databricks

JUNE 4, 2023

In today's data-driven landscape, organizations face the challenge of aggregating data to derive meaningful insights that enrich audience profiles. Traditional data integration methods.

Aggregated Data 98

Aggregated Data Data Data Integration Entertainment 98

Data Engineering Weekly

MARCH 2, 2025

Adevinta writes about transforming its data infrastructure from a lakehouse architecture to a data mesh, leveraging Databricks and initiatives like data contracts and data product frameworks. Key highlights include Using data contracts for source-aligned data products (bronze layer).

Data Engineer 62

Data Engineer Data Engineering Engineering Datasets 62

Snowflake

DECEMBER 6, 2023

I’ve gathered the best minds in tech who also believe in the importance of the work we’re doing, and are dedicated to serving the lives we’re impacting with this innovative approach to healthcare data. What’s the coolest thing you’re doing with data? What role does Snowflake play in your data strategy?

Healthcare 111

Healthcare Aggregated Data Medical Machine Learning 111

KDnuggets

JANUARY 29, 2025

Looking for efficient data wrangling in Rust? Polars offers fast, memory-safe tools for tasks like filtering, joining, and aggregating data.

Aggregated Data 72

Aggregated Data Data 72

Cloudera

MARCH 29, 2021

This allows users to run continuous queries on data streams over specific time windows. You can also join multiple data streams and perform aggregations. This again liberates the value locked up in real-time data streams to more applications across the enterprise.

SQL 116

SQL Scala Manufacturing Java 116

Cloudera

MARCH 3, 2023

As a CDO, I need full data life cycle capability. I must store data efficiently and resiliently, pipe and aggregate data into data lakehouses, and apply machine learning algorithms and AI to uncover actionable insights for our business units. But I have good reasons to prefer CDP! First, fullness. Second, reach.

Aggregated Data 84

Aggregated Data Consulting Government AWS 84

Knowledge Hut

APRIL 19, 2023

The process of merging and summarizing data from various sources in order to generate insightful conclusions is known as data aggregation. The purpose of data aggregation is to make it easier to analyze and interpret large amounts of data. Let's look at the use case of data aggregation below.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Pinterest Engineering

FEBRUARY 11, 2025

Then, RCA calculates each experiments impact on the metric segment over the course of that time window and ranks the top experiments by impact.

Algorithm 46

Algorithm Software Engineer Software Engineering Aggregated Data 46

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

Snowflake

JUNE 8, 2023

Data producers deliver data products from a single source or set of sources, such as data from a CRM application. Those data products could be used by themselves or aggregated into an aggregate data product, like the customer 360 described above. Product thinking works from the outside in.

Aggregated Data 72

Aggregated Data Raw Data Data Telecommunication 72

Snowflake

APRIL 9, 2024

Using data to coach and support sales development reps For the SDR leadership team, having information that’s trusted, accessible and available in near real time means they can make truly data-driven management decisions.

BI 104

BI Data Ingestion Data Aggregated Data 104

Towards Data Science

FEBRUARY 9, 2023

This allows me to load this data incrementally. I will go over the raw data to load the day, go over the daily aggregated data to load the month, and finally through the daily data to update the counts for the user that have changed.

Big Data 98

Big Data Raw Data Aggregated Data Data 98

Cloudyard

APRIL 24, 2024

Create Aggregation Policy: CREATE OR REPLACE AGGREGATION POLICY AGG_POL_GRP AS () RETURNS AGGREGATION_CONSTRAINT -> AGGREGATION_CONSTRAINT(MIN_GROUP_SIZE => 10); This code creates an Aggregation Policy named AGG_POL_GRP with a minimum group size of 10.

Aggregated Data 52

Aggregated Data Datasets Accessibility Accessible 52

Towards Data Science

FEBRUARY 2, 2024

If the data systems went down, these activities would still happen, but they would be considerably more painful. Here’s what that formula looks like: Number of incidents x (average time to detection + average time to resolution) This is helpful in measuring how your overall data product reliability is trending.

Data 98

Data Aggregated Data Machine Learning Data Mining 98

Cloudera

JUNE 29, 2023

Streamline KYC and AML, too While Know Your Customer (KYC) and Anti-Money-Laundering (AML) processes didn’t play a role in the recent collapses, institutions can also leverage the combination of a modern, open data architecture, advanced analytics, and machine automation to transform KYC and AML.

Data Architecture 85

Data Architecture Architecture Management Banking 85

Confluent

OCTOBER 25, 2022

Joining two topics to aggregate data is fundamental in stream processing, but it’s not easy. Learn how to use kcat to debug and ensure two topics use the same keys in the same partitions.

Aggregated Data 52

Aggregated Data Process Data 52

Cloudera

FEBRUARY 16, 2021

Integrated across the Enterprise Data Lifecycle . Cloudera Operational Database (COD) plays the crucial role of a data store in the enterprise data lifecycle. You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Warehouse to perform ETL operations.

Database 83

Database Machine Learning Kafka Aggregated Data 83

Picnic Engineering

DECEMBER 3, 2024

For new features, not only did we have to implement new screens in the apps, we also had to implement a significant amount of (boilerplate) backend logic to persist and aggregate data to be presented on these new screens and serve them to the clients.

Business Analyst 40

Business Analyst Software Engineer Software Engineering Architecture 40

Lyft Engineering

APRIL 21, 2023

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. For some models, aggregating data with simple queries is easy, while for others the data is too large to process on a single machine.

Systems 107

Systems Building Machine Learning Raw Data 107

Netflix Tech

DECEMBER 10, 2018

Secondly, we utilize various signals and aggregate data such as understanding of content popularity on Netflix to enable highly relevant ads. Monet helps drive incremental conversions, engagement with our product and in general, present a rich story about our content and the Netflix brand to users around the world.

Coding 111

Coding Aggregated Data Utilities Architecture 111

Cloudyard

JUNE 11, 2024

This pipeline consists of several sequential tasks: Task A: Loads raw data into a staging table. Task B: Transforms the data in the staging table. Task C: Aggregates the transformed data (simulates a potential failure). Task D: Loads the aggregated data into the final table.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Workflow 52

LinkedIn Engineering

OCTOBER 13, 2023

We were able to stack data side by side to compare directly in our platform as opposed to exporting everything from its source system and manually normalizing the data to start comparison.

Management 98

Management IT Programming Aggregated Data 98

Hevo

APRIL 12, 2024

ETL processes often involve aggregating data from various sources into a data warehouse or data lake. Bucketing can be used during the transformation phase to aggregate data into predefined buckets or intervals. It plays a […]

Aggregated Data 40

Aggregated Data SQL Data Lake Data Warehouse 40

Picnic Engineering

OCTOBER 31, 2023

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. The capability to aggregate data in one place, combined with a wide range of integrations, simplifies data collection and access.

Java 52

Java Aggregated Data Coding Python 52

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.

Aggregated Data 52

Aggregated Data Hadoop SQL Data Lake 52

Cloudera

JANUARY 14, 2021

This retailer deployed Cloudera DataFlow to tap real-time streaming data from thousands of cold storage sensors across its vast network of brick-and-mortar stores.

Food 72

Food Retail Aggregated Data Machine Learning 72

Lyft Engineering

JUNE 28, 2023

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. Shortly after we built it, it was utilized by another pod within our team to build a Real-time Anomaly Detection product.

Machine Learning 118

Machine Learning Building Kafka Metadata 118

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

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. Tools like AppDynamics, Instana, New Relic, Jaeger, OpenTracing measure and thus analyze application metrics, which in turn aid in solving problems before they reach the end-users.

Engineering 98

Engineering Programming Language Python Cloud 98

Edureka

JANUARY 2, 2025

Use Case: 1: Cardinality is necessary for creating data models that aggregate data, such as those used to monitor product sales, client interactions, or order histories. Usually, the “one” side is referred to as the “lookup” table, and the “many” side is called the “fact” table.

BI 52

BI Certification Database Aggregated Data 52

Rockset

APRIL 18, 2023

Rockset offers a number of benefits along with vector search support to create relevant experiences: Real-Time Data: Ingest and index incoming data in real-time with support for updates. Feature Generation: Transform and aggregate data during the ingest process to generate complex features and reduce data storage volumes.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Wayne Yaddow

MARCH 12, 2025

These checks might be broadensuring that no null values exist in crucial fieldsor highly narrow, concentrating on domain-specific logic such as matching reference codes or confirming aggregated data. Furthermore, Great Expectations makes these validations easy to replicate by grouping them into Checkpoints.

Data Pipeline 52

Data Pipeline Aggregated Data Data Warehouse Data 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

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

Cloudera

FEBRUARY 9, 2023

The sudden failing of a complex data pipeline can lead to devastating consequences — especially if it goes unnoticed. This is why we build job notifications functionality into SSB, to deliver maximum reliability in your complex real-time data pipelines.

SQL 79

SQL Kafka Aggregated Data Architecture 79

Data Engineering Weekly

SEPTEMBER 26, 2024

Silver Layer: In this zone, data undergoes cleaning, transformation, and enrichment, becoming suitable for analytics and reporting. Access expands to data analysts and scientists, though sensitive elements should remain masked or anonymized. It's accessible to a wider audience, including business users and BI tools.

Systems 67

Systems Engineering Data Warehouse Architecture 67

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