an intuitive understanding of how to think about GPUs. link] Piethein Strengholt: Data Management at Scale Data Mesh is a widely discussed and debated topic on the possibility of decentralized data management at scale.

Data Engineering 52

Data Engineering Data Engineer Engineering Deep Learning 52

Knowledge Hut

NOVEMBER 2, 2023

Azure is being used by businesses for more sophisticated tasks including custom software development, artificial intelligence , and data science in addition to data processing and storage. In this blog, we will learn how to enter the profession as we explore the Azure administrator skills needed to become an Azure Administrator.

Recruitment 52

Recruitment Cloud Computing Certification SQL 52

Knowledge Hut

NOVEMBER 28, 2023

In this article, we will look at 31 different places to find free datasets for data science projects. We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision.

Datasets 96

Datasets Data Science Project Banking 96

Cloudera

NOVEMBER 27, 2023

Flink Forward is a great opportunity to learn about the cutting edge of streaming and stream processing technologies. This blog is a summary of what we observed there for anyone who was unable to attend or just wants to stay on top of what’s happening in streaming. Takeaway No. Takeaway No. Takeaway No.

Kafka 82

Kafka SQL ETL Tools Data Lake 82

Knowledge Hut

DECEMBER 22, 2023

Voice Search Benefits: Improved User Experience Accessibility Hands-free Interaction Faster Search Results Examples: Integrating voice-enabled search boxes or chatbots on websites to allow users to perform voice-based searches. We go over the most essential future trends in this blog. Web Development Trends In 2024 1.

Entertainment 105

Entertainment Utilities Machine Learning AWS 105

Cloudera

JULY 19, 2023

As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. In this blog post, we will highlight the work done recently to improve the performance of Ozone Manager to scale to exabytes of data. The hardware specifications are included at the end of this blog.

Management 70

Management Metadata Datasets Architecture 70

Databand.ai

AUGUST 30, 2023

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

Databand.ai

JULY 19, 2023

This capability is particularly useful in complex data landscapes, where data may pass through multiple systems and transformations before reaching its final destination Impact analysis: When changes are made to data sources or data processing systems, it’s critical to understand the potential impact on downstream processes and reports.

Pipeline-centric 52

Pipeline-centric Data Governance Metadata Government 52