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 90

Aggregated Data Consulting Government AWS 90

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 100

Data Science Aggregated Data Data Consulting 100

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

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

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 91

Data Architecture Architecture Management Banking 91

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 88

Database Machine Learning Kafka Aggregated Data 88

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 Accessible Accessibility 52

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

Striim

DECEMBER 18, 2024

This centralized approach empowers teams with immediate insights across all facets of aviation operations.

Aggregated Data 52

Aggregated Data Machine Learning Data Integration Data 52

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

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 80

BI Data Ingestion Data Aggregated Data 80

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 82

Big Data Raw Data Aggregated Data Data 82

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

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 76

Food Retail Aggregated Data Machine Learning 76

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 Aggregated Data Programming 98

Snowflake

OCTOBER 16, 2023

Data needs in human services Efficient, centralized technologies are indispensable when addressing basic human needs like food and shelter as well as general social welfare.

Healthcare 84

Healthcare Programming Hospitality Food 84

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

Ascend.io

OCTOBER 28, 2024

Intermediate Data Transformation Techniques Data engineers often find themselves in the thick of transforming data into formats that are not only usable but also insightful. Intermediate data transformation techniques are where the magic truly begins.

Raw Data 52

Raw Data Datasets Aggregated Data Data Pipeline 52

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

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 84

SQL Kafka Aggregated Data Architecture 84

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 117

Machine Learning Building Metadata Kafka 117

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

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

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 69

Systems Engineering Data Warehouse Architecture 69

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

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 88

Process Data Pipeline Datasets SQL 88

Striim

APRIL 3, 2024

Traditionally, this involves aggregating data from multiple sources such as HubSpot and Zendesk, a process that is both time-consuming and requires extensive technical expertise.

Google Cloud 52

Google Cloud Transportation Data Integration Aggregated Data 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 144

Metadata Coding SQL Database 144

Grouparoo

JULY 28, 2021

We can expect the same behavior if we try a CASE switch for our LTV because, again, there is no row, no data for it to act on.

SQL 52

SQL Coding Aggregated Data Python 52

Rockset

OCTOBER 4, 2022

Ingest Transformations and Rollups It is useful to be able to transform and rollup streaming data as it is being ingested. ClickHouse has several storage engines that can pre-aggregate data. Rollups in Rockset are a special type of transformation that aggregates data upon ingest.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

Workfall

SEPTEMBER 18, 2023

Streamline Data Volume for Efficiency: While Snowflake is capable of handling large datasets, it’s essential to be mindful of data volume. Focus on sending relevant, necessary data to Snowflake to prevent overwhelming the integration process. Adapt to Changing Data Schemas: Data sources aren’t static; they evolve.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Rockset

AUGUST 30, 2021

You can also optionally use WHERE clauses to filter out data. Since only the aggregated data is now ingested and indexed into Rockset, this technique reduces the compute and storage required to track real-time metrics by a few orders of magnitude.

SQL 52

SQL Kafka MongoDB MySQL 52

Knowledge Hut

JANUARY 19, 2024

New Analytics Strategy vs. Existing Analytics Strategy Business Intelligence is concerned with aggregated data collected from various sources (like databases) and analyzed for insights about a business' performance. In contrast, Business Analytics involves an analytical approach to solving problems within a business context.

Business Intelligence 52

Business Intelligence BI Business Analyst Aggregated Data 52

Confluent

FEBRUARY 6, 2019

Similarly to rapid prototyping with these libraries, you can do interactive queries and data preprocessing with ksql-python. Check out the KSQL quick start and KSQL recipes to understand how to write a KSQL query to easily filter, transform, enrich or aggregate data.

Machine Learning 107

Machine Learning Python Kafka Java 107