Cloudera

NOVEMBER 13, 2020

The reality is that data warehousing contains a large variety of queries both small and large; there are many circumstances where Impala queries small amounts of data; when end users are iterating on a use case, filtering down to a specific time window, working with dimension tables, or pre-aggregated data.

Metadata 143

Metadata SQL Coding Database 143

Netflix Tech

OCTOBER 8, 2024

Building on these foundational abstractions, we developed the TimeSeries Abstraction  — a versatile and scalable solution designed to efficiently store and query large volumes of temporal event data with low millisecond latencies, all in a cost-effective manner across various use cases. For example: {“device_type”: “ios”}.

Bytes 103

Bytes Datasets Metadata Data 103

Lyft Engineering

JUNE 28, 2023

The Event Driven Decisions capability in particular turned out to be general enough as to be applicable to a wide range of use cases. At the time of writing, a Mapping team is working to utilize theEvent Driven Decisions product to rebuild Lyft’s Traffic infrastructure by aggregating data per geohash and applying a model.

Machine Learning 124

Machine Learning Building Kafka Metadata 124

ProjectPro

FEBRUARY 8, 2023

Application programming interfaces (APIs) are used to modify the retrieved data set for integration and to support users in keeping track of all the jobs. Users can schedule ETL jobs, and they can also choose the events that will trigger them. Then, Glue writes the job's metadata into the embedded AWS Glue Data Catalog.

AWS 98

AWS Scala Metadata Data Lake 98

Cloudera

JUNE 29, 2023

Incorporate data from novel sources — social media feeds, alternative credit histories (utility and rental payments), geo-spatial systems, and IoT streams — into liquidity risk models. Apply predictive-analytic and ML techniques to this data to create more accurate profiles and proactively identify high-risk customers.

Data Architecture 85

Data Architecture Architecture Management Banking 85

LinkedIn Engineering

DECEMBER 19, 2023

Our RU framework ensures that our big data infrastructure, which consists of over 55,000 hosts and 20 clusters holding exabytes of data, is deployed and updated smoothly by minimizing downtime and avoiding performance degradation. This metadata includes the namespace, file permissions, and the mapping of data blocks to datanodes.

Big Data 92

Big Data Hadoop Metadata Data 92

DoorDash Engineering

APRIL 12, 2023

As we mentioned in our previous blog , we began with a ‘Bring Your Own SQL’ method, in which data scientists checked in ad-hoc Snowflake (our primary data warehouse) SQL files to create metrics for experiments, and metrics metadata was provided as JSON configs for each experiment.

SQL 83

SQL Metadata Raw Data Government 83

Netflix Tech

NOVEMBER 20, 2023

As we know, an iceberg table contains a list of snapshots with a set of metadata data. Snapshots include references to the actual immutable data files. A snapshot can contain data files from different partitions. The graph above shows that s0 contains data for Partition P0 and P1 at T1.

Process 95

Process Data Pipeline Datasets Aggregated Data 95

AltexSoft

OCTOBER 21, 2022

This scenario involves three main characters — publishers, subscribers, and a message or event broker. A publisher (say, telematics or Internet of Medical Things system) produces data units, also called events or messages , and directs them not to consumers but to a middleware platform — a broker. Kafka cluster and brokers.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Lyft Engineering

SEPTEMBER 27, 2022

The very first version (see Figure 1) was designed to consume events, convert data to ML features, orchestrate model executions, and sync decision variables to their respective services. This pipeline ingests tens of millions of events per second and processes them into machine learning features.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

Airbnb Tech

APRIL 30, 2021

Minerva takes fact and dimension tables as inputs, performs data denormalization, and serves the aggregated data to downstream applications. Metrics Definition : Minerva defines key business metrics, dimensions, and other metadata in a centralized Github repository that can be viewed and updated by anyone at the company.

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52

ProjectPro

NOVEMBER 15, 2021

It serves as a distributed processing engine for both categories of data streams: unbounded and bounded. Support for stream and batch processing, comprehensive state management, event-time processing semantics, and consistency guarantee for the state are just a few of Flink's capabilities.

Big Data 52

Big Data Project Metadata Programming Language 52

AltexSoft

MARCH 14, 2023

Moreover, over 20 percent of surveyed companies were found to be utilizing 1,000 or more data sources to provide data to analytics systems. These sources commonly include databases, SaaS products, and event streams. Databases store key information that powers a company’s product, such as user data and product data.

IT 59

IT Data Warehouse Data Governance Data Lake 59

ProjectPro

OCTOBER 28, 2015

Sqoop is an effective hadoop tool for non-programmers which functions by looking at the databases that need to be imported and choosing a relevant import function for the source data. Once the input is recognized by Sqoop hadoop, the metadata for the table is read and a class definition is created for the input requirements.

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

AltexSoft

SEPTEMBER 21, 2023

Analysis of logs, metrics, and security events. With Elasticsearch, you can aggregate and analyze large streams of logs, metrics, and security events in near real-time, making it indispensable for system monitoring and security information and event management (SIEM). Real-time behavior modeling with ML.

Engineering 52

Engineering NoSQL Java Programming Language 52

AltexSoft

DECEMBER 23, 2022

You receive a notification each time new data is added to the system or is changed so that you can decide whether to load it. To make this happen, a source system must be equipped with an automation mechanism or have an event-driven structure with webhooks. Aggregation. You convert data to a consistent format or structure.

Process 52

Process Building Raw Data Data Lake 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Picnic Engineering

SEPTEMBER 8, 2022

Quick re-cap: the purpose of the internal pipeline is to deliver data from dozens of Picnic back-end services such as warehousing, machine learning models, customers and order status updates. The data is loaded into Snowflake, Picnic’s single source of truth Data Warehouse (DWH). Yet, some messages are destined for the DWH only.

Kafka 52

Kafka Metadata AWS Java 52

ProjectPro

OCTOBER 29, 2021

Before moving on to the steps to improve data quality, let us spend a moment in this section to understand just what it is we seek to change. Accuracy Accuracy refers to how well the information recorded reflects a real event or object. You must also retrieve metadata regarding field types, roles, and descriptions.

Data Mining 52

Data Mining Datasets Machine Learning Metadata 52