ProjectPro

DECEMBER 7, 2021

Data pipelines are a significant part of the big data domain, and every professional working or willing to work in this field must have extensive knowledge of them. As data is expanding exponentially, organizations struggle to harness digital information's power for different business use cases. What is a Big Data Pipeline?

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Cloudera

OCTOBER 11, 2022

Most AI apps and ML models need different types of data – real-time data from devices, equipment, and assets and traditional enterprise data – operational, customer, service records. . But it isn’t just aggregating data for models. Data needs to be prepared and analyzed.

Data Science 94

Data Science Aggregated Data Data Consulting 94

Lyft Engineering

NOVEMBER 29, 2023

Druid leverages the concept of segments , a unit of storage that allows for parallel querying and columnar storage, complemented with efficient compression and data retrieval. At Lyft, we used rollup as a data preprocessing technique which aggregates and reduces the granularity of data prior to being stored in segments.

Kafka 106

Kafka Data Ingestion Datasets Architecture 106

Data Engineering Weekly

SEPTEMBER 26, 2024

For example, GDPR and HIPAA require strict access controls to protect sensitive data. Using Role-Based Access Control (RBAC) or Attribute-Based Access Control (ABAC) in LakeHouse architectures helps enforce this model. Access expands to data analysts and scientists, though sensitive elements should remain masked or anonymized.

Systems 68

Systems Engineering Data Warehouse Architecture 68

Edureka

AUGUST 19, 2024

It will help to detect an issue fast and solve it right before the end-users are affected by aggregating data on application behavior. These patterns will form a foundation for the construction of powerful cloud architectures, improving the resilience of your DevOps process and helping to increase efficiency.

Engineering 98

Engineering Programming Language Python Cloud 98

Netflix Tech

DECEMBER 10, 2018

In this post, we’ll share our journey in updating our front-end architecture and our learnings in introducing GraphQL into the Marketing Tech system. Secondly, we utilize various signals and aggregate data such as understanding of content popularity on Netflix to enable highly relevant ads.

Coding 111

Coding Aggregated Data Utilities Architecture 111

Cloudera

FEBRUARY 9, 2023

The sudden failing of a complex data pipeline can lead to devastating consequences — especially if it goes unnoticed. Architecture First, we would like to introduce the architecture of job notifications. In the figure below, you can see the architecture of a project from the perspective of job notifications.

SQL 79

SQL Kafka Aggregated Data Architecture 79

Confluent

FEBRUARY 6, 2019

The serving and monitoring infrastructure need to fit into your overall enterprise architecture and tool stack. Data scientists combining Python and Jupyter with scalable streaming architectures. Data scientists use tools like Jupyter Notebooks to analyze, transform, enrich, filter and process data.

Machine Learning 107

Machine Learning Python Kafka Java 107

Lyft Engineering

APRIL 21, 2023

In a previous blog post , we explored the architecture and challenges of the platform. However, consuming this raw data presents several pain points: The number of requests varies across models; some receive a large number of requests, while others receive only a few.

Systems 107

Systems Building Machine Learning Datasets 107

LinkedIn Engineering

DECEMBER 19, 2023

The historical upgrade system couldn’t adapt to architectural changes like the introduction of an observer namenode (Now handling a massive influx of read requests – 150K QPS – from services such as Trino ), ZKFC auto-failover, HDFS federation , etc. The orchestrator’s implementation of the upgrade procedure’s logic performs most of the work.

Big Data 92

Big Data Hadoop Metadata Data 92

WeCloudData

OCTOBER 19, 2021

Furthermore, one cannot combine and aggregate data from publicly available job boards into custom graphs or dashboards. The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

WeCloudData

OCTOBER 19, 2021

Furthermore, one cannot combine and aggregate data from publicly available job boards into custom graphs or dashboards. The client needed to build its own internal data pipeline with enough flexibility to meet the business requirements for a job market analysis platform & dashboard.

Consulting 52

Consulting Raw Data Data Lake Data Pipeline 52

Netflix Tech

JULY 12, 2019

Gatekeeper accomplishes its prescribed task by aggregating data from multiple upstream systems, applying some business logic, then producing an output detailing the status of each video in each country. and we can do so with a higher level of safety than was possible in the previous architecture.

Datasets 73

Datasets Kafka Architecture Computer Science 73

Rockset

AUGUST 25, 2021

Instead, if you can “rollup” data as it is being generated, then you can define metrics that can be tracked in real time across a number of dimensions with better performance and lower cost. This greatly reduces both the amount of data stored and the compute for queries. Efficiency.

Aggregated Data 52

Aggregated Data Hadoop SQL Data Lake 52

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 Coding SQL Database 143

Rockset

OCTOBER 4, 2022

Change data capture (CDC) streams from OLTP databases, which may provide sales, demographic or inventory data, are another valuable source of data for real-time analytics use cases. Architecture ClickHouse was developed, beginning in 2008, to handle web analytics use cases at Yandex in Russia. Flink, Kafka and MySQL.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

AltexSoft

OCTOBER 21, 2022

The number of possible applications tends to grow due to the rise of IoT , Big Data analytics , streaming media, smart manufacturing, predictive maintenance , and other data-intensive technologies. Kafka architecture. But for high availability and data loss prevention, it’s recommended that you have at least three brokers.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Snowflake

FEBRUARY 6, 2023

Architecture and data modeling decisions can be challenging. We’ve gathered some of the questions most frequently asked: What is the best way to introduce a data mesh in an organization? How do you convince a potential domain owner to become a domain owner and be responsible for its data (products)?

Government 95

Government Data Data Pipeline Architecture 95

Striim

JULY 31, 2024

Why Striim Stands Out As detailed in the GigaOm Radar Report, Striim’s unified data integration and streaming service platform excels due to its distributed, in-memory architecture that extensively utilizes SQL for essential operations such as transforming, filtering, enriching, and aggregating data.

Aggregated Data 52

Aggregated Data Data Ingestion Java Kafka 52

Wayne Yaddow

MARCH 12, 2025

Whether the data sits in Pandas DataFrames, Spark DataFrames, SQL databases, or cloud data warehouses, the GX flexible Batch processing architecture allows users to select which slices or subsets of processed data they want to evaluate.

Data Pipeline 52

Data Pipeline Aggregated Data Data Warehouse Data 52

Rockset

FEBRUARY 16, 2024

Furthermore, Rockset’s ability to pre-aggregate data at ingestion time reduced the cost of storage and sped up queries, making the solution cost-effective at scale. With Rockset’s flexible data model , the team could easily define new metrics, add new data and onboard customers without significant engineering resources.

Architecture 59

Architecture SQL Data Warehouse Database 59

Picnic Engineering

OCTOBER 31, 2023

The final solution architecture: Observability as a Code: Observability as Code is a critical part of our approach. Datadog aggregates data based on the specific “operations” they are associated with, such as acting as a server, client, RabbitMQ interaction, database query, or various methods.

Java 52

Java Aggregated Data Coding Python 52

Netflix Tech

OCTOBER 8, 2024

Rajiv Shringi Vinay Chella Kaidan Fullerton Oleksii Tkachuk Joey Lynch Introduction As Netflix continues to expand and diversify into various sectors like Video on Demand and Gaming , the ability to ingest and store vast amounts of temporal data — often reaching petabytes — with millisecond access latency has become increasingly vital.

Bytes 95

Bytes Datasets Metadata Data 95

Striim

OCTOBER 11, 2024

These steps guarantee that data is accurate, reliable, and meaningful by the time it reaches its destination, making it possible for teams to generate insights and make data-driven decisions. This architecture can vary based on the needs of the organization and the type of data being processed.

Data Pipeline 52

Data Pipeline MongoDB Unstructured Data Data Lake 52

Ascend.io

MARCH 14, 2023

Data represents our present and our future, and therein lies a significant problem: the more data you’re dealing with, the more challenging it will be to scale your company in a sustainable and standardized way. It provides a more distributed, decentralized, and resilient approach to data management. So, what’s the solution?

Government 52

Government Architecture Data Lake Data 52

Ascend.io

MARCH 14, 2023

Data represents our present and our future, and therein lies a significant problem: the more data you’re dealing with, the more challenging it will be to scale your company in a sustainable and standardized way. It provides a more distributed, decentralized, and resilient approach to data management. So, what’s the solution?

Government 52

Government Architecture Data Lake Data 52

U-Next

SEPTEMBER 7, 2022

Data lakes can also be organized and queried using other technologies, such as . Atlas Data Lake powered by MongoDB. . Data Lake Architecture Diagram . The process of adding new data elements to a data warehouse involves changing the design, implementing, or refactoring structured storage for the data.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

LinkedIn Engineering

DECEMBER 20, 2023

The feedback loop serves as a critical component of a dynamic defense strategy, constantly monitoring and aggregating data from abuse reports, member feedback, and reviewer input. By scrutinizing patterns with abuse data, we pinpoint emerging trends, allowing us to fine-tune our models and systems in real-time.

Building 91

Building Algorithm Kafka Machine Learning 91

Netflix Tech

NOVEMBER 20, 2023

Instead of overwriting past X days of data completely by using a lookback window pattern, user workflows just need to MERGE the change data (including late arriving data) into the target table by processing the ICDC table.

Process 87

Process Data Pipeline Datasets SQL 87

DareData

JULY 5, 2023

Understanding the Architecture No company is alike and no infrastructure will be alike. Although there are some guidelines that you can follow when setting up a data infrastructure, each company has it's own needs, processes and organizational structure. Data Sources: How different are your data sources?

Data Lake 52

Data Lake Building Raw Data ETL Tools 52

Lyft Engineering

SEPTEMBER 27, 2022

The problem was architectural: The pipeline was doing too many things. We followed the microservice architecture in the new streaming pipeline design, and decided to split the pipelines into two (see Figure 2). The second type of pipeline ingests Kafka topics and aggregates data into standard ML features.

Kafka 52

Kafka Aggregated Data Machine Learning Architecture 52

Rockset

NOVEMBER 1, 2022

The lack of proper joins, immutable indexes that need constant vigil, a tightly coupled compute and storage architecture, and highly specific domain knowledge needed to develop and operate it has left many engineers seeking alternatives. We often see ingest queries aggregate data by time.

Database-centric 52

Database-centric SQL Pipeline-centric Aggregated Data 52

AltexSoft

AUGUST 4, 2021

Depending on a goal, it may take weeks or months to set up a data lake. Moreover, not all organizations use data lakes. Data mart vs data warehouse vs data lake architectures. Data marts shouldn’t be confused with OLAP cubes either. Data mart constructing.

Data Lake 64

Data Lake Data Warehouse ETL Tools Database 64

ProjectPro

JANUARY 5, 2017

She also says that they need more data related to fertility. They are very much anxious to know what the app might do and what they may be able to learn from the aggregated data. Source: [link] Journey Analytics: A Killer App for Big Data? Glow has developed an app which allows to track the menstrual cycles.

Hadoop 52

Hadoop Manufacturing Pharmaceutical BI 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. This API serves a vital role in Airbnb’s next-generation data warehouse architecture. Data, Product Management, Finance, Engineering) and teams (e.g.,

Data Warehouse 52

Data Warehouse Finance Metadata Aggregated Data 52

ProjectPro

FEBRUARY 8, 2023

Let us dive deeper into this data integration solution by AWS and understand how and why big data professionals leverage it in their data engineering projects. The ETL code for your data is automatically generated by AWS Glue when you specify your ETL process in the drag-and-drop job editor. How Does AWS Glue Work?

AWS 98

AWS Scala Metadata Data Lake 98

Databand.ai

JULY 10, 2023

With the widespread adoption of microservices architectures, teams face greater challenges in achieving full observability for their systems and resolving issues promptly. Improved incident management: Observability platforms provide comprehensive visibility across all components in system architecture.

Data Pipeline 52

Data Pipeline Algorithm Raw Data Data Engineering 52