Zalando Engineering

JANUARY 30, 2023

The procedures document the conditions (e.g. When we started in 2019, we first focused on a collection of procedures that were already known, but not consistently documented. We use documentation site built using mkdocs to host the documentation containing a description of the incident process and all playbooks.

Management 57

Management Metadata Software Engineer Software Engineering 57

Snowflake

JULY 10, 2023

Processing files in a Python UDF and Stored Procedure has piqued the interest of our data scientists and paves the way for automation of new, complex data pipelines.” Mike Tuck, Air Pollution Specialist Why unstructured data? Please refer to documentation for more information.

Unstructured Data 40

Unstructured Data Python Process Scala 40

Scott Logic

AUGUST 11, 2023

Search engines that search through websites on the internet are an example of a more general concept called a document search engine. In this context, a document is some structured data, containing a large piece of text (e.g. websites, books, song lyrics, etc) and metadata (e.g. How do we implement the search?

Engineering 52

Engineering AWS Datasets Metadata 52

Cloudera

JUNE 25, 2021

Using easy-to-define policies, Replication Manager solves one of the biggest barriers for the customers in their cloud adoption journey by allowing them to move both tables/structured data and files/unstructured data to the CDP cloud of their choice easily. The Replication Manager support matrix is documented in our public docs.

Cloud 69

Cloud Data Lake Cloud Storage Metadata 69

Ascend.io

JULY 19, 2023

Establish standardized processes and guidelines for curating data products. To ensure consistency in the data product definitions across domains, these guidelines should at least cover: Metadata standards: Define a standard set of metadata to accompany every data product. Train domain teams in these processes.

Data Governance 40

Data Governance Government Metadata Data 40

Striim

JANUARY 4, 2023

Data contracts tackle this uncertainty and end assumptions by creating a formal agreement. This agreement contains a schema that describes and documents data, which determines who can expose data from your service, who can consume your data, and how you can manage your data. What are data contracts?

PostgreSQL 52

PostgreSQL Data Warehouse Data Lake Data 52

Hepta Analytics

FEBRUARY 14, 2022

Disadvantages of a data lake are: Can easily become a data swamp data has no versioning Same data with incompatible schemas is a problem without versioning Has no metadata associated It is difficult to join the data Data warehouse stores processed data, mostly structured data.

Data Ingestion 52

Data Ingestion Data Engineering Data Engineer Engineering 52

Monte Carlo

NOVEMBER 20, 2023

As your datasets start to grow beyond what can be manually inspected, there’s a transition to using dbt for more structured data testing. Column-level tests are manually added to validate data integrity and ensure specific data quality standards.

Government 69

Government Data Data Governance Datasets 69

Rockset

FEBRUARY 21, 2019

PDFs are the de facto standard for distributing and sharing fixed-layout documents today. Which is a great reason for Rockset to support SQL queries on PDF files, in our mission to make data more usable to everyone. from the document along with the text. Lots of valuable information finds its way into all manner of PDF files.

SQL 52

SQL Metadata Structured Data IT 52

ProjectPro

NOVEMBER 15, 2021

With SQL, machine learning, real-time data streaming, graph processing, and other features, this leads to incredibly rapid big data processing. DataFrames are used by Spark SQL to accommodate structured and semi-structured data. For documentation and contribution insights: [link] 17.

Big Data 52

Big Data Project Metadata Programming Language 52

Towards Data Science

MARCH 5, 2024

The storage system is using Capacitor, a proprietary columnar storage format by Google for semi-structured data and the file system underneath is Colossus, the distributed file system by Google. More information about this can be found in the official search index documentation. This can be accessed via the INFORMATION_SCHEMA.

Bytes 71

Bytes Google Cloud Cloud Storage Utilities 71

Monte Carlo

APRIL 1, 2021

Data Catalogs Can Drown in a Data Lake Although exceptionally flexible and scalable, data lakes lack the organization necessary to facilitate proper metadata management and data governance. Data discovery tools and platforms can help. Image courtesy of Adrian on Unsplash.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Data Engineering Weekly

MARCH 24, 2023

About Schemata Schemata is a schema modeling framework for decentralized domain-driven ownership of data. Schemata combine a set of standard metadata definitions for each schema & data field and a scoring algorithm to provide a feedback loop on how efficient the data modeling of your data warehouse is.

Engineering 67

Engineering Data Transportation Database 67

Monte Carlo

JULY 10, 2023

Data sampling If you’re working with large data sets where it’s impractical to evaluate every attribute or record, you can systematically sample your data set to estimate completeness. Be sure to use random sampling to select representative subsets of your data.

Data Collection 40

Data Collection Data Governance Government Data 40

Monte Carlo

JUNE 14, 2023

Data observability platforms reduce your data downtime up to 80% and make your data engineers 30% more time efficient by replacing static, cumbersome data testing with machine learning models that can help detect, resolve, and prevent data issues. Let the data drive the data pipeline architecture.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

Confluent

AUGUST 29, 2019

Instead of storing tables and columns, Neo4j represents all data as a graph, meaning that the data is a set of nodes with labels and relationships. Nodes are like our data entities (in this example, we use Person ). This approach to structuring data is called the property graph model.

Kafka 55

Kafka Process Algorithm Cloud 55

Rockset

DECEMBER 22, 2020

The reason it’s so popular is because of how it indexes data so it’s efficient for search. However, this comes with a cost in that joining documents is less efficient. There are ways to build relationships in Elasticsearch documents, most common are: nested objects, parent-child joins, and application side joins.

SQL 40

SQL Data MongoDB Aggregated Data 40

ProjectPro

AUGUST 21, 2015

Hadoop vs RDBMS Criteria Hadoop RDBMS Datatypes Processes semi-structured and unstructured data. Processes structured data. Schema Schema on Read Schema on Write Best Fit for Applications Data discovery and Massive Storage/Processing of Unstructured data. are all examples of unstructured data.

Hadoop 40

Hadoop Big Data Metadata Unstructured Data 40

ProjectPro

APRIL 4, 2015

” With the increasing demand for Hadoop for Big Data related issues, the prediction by Gartner is ringing true. Document each and every step of your efforts in the Hadoop Developer Resume This is possibly one of the most important areas where you should focus on. Process Unstructured Data. Centralized Job Distribution.

Hadoop 40

Hadoop Big Data Recruitment Java 40

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

AltexSoft

JUNE 26, 2023

Data collection revolves around gathering raw data from various sources, with the objective of using it for analysis and decision-making. It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

ProjectPro

OCTOBER 20, 2021

Data Ingestion Exploratory Data Analysis (using RAD Tools) Validation Data Wrangling Data Splitting Model: Machine Learning Pipelines Every team enjoys experimentation with data. A feature store is a modern, elegant solution to leverage data prep work from previous runs or other teams as well.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

DECEMBER 10, 2021

A blob within the container- A blob is a Binary Large Object (BLOB), which can be any form of file or document of any size. Azure Table Storage- Azure Tables is a NoSQL database for storing structured data without a schema. It lets you store organized NoSQL data in the cloud and provides a schemaless key/attribute storage.

BI 52

BI Cloud Computing SQL Database 52

Precisely

OCTOBER 5, 2023

Determine what data you’ll need Once you’ve determined the use case, brainstorm and dig deeper into what your end goals are and what you need to know to get there. For example, will you need structured data, unstructured, or a combination?

Raw Data 69

Raw Data Insurance Datasets Telecommunication 69

AltexSoft

NOVEMBER 1, 2023

NER for structuring unstructured data NER plays a pivotal role in converting unstructured text into structured data. Robotic process automation in 10 minutes or less In the corporate ecosystem, automated data entry augmented with NER is revolutionizing operations. Tokenization.

Deep Learning 52

Deep Learning Machine Learning Datasets Algorithm 52

Netflix Tech

OCTOBER 31, 2018

The curious reader might have noticed that a majority of these characteristics relate to properties of the data managed by NMDB. Specifically, structured data that is modeled around the notion of a media timeline, with additional spatial properties. Hence, we designed it primarily around the notion of timed events.

Media 54

Media Metadata Data MongoDB 54

AltexSoft

JULY 18, 2023

Spark SQL brings native support for SQL to Spark and streamlines the process of querying semistructured and structured data. When transformations are applied to RDDs, Spark records the metadata to build up a DAG, which reflects the sequence of computations performed during the execution of the Spark job.

Big Data 52

Big Data Data Process Process Hadoop 52

ProjectPro

AUGUST 24, 2021

Google BigQuery receives the structured data from workers. Finally, the data is passed to Google Data studio for visualization. It supports the storage of large data volumes and allows users to perform different computation tasks on that data. Engage with different teams like data science tean=ms, etc.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

AltexSoft

NOVEMBER 10, 2021

In a nutshell, the lakehouse system leverages low-cost storage to keep large volumes of data in its raw formats just like data lakes. At the same time, it brings structure to data and empowers data management features similar to those in data warehouses by implementing the metadata layer on top of the store.

Architecture 52

Architecture Data Lake Data Warehouse Metadata 52

AltexSoft

MARCH 2, 2023

Data modeling involves creating a conceptual representation of data objects and their relationships to each other, as well as the rules governing those relationships. To design an effective data governance program, it’s crucial to choose an operational model that fits your business size and structure.

Data Governance 52

Data Governance Government Healthcare Programming 52

AltexSoft

JULY 29, 2022

How HDFS master-slave structure works. A master node called NameNode maintains metadata with critical information, controls user access to the data blocks, makes decisions on replications, and manages slaves. You can change this parameter manually but the system won’t be able to effectively deal with myriads of tiny data pieces.

Hadoop 59

Hadoop Big Data Google Cloud NoSQL 59

AltexSoft

JULY 19, 2022

So, to avoid any confusion, please be aware that data mesh is NOT. a data fabric, which is a single environment consisting of a unified architecture, and services or technologies running on that architecture. ” Data as a product principle. Policies secure access to the data.

Architecture 52

Architecture Data Lake Medical Datasets 52

AltexSoft

MAY 12, 2023

Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. Unlike structured data, which is organized into neat rows and columns within a database, unstructured data is an unsorted and vast information collection.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

OCTOBER 7, 2021

Those decentralization efforts appeared under different monikers through time, e.g., data marts versus data warehousing implementations (a popular architectural debate in the era of structured data) then enterprise-wide data lakes versus smaller, typically BU-Specific, “data ponds”.

Architecture 123

Architecture Metadata Government Kafka 123

phData: Data Engineering

JULY 18, 2023

Demands on the cloud data warehouse are also evolving to require it to become more of an all-in-one platform for an organization’s analytics needs. Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

AltexSoft

MARCH 30, 2023

What is Databricks Databricks is an analytics platform with a unified set of tools for data engineering, data management , data science, and machine learning. It combines the best elements of a data warehouse, a centralized repository for structured data, and a data lake used to host large amounts of raw data.

Scala 64

Scala Data Lake BI Google Cloud 64