Workfall

JUNE 12, 2023

So, embrace the power of Change Data Capture, and embark on a captivating journey where the magic of real-time data awaits. In this blog, we will cover: What Is CDC and Its Benefits? Types of CDC Audit Columns: This method involves using designated columns within tables to track incremental changes.

Telecommunication 80

Telecommunication Metadata Healthcare Finance 80

Data Engineering Weekly

FEBRUARY 18, 2024

I believe the data ownership problem is much deeper than simple metadata management. Data Ownership is the fundamental construct for Data Products. In a recent poll, 75% of data practitioners say either they are implementing or are thinking of implementing Data Products.

Data Engineering 62

Data Engineering Data Engineer Engineering Data 62

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. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 109

Data Science Cloud Hadoop Metadata 109

AltexSoft

FEBRUARY 11, 2023

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? To get a better understanding of a data architect’s role, let’s clear up what data architecture is.

Data Architect 87

Data Architect Certification Generalist Big Data 87

LinkedIn Engineering

DECEMBER 12, 2023

We are excited to announce the various contributions we have made to provide a privacy-by-design approach to measure and mitigate reidentification risks. This metadata is determined as part of an onboarding process with each new application where we determine which algorithms should be used for each type of query.

Algorithm 77

Algorithm Metadata SQL Datasets 77

Cloudera

JUNE 18, 2022

The first generation of the Hive Metastore attempted to address the performance considerations to run SQL efficiently on a data lake. It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently.

Data Lake 90

Data Lake Data Warehouse BI SQL 90

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Sure, there’s a need to abstract the complexity of data processing, computation and storage.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Knowledge Hut

SEPTEMBER 29, 2023

Moreover, what benefits can you expect from a career in Azure Data Engineering? This blog aims to answer these questions, providing a straightforward and professional insight into the world of Azure Data Engineering. Join us on this journey through the exciting realm of Azure Data Engineering.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Data Engineering Weekly

NOVEMBER 6, 2022

A data contract is a continuous and collaborative system because the business context and requirements won’t be static. I plan to write a series of blogs on Schemata and Data Contract in the coming weeks. Martin kindly stepped in for me to give the update for my promised blog posts.

Data Engineering 40

Data Engineering Data Engineer Engineering Machine Learning 40

Data Engineering Podcast

JUNE 29, 2020

This was a great conversation about the complexities of working in a niche domain of data analysis and how to build a pipeline of high quality data from collection to analysis. Can you describe how your overall data management system is architected? Can you describe how your overall data management system is architected?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Netflix Tech

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. Now let’s look at how we designed the tracing infrastructure that powers Edgar. We could also get contextual information about the streaming session by joining relevant traces with account metadata and service logs.

Building 93

Building Transportation Metadata Java 93

Cloudera

JANUARY 5, 2023

With the right tools in place, distilling actionable insights from data to achieve business objectives or unlock new revenue streams is easily achievable for organizations of all sizes across industries, especially with the availability of self-serve functionalities that do not require specialized ops or cloud expertise.

Banking 52

Banking Machine Learning Insurance Data Architecture 52

Cloudera

SEPTEMBER 1, 2020

The Data Discovery and Exploration (DDE) template in CDP Data Hub was released as Tech Preview a few weeks ago. DDE is a new template flavor within CDP Data Hub in Cloudera’s public cloud deployment option (CDP PC). It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications.

Cloud Storage 67

Cloud Storage Unstructured Data AWS Analytics Application 67

LinkedIn Engineering

JANUARY 19, 2024

Data consistency, feature reliability, processing scalability, and end-to-end observability are key drivers to ensuring business as usual (zero disruptions) and a cohesive customer experience. With our new data processing framework, we were able to observe a multitude of benefits, including 99.9%

Recruitment 88

Recruitment Data Process Process Kafka 88

Cloudera

SEPTEMBER 17, 2020

Cloudera Data Visualization is built on three simple constructs: Data connections – Allows you to set up connections to any and all supported compute engines, be it SQL (Impala, Hive, MySQL), events and time series data (Druid or Impala over Kudu), unstructured data (Solr), or ML workloads (Spark et al), whatever you prefer.

Unstructured Data 80

Unstructured Data Data Warehouse Pharmaceutical MySQL 80

Databand.ai

JUNE 28, 2023

Most were designed for the best-case scenario. Here is a more detailed explanation of how data observability works within the data pipeline: Data ingestion : Observability begins from the point where data is ingested into the pipeline. is a unified data observability platform built for data engineers.

Data Pipeline 98

Data Pipeline Data Engineering Data Engineer Engineering 98

Cloudera

AUGUST 21, 2020

The governance aspect is perhaps even more important and businesses need to be able to understand where the data comes from. Data lineage, personally identifiable information or PPI and metadata all fall under a broad data governance banner which is critically important in terms of what needs to be protected and mapped out.

Banking 60

Banking Kafka Cloud Storage Government 60

Knowledge Hut

JULY 26, 2023

Database applications also help in data-driven decision-making by providing data analysis and reporting tools. In this blog, we will deep dive into database system applications in DBMS, and their components and look at a list of database applications. InfluxDB): Time series databases are designed to work with time-stamped data.

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

AUGUST 30, 2018

Cloud service architecture – storing and accessing data and services over the Internet instead of your data center or local computer’s hard drive. Machine learning driven business – A focus on the design of systems that can learn from and make decisions and predictions based on data.

Unstructured Data 40

Unstructured Data Machine Learning Data Warehouse BI 40

Rockset

MARCH 18, 2024

That’s because successfully deploying an AI application requires retrieval augmented generation or “RAG” pipelines, processing real-time data streams, chunking data, generating embeddings, storing embeddings and running vector search. They also need to be designed for real-time updates. What is RAG?

Cloud 64

Cloud Building Metadata Kafka 64

Maxime Beauchemin

JANUARY 7, 2018

Batch data processing  — historically known as ETL —  is extremely challenging. In this post, we’ll explore how applying the functional programming paradigm to data engineering can bring a lot of clarity to the process. Late arriving facts Late arriving facts can be problematic with a strict immutable data policy.

Data Engineering 183

Data Engineering Data Engineer Data Process Process 183

Cloudera

JULY 19, 2023

It is a replicated, highly-available service that is responsible for managing the metadata for all objects stored in Ozone. As Ozone scales to exabytes of data, it is important to ensure that Ozone Manager can perform at scale. The hardware specifications are included at the end of this blog.

Management 69

Management Metadata Datasets Architecture 69

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. This blog presents some of the most unique and innovative AWS projects from beginner to advanced levels. Real-time Data Processing Application 7.

AWS 52

AWS Project Amazon Web Services Cloud Computing 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. 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

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

Netflix Tech

DECEMBER 3, 2022

Its main purpose is to enable easy unit testing of your data pipelines, but it can technically be used in any other situations as a readable data format for small data sets. All the above commands are very likely to be described in separate future blog posts, but right now let’s focus on the dataflow sample command.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Netflix Tech

DECEMBER 21, 2020

On the other hand, these optimizations themselves need to be sufficiently inexpensive to justify their own processing cost over the gains they bring. We built AutoOptimize to efficiently and transparently optimize the data and metadata storage layout while maximizing their cost and performance benefits.

Data Warehouse 81

Data Warehouse Metadata Algorithm Data 81

RandomTrees

APRIL 18, 2024

Understanding the Challenge Informatica PowerCenter has long been a favoured tool for Extract, Transform, Load (ETL) processes , offering a robust graphical interface for designing workflows and transformations. Having a clear understanding of the source data structures, transformation logic, and target requirements is crucial.

Coding 52

Coding Retail Metadata Python 52

Cloudera

MARCH 23, 2022

Iceberg is designed to be open and engine agnostic allowing datasets to be shared. The table information (such as schema, partition) is stored as part of the metadata (manifest) file separately, making it easier for applications to quickly integrate with the tables and the storage formats of their choice. Change data capture (CDC).

Metadata 88

Metadata Data Architecture BI Machine Learning 88

Netflix Tech

NOVEMBER 20, 2023

In this blog post, we talk about the landscape and the challenges in workflows at Netflix. We will show how we are building a clean and efficient incremental processing solution (IPS) by using Netflix Maestro and Apache Iceberg. IPS enables users to continue to use the data processing patterns with minimal changes.

Process 84

Process Data Pipeline Datasets SQL 84

Databand.ai

AUGUST 30, 2023

These experts will need to combine their expertise in data processing, storage, transformation, modeling, visualization, and machine learning algorithms, working together on a unified platform or toolset.

Data Governance 40

Data Governance Data Cleanse Government Data Pipeline 40

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

Cloudera

AUGUST 16, 2021

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud. The need for a cloud-native Apache NiFi service.

Cloud 118

Cloud Unstructured Data Utilities Metadata 118

AltexSoft

NOVEMBER 7, 2022

Before we start, all those who are new to data engineering can watch our video explaining its general concepts. How data engineering works. Apache Airflow is an open-source Python -based workflow orchestrator that enables you to design, schedule, and monitor data pipelines. Metadata database. Web App Development.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

RandomTrees

MARCH 22, 2024

Snowflake, a popular cloud-based data warehousing platform, offers a powerful solution to this problem through its versatile SQL capabilities. In this article, we will explore how Snowflake enables the splitting of a delimited string column into rows, facilitating more efficient data processing and analysis.

Media 52

Media Healthcare Datasets Electronics 52

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

DareData

AUGUST 12, 2021

One of the main reasons is that there are several pitfalls that are easy to fall into, which only become apparent down the road when your data increases in size or number of users. What is a data ecosystem? Then, some automatic process generates the documentation directly from the code and code comments.

Transportation 52

Transportation Data Lake Data Warehouse Data 52