Data Engineering Podcast

JUNE 29, 2020

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management What are the pieces of advice that you wish you had received early in your career of data engineering? If you hand a book to a new data engineer, what wisdom would you add to it?

Data Collection 100

Data Collection Management High Quality Data Metadata 100

Lyft Engineering

OCTOBER 3, 2023

We can also evaluate timeliness of partitions and table landing times in data orchestration. Finally, as the subject of this blog post, we can assess data quality via batch compute analytics on our data warehouse, providing a comprehensive albeit slower evaluation compared to the previously mentioned methods.

Big Data 84

Big Data Metadata Data Warehouse Data 84

Cloudera

JUNE 15, 2021

This blog will walk through how to deploy a Private Cloud Base cluster, with security, with a minimum of human interaction. cloudera_manager_options: CUSTOM_BANNER_HTML: "Cloudera Blog Deployment Example". We can run the playbook in stages using some specific tags , or just run the whole thing end to end. Running the playbook.

Cloud 83

Cloud AWS Kafka Management 83

phData: Data Engineering

OCTOBER 12, 2022

In this blog post, we’ll dive into six of the most powerful dbt Cloud features and many others that you probably don’t know about. It allows you to tag which final models are being used for a particular data product or dashboard. However, dbt Cloud offers you much more than that.

Cloud 52

Cloud Metadata SQL Data Warehouse 52

DareData

NOVEMBER 28, 2023

It further enables better collaboration and enhances the overall efficiency and effectiveness of Data Science teams, helping them leave the “Notebook” limbo [1] ! For these reasons, this blog is intended to be an educational introduction to the main ideas behind MLOps, while providing examples of implementation - let’s start!

Data Science 52

Data Science Medical Machine Learning Data 52

Knowledge Hut

JANUARY 12, 2024

Data Engineer Data Engineers' responsibility is to process raw data and extract useful information, such as market insights and trend details, from the data. Education requirements: Bachelor's degrees in computer science or a related field are common among data engineers.

Cloud Computing 98

Cloud Computing Cloud Computer Science Programming Language 98

AltexSoft

AUGUST 25, 2021

Information from an invoice is extracted, tagged, and structured. For example, tokenization (splitting text data into words) and part-of-speech tagging (labeling nouns, verbs, etc.) Tokenization, part-of-speech tagging, and parsing (describing the syntactic structure of a sentence) are some forms of annotations.

Process 139

Process Deep Learning Datasets Machine Learning 139

Cloudera

JANUARY 20, 2021

The missing chapter is not about point solutions or the maturity journey of use cases, the missing chapter is about the data, it’s always been about the data, and most importantly the journey data weaves from edge to artificial intelligence insight. . Fig 2: Data collection flow diagram. Factory ID. Machine ID.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

phData: Data Engineering

DECEMBER 16, 2021

In our previous blog in this series , we spent a lot of time exploring why a data catalog is valuable and who you might need to support it. With that background information in mind, we’re ready to take a look at some actual tools and properly uncover what’s the best data catalog for your business.

Metadata 52

Metadata Datasets ETL Tools Cloud 52

Knowledge Hut

JULY 28, 2023

Data Labeling is the process of assigning meaningful tags or annotations to raw data, typically in the form of text, images, audio, or video. These labels provide context and meaning to the data, enabling machine learning algorithms to learn and make predictions. What is Data Labeling for Machine Learning?

Machine Learning 52

Machine Learning Process Datasets Raw Data 52

Monte Carlo

APRIL 28, 2022

You also don’t want to reach the point where the time your data engineers are optimizing code is more expensive than the jobs themselves. Using query tags The QUERY_TAG can be used to tag queries and SQL statements executed within a session, oftentimes related to the type of workload.

Data Warehouse 52

Data Warehouse Bytes SQL AWS 52

Advancing Analytics: Data Engineering

MAY 2, 2019

In the last Docker for Data Science blog we looked at where Docker came from and why it is important. In this blog we will get Docker installed and configured on either Windows or Mac. In the last blog we discussed how a container is a running version of an image. The :latest is a tag. Installing Docker.

Data Science 52

Data Science Data Accessible Accessibility 52

Cloudera

NOVEMBER 12, 2020

First, they use WXM to create a custom workload view for each critical LoB user who can be tagged as a perpetual VIP (VIP workloads that run routinely). The post Extreme data center pressure? appeared first on Cloudera Blog. Their business needs are supported and their most mission-critical SLAs can be met with confidence.

Cloud 102

Cloud Data Warehouse Banking Data 102

Cloudera

SEPTEMBER 17, 2018

Here are some highlights: Data Ingest. Most data is ingested through data engineering pipelines. Once you found your datasets of interest, there are easy ways to tag them, so that you at next visit can find them immediately – the search functionality also covers tags! Query Design.

Data Warehouse 52

Data Warehouse SQL Portfolio MySQL 52

Monte Carlo

MARCH 30, 2022

So even with robust testing and other approaches, why do so many data quality issues go under the radar, only to surface hours, days, or even weeks later by stakeholders? Okra recipes aside, the same can be true with data teams. Lack of visibility into incident triage Incident triage for a data quality issue.

Data Warehouse 52

Data Warehouse Data Machine Learning Data Engineering 52

ProjectPro

OCTOBER 18, 2021

Build a Sorting, Categorizing, and Tagging System You can create crowd-sourced software systems that allow categorizing, sorting, and tagging various forms of data (structured or unstructured). Many organizations like Yelp.com collect and provide crowd-sourced data of all local businesses. Source: Moneyexcel 4.

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Rockset

DECEMBER 22, 2020

The important part is the script tag within this HTML file that sends the data to our API. <script> new Vue({ el: "#app", data: { results: [], query: "", }, methods: { // make request to our API passing in query string search: function () { axios.get("[link] + this.query).then((response) The code is shown below. <script>

SQL 40

SQL Data MongoDB Aggregated Data 40

RandomTrees

MARCH 22, 2024

Tagging and Categorization : Delimited string columns are commonly used for tagging or categorizing data. By splitting these tags into rows, we can analyze the distribution of tags, identify trends, and perform targeted analysis based on specific tags.

Media 52

Media Healthcare Datasets Electronics 52

Cloudera

OCTOBER 18, 2022

This enabled us to ingest data faster, more reliably, and in deeper detail, while saving on licenses. The solution was prototyped in Cloudera Data Science Workbench (CDSW) , and is built using Python and PySpark, which is scheduled using Cloudera Data Engineering.

Cloud 85

Cloud IT Data Warehouse AWS 85

Cloudera

NOVEMBER 19, 2020

These feeds are then enriched using external data sources (e.g., telemetry events, asset information, and GeoIP) and cleansed, organized, and prepared for machine learning using Cloudera Data Engineering. These scores enable a concept called threshold-based anomaly tagging. Learn more: Fraud Prevention Resource Kit.

Government 115

Government Machine Learning Algorithm Raw Data 115

Snowflake

JUNE 28, 2023

Since its launch two years ago, Snowpark has been empowering data scientists, data engineers, and application developers to streamline their architectures, accelerate development, and boost the performance of data engineering and ML/AI workloads on Snowflake.

Python 52

Python Accessible Accessibility Pipeline-centric 52

Monte Carlo

OCTOBER 10, 2023

If the terms “ data observability ” and “ data quality ” sound unfamiliar to you, you might want to check in on your data engineering team. The same holds true for your data. Just like bad food in a restaurant, data quality issues erode trust in your data.

Data 59

Data Data Engineering Data Engineer Food 59

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. Enter Snowpark !

Engineering 82

Engineering Raw Data Data Science Scala 82

Cloudera

AUGUST 24, 2022

It unifies self-service data science and data engineering in a single, portable service as part of an enterprise data cloud for multi-function analytics on data anywhere. Input the name of your image, along with repo location and tags. Prerequisites. docker.io). Click on +Add Runtime. Next Steps.

Machine Learning 79

Machine Learning Building Metadata Programming Language 79

Cloudera

SEPTEMBER 28, 2021

We covered the value this new capability provides in a previous blog. RAZ for S3 and RAZ for ADLS introduce FGAC and Audit on CDP’s access to files and directories in cloud storage making it consistent with the rest of the SDX data entities. Let’s say that both Jon and Remi belong to the Data Engineering group.

Accessible 61

Accessible Accessibility Cloud Cloud Storage 61

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? The best way to achieve this is through good data accessibility processes.

Transportation 52

Transportation Data Lake Data Warehouse Data 52

Databand.ai

JULY 28, 2022

In general, it makes it possible to identify errors in data, reduce the risk associated with system and process changes, and increase trust in data. All of these are essential at a time when data plays such an integral role in business outcomes and decision-making.

Metadata 52

Metadata Data Lake Datasets Data Warehouse 52

Cloudera

SEPTEMBER 9, 2022

analyst Sumit Pal, in “Exploring Lakehouse Architecture and Use Cases,” published January 11, 2022: “Data lakehouses integrate and unify the capabilities of data warehouses and data lakes, aiming to support AI, BI, ML, and data engineering on a single platform.” According to Gartner, Inc.

Architecture 97

Architecture Metadata Unstructured Data Machine Learning 97

phData: Data Engineering

DECEMBER 16, 2021

How to set goals for your data catalog How to establish business drivers for your data catalog What value does a data catalog provide your business? In blog 2 , we’ll explore: Who are the users of a data catalog? In blog 2 , we’ll explore: Who are the users of a data catalog?

Metadata 52

Metadata Datasets Data Accessible 52

Snowflake

NOVEMBER 2, 2023

Data engineers and data scientists can take advantage of Snowflake’s fast engine with secure access to open source libraries for processing images, video, audio and more. For public preview or generally available features, please read the release notes and documentation to learn more and get started.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

AltexSoft

NOVEMBER 7, 2022

You can hardly compare data engineering toil with something as easy as breathing or as fast as the wind. The platform went live in 2015 at Airbnb, the biggest home-sharing and vacation rental site, as an orchestrator for increasingly complex data pipelines. How data engineering works. What is Apache Airflow?

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

Ascend.io

JUNE 8, 2023

However, transforming data into a product so that it can deliver outsized business value requires more than just a mission statement; it requires a solid foundation of technical capabilities and a truly data-centric culture. Data stewards are thus the best contributors to the content of data catalogs.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

ProjectPro

AUGUST 16, 2021

FAQs on Machine Learning Projects for Resume Machine Learning Projects for Resume - A Must-Have to Get Hired in 2021 Machine Learning and Data Science have been on the rise in the latter part of the last decade. If a text matches a certain number of threshold rules, it is tagged and spam, thus dropped.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

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

Confluent

FEBRUARY 22, 2019

Our quickly expanding business also means our platform needs to keep ahead of the curve to accommodate the ever-growing volumes of data and increasing complexity of our systems. The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices.

Kafka 80

Kafka Programming Language Metadata Data 80

Airbnb Tech

APRIL 13, 2021

Project Name  — This is a user-defined tag which is surfaced in the CUR data. For example, the Viaduct project has its own tag. Achieving Insights and Savings with Cost Data was originally published in The Airbnb Tech Blog on Medium, where people are continuing the conversation by highlighting and responding to this story.

AWS 52

AWS Raw Data Amazon Web Services Cloud 52