Snowflake

NOVEMBER 11, 2024

These scalable models can handle millions of records, enabling you to efficiently build high-performing NLP data pipelines. However, scaling LLM data processing to millions of records can pose data transfer and orchestration challenges, easily addressed by the user-friendly SQL functions in Snowflake Cortex.

Unstructured Data 98

Unstructured Data SQL AWS Healthcare 98

Striim

NOVEMBER 17, 2023

Real-time data processing in the world of machine learning allows data scientists and engineers to focus on model development and monitoring. Striim’s strength lies in its capacity to connect to over 150 data sources, enabling real-time data acquisition from virtually any location and simplifying data transformations.

Machine Learning 52

Machine Learning Data Process PostgreSQL Process 52

Snowflake

JUNE 20, 2024

In the age of AI, enterprises are increasingly looking to extract value from their data at scale but often find it difficult to establish a scalable data engineering foundation that can process the large amounts of data required to build or improve models.

Data Engineering 111

Data Engineering Data Engineer Scala Engineering 111

Monte Carlo

NOVEMBER 21, 2024

Think of it as the “slow and steady wins the race” approach to data processing. Stream Processing Pattern Now, imagine if instead of waiting to do laundry once a week, you had a magical washing machine that could clean each piece of clothing the moment it got dirty. The data lakehouse has got you covered!

Data Pipeline 52

Data Pipeline Designing Lambda Architecture Kafka 52

DataKitchen

AUGUST 9, 2021

The data industry has a wide variety of approaches and philosophies for managing data: Inman data factory, Kimball methodology, s tar schema , or the data vault pattern, which can be a great way to store and organize raw data, and more. Data mesh does not replace or require any of these.

Pharmaceutical 98

Pharmaceutical Raw Data Data Data Lake 98

Christophe Blefari

JANUARY 14, 2023

On the data processing side there is Polars, a DataFrame library that could replace pandas. How to land a job in progressive data — If you want to use your skills to Do Good you have to look at Brittany's post about progressive data. Let's have a quick look at it. seed round.

Python 130

Python Kafka Data Scala 130

Cloudera

SEPTEMBER 11, 2018

The open data processing pipeline. IoT is expected to generate a volume and variety of data greatly exceeding what is being experienced today, requiring modernization of information infrastructure to realize value. The post Building an Open Data Processing Pipeline for IoT appeared first on Cloudera Blog.

Data Process 40

Data Process Process Building Machine Learning 40

Knowledge Hut

MARCH 7, 2024

The year 2024 saw some enthralling changes in volume and variety of data across businesses worldwide. The surge in data generation is only going to continue. Foresighted enterprises are the ones who will be able to leverage this data for maximum profitability through data processing and handling techniques.

Big Data 98

Big Data Bytes Data Governance Raw Data 98

Snowflake

JUNE 21, 2024

Snowflake’s platform can power a variety of workloads all on top of Iceberg: data engineering, artificial intelligence (AI), machine learning (ML), business intelligence (BI) and more. Supporting Iceberg as a storage format for Dynamic Tables will simplify data processing for data lakes and lakehouses.

Data Lake 124

Data Lake BI Business Intelligence Metadata 124

Cloudera

JANUARY 20, 2021

Balancing the edge: Understanding the right balance between data processing at the edge and in the cloud is a challenge, and this is why the entire data lifecycle needs to be considered. Data Collection Using Cloudera Data Platform. STEP 1: Collecting the raw data.

Manufacturing 110

Manufacturing Data Warehouse Kafka Retail 110

Netflix Tech

NOVEMBER 14, 2023

In this context, managing the data, especially when it arrives late, can present a substantial challenge! In this three-part blog post series, we introduce you to Psyberg , our incremental data processing framework designed to tackle such challenges! Raw data for hours 3 and 6 arrive. Let’s dive in!

Data Engineering 108

Data Engineering Data Engineer Engineering Metadata 108

Ripple Engineering

JULY 9, 2024

  Ripple's Journey and Challenges with the Legacy System Our legacy system was once at the forefront of big data processing, but as our operations grew, we faced a tangle of complexities. High maintenance costs and a system that struggled to meet the real-time demands of our data-driven initiatives.

Hadoop 96

Hadoop Data Lake Machine Learning Raw Data 96

Snowflake

JUNE 6, 2024

Schedule data ingestion, processing, model training and insight generation to enhance efficiency and consistency in your data processes. Access Snowflake platform capabilities and data sets directly within your notebooks.

SQL 115

SQL Python Machine Learning Data Workflow 115

Striim

SEPTEMBER 11, 2024

Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making. These data sources serve as the starting point for the pipeline, providing the raw data that will be ingested, processed, and analyzed.

Data Pipeline 98

Data Pipeline Designing Data Lake Data Warehouse 98

Snowflake

MAY 23, 2024

Right now we’re focused on raw data quality and accuracy because it’s an issue at every organization and so important for any kind of analytics or day-to-day business operation that relies on data — and it’s especially critical to the accuracy of AI solutions, even though it’s often overlooked.

Data Pipeline 105

Data Pipeline Raw Data Data Schemas Technology 105

The Modern Data Company

FEBRUARY 15, 2023

Animesh Kundera, co-founder and CTO of The Modern Data Company, distills these ideas down to “the four horsemen of data debt.” Administrators can govern data access through attribute-based controls, and IT users can get behind the scenes to build the apps and tools the company needs for big data processing.

Government 98

Government Data Governance Raw Data Data 98

LinkedIn Engineering

APRIL 4, 2023

Figure 3: An expanded metric detail view showing historical trend and dimensional breakdown (note all data is mocked) Finally, we link to a dedicated dashboard for each metric with further slicing and dicing capabilities, and access to the individual data points. raw data path, column mappings, aggregation function to be used, etc.)

MySQL 122

MySQL Datasets Software Engineer Software Engineering 122

Cloudera

AUGUST 21, 2021

This platform afforded more scalability and agility for Bank Mandiri to ramp up their daily data processing to 10 million records each day while shortening the time to process data from 7 days to just hours. million) of transactions per week at each of the bank’s branches.

Banking 103

Banking Raw Data High Quality Data Cloud 103

Towards Data Science

MAY 3, 2023

VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. You can use VDK to build data lakes and ingest raw data extracted from different sources, including structured, semi-structured, and unstructured data.

Data Lake 98

Data Lake SQL Data Data Warehouse 98

Knowledge Hut

DECEMBER 26, 2023

Businesses benefit at large with these data collection and analysis as they allow organizations to make predictions and give insights about products so that they can make informed decisions, backed by inferences from existing data, which, in turn, helps in huge profit returns to such businesses. What is the role of a Data Engineer?

Data Engineering 98

Data Engineering Data Engineer Engineering Hadoop 98

Edureka

JUNE 13, 2024

In other words, it acted as an input data source, taking much of the work on data processing and transferring within Power BI. Power Query will automatically execute Query Folding under the following conditions: A data source is an object that can process query requests, just like a database used in most cases.

BI 81

BI Raw Data SQL Database 81

Knowledge Hut

DECEMBER 22, 2023

Data science uses machine learning algorithms like Random Forests, K-nearest Neighbors, Naive Bayes, Regression Models, etc. They can categorize and cluster raw data using algorithms, spot hidden patterns and connections in it, and continually learn and improve over time. These large data sets are referred to as "Big Data."

Hadoop 98

Hadoop Deep Learning Data Science Machine Learning 98

Hevo

APRIL 27, 2023

In today’s data-driven world, businesses collect and store vast amounts of data from various sources. However, raw data is often unstructured, inconsistent, and may not be immediately usable for analysis or decision-making. That’s where data transformation comes into play.

Process 52

Process Raw Data Data Data Process 52

Monte Carlo

AUGUST 6, 2024

Integration Layer : Where your data transformations and business logic are applied. Stage Layer: The Foundation The Stage Layer serves as the foundation of a data warehouse. Its primary purpose is to ingest and store raw data with minimal modifications, preserving the original format and content of incoming data.

Data Warehouse 52

Data Warehouse Raw Data Machine Learning BI 52

Cloud Academy

JANUARY 27, 2022

A data engineer is an engineer who creates solutions from raw data. A data engineer develops, constructs, tests, and maintains data architectures. Let’s review some of the big picture concepts as well finer details about being a data engineer. Earlier we mentioned ETL or extract, transform, load.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

JANUARY 2, 2025

Keep the table of columns where the data is being aggregated to a minimum. Use proactive caching and computation groups to avoid time-consuming data processing. Employing suitable data modeling will help you process less data. Still have questions?

BI 52

BI Datasets Business Intelligence Data Analysis 52

Databand.ai

JULY 6, 2023

7 Data Pipeline Examples: ETL, Data Science, eCommerce, and More Joseph Arnold July 6, 2023 What Are Data Pipelines? Data pipelines are a series of data processing steps that enable the flow and transformation of raw data into valuable insights for businesses.

Data Pipeline 52

Data Pipeline Data Science Raw Data Media 52

Hevo

APRIL 27, 2023

In today’s data-driven era, you have more raw data than ever before. However, to leverage the power of big data, you need to convert raw data into valuable insights for informed decision-making. ” While they may sound […]

Raw Data 52

Raw Data Big Data Data Data Warehouse 52

DataKitchen

SEPTEMBER 21, 2023

L1 is usually the raw, unprocessed data ingested directly from various sources; L2 is an intermediate layer featuring data that has undergone some form of transformation or cleaning; and L3 contains highly processed, optimized, and typically ready for analytics and decision-making processes.

Raw Data 67

Raw Data Data Business Intelligence Data Engineering 67

Ascend.io

NOVEMBER 21, 2023

The emergence of cloud data warehouses, offering scalable and cost-effective data storage and processing capabilities, initiated a pivotal shift in data management methodologies. How ELT Works The process of ELT can be broken down into the following three stages: 1. What Is ELT? So, what exactly is ELT?

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Cloudera

NOVEMBER 2, 2020

An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. But an important caveat is that ingest speed, semantic richness for developers, data freshness, and query latency are paramount. General Purpose RTDW.

Data Warehouse 97

Data Warehouse Kafka Lambda Architecture Telecommunication 97

AltexSoft

MAY 12, 2022

It enables displaying characteristics of audio files, creating all types of audio data visualizations and extracting features from them, to name just a few capabilities. Audio Toolbox by MathWorks offers numerous instruments for audio data processing and analysis, from labeling to estimating signal metrics to extracting certain features.

Machine Learning 122

Machine Learning Building Deep Learning Healthcare 122

Meltano

OCTOBER 5, 2022

DataOps uses a wide range of technologies such as machine learning, artificial intelligence, and various data management tools to streamline data processing, testing, preparing, deploying, and monitoring. This results in a system that gives organizations control over the data flow so that anomalies can be spotted automatically.

Engineering 52

Engineering Raw Data Data Pipeline Data Warehouse 52

Cloudyard

JUNE 11, 2024

Imagine you’re tasked with managing a critical data pipeline in Snowflake that processes and transforms large datasets. 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.

Raw Data 52

Raw Data Aggregated Data Data Pipeline Data Workflow 52

The Modern Data Company

APRIL 15, 2024

Transforming Data Complexity into Strategic Insight At first glance, the process of transforming raw data into actionable insights can seem daunting. The journey from data collection to insight generation often feels like operating a complex machine shrouded in mystery and uncertainty.

Building 52

Building Raw Data Food Data 52

Confluent

SEPTEMBER 26, 2019

® , Go, and Python SDKs where an application can use SQL to query raw data coming from Kafka through an API (but that is a topic for another blog). Apache Kafka is an event streaming platform that combines messages, storage, and data processing. Apache Kafka as an event streaming platform for real-time analytics.

Kafka 21

Kafka SQL BI Hadoop 21

Monte Carlo

FEBRUARY 25, 2025

Data engineering design patterns are repeatable solutions that help you structure, optimize, and scale data processing, storage, and movement. They make data workflows more resilient and easier to manage when things inevitably go sideways. Thats why solid design patterns matter. Which One Should You Choose?

Designing 52

Designing Data Engineering Data Engineer Engineering 52