Monte Carlo

FEBRUARY 20, 2024

At the heart of every data-driven decision is a deceptively simple question: How do you get the right data to the right place at the right time? The growing field of data ingestion tools offers a range of answers, each with implications to ponder. Fivetran Image courtesy of Fivetran.

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Data Engineering Podcast

JUNE 12, 2022

From a data engineering perspective that often means things like JSON files, audio or video recordings, images, etc. Another category of unstructured data that every business deals with is PDFs, Word documents, workstation backups, and countless other types of information. In fact, while only 3.5% In fact, while only 3.5%

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Knowledge Hut

APRIL 23, 2024

It encompasses data from diverse sources such as social media, sensors, logs, and multimedia content. The key characteristics of big data are commonly described as the three V's: volume (large datasets), velocity (high-speed data ingestion), and variety (data in different formats).

Data Warehouse 52

Data Warehouse Big Data Unstructured Data Hadoop 52

Snowflake

SEPTEMBER 13, 2023

Read Snowflake Documentation to learn how to set up your development environment for Snowpark Python. Users can now easily connect to external network locations, including external LLMs, from their Snowpark code while maintaining high security and governance over their data. Snowpark Python Updates Snowpark support for Python 3.9

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Christophe Blefari

JANUARY 20, 2024

The main difference between both is the fact that your computation resides in your warehouse with SQL rather than outside with a programming language loading data in memory. In this category I recommend also to have a look at data ingestion (Airbyte, Fivetran, etc.), workflows (Airflow, Prefect, Dagster, etc.)

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Rockset

DECEMBER 27, 2022

In these scenarios, you can speed up the indexing of data in a more resource-efficient way using the Bulk API. Even with the Bulk API, you do want to be aware of the number of documents indexed and the overall size of the bulk request to ensure it does not hinder cluster performance. How should I design for multi-tenancy?

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Data Ingestion NoSQL Datasets Utilities 52

Snowflake

AUGUST 16, 2023

Data comes in a continuous manner, and often a separate architecture is required to handle streaming data. What remains challenging is how streaming data is brought together with batch data. That’s why we built Snowpipe Streaming, now generally available to handle row-set data ingestion. Learn more here.

Scala 52

Scala Transportation Kafka Data Lake 52

Booking.com Engineering

DECEMBER 2, 2022

From data ingestion, data science, to our ad bidding[2], GCP is an accelerant in our development cycle, sometimes reducing time-to-market from months to weeks. Data Ingestion and Analytics at Scale Ingestion of performance data, whether generated by a search provider or internally, is a key input for our algorithms.

Systems 52

Systems Cloud MySQL Relational Database 52

Rockset

APRIL 18, 2023

In the demo, you’ll see how Rockset delivers search results in 15 milliseconds over thousands of documents. Organizations have continued to accumulate large quantities of unstructured data, ranging from text documents to multimedia content to machine and sensor data. Why use vector search?

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Towards Data Science

DECEMBER 1, 2023

Ingestion —  Fivetran Data ingestion can be configured from both Fivetran and Snowflake using the Partner Connect feature. After the initial sync, you can access your data from the Snowflake UI. Store snapshots in a separate schema Take a while to generate dbt documentation using the “dbt docs generate” command.

Data Engineering 69

Data Engineering Data Engineer Project Engineering 69

Towards Data Science

MAY 3, 2023

One such tool is the Versatile Data Kit (VDK), which offers a comprehensive solution for controlling your data versioning needs. VDK helps you easily perform complex operations, such as data ingestion and processing from different sources, using SQL or Python. VDK supports SCD Type 1 and Type 2.

Data Lake 83

Data Lake Data SQL Data Warehouse 83

Data Engineering Weekly

OCTOBER 30, 2022

link] Sarah Krasnik: The Analytics Requirements Document The first critical step to bringing data-driven culture into an organization is to embed the data collection and analytical requirement part of the product development workflow.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

Knowledge Hut

APRIL 23, 2024

Big Data Training online courses will help you build a robust skill-set working with the most powerful big data tools and technologies. Big Data vs Small Data: Velocity Big Data is often characterized by high data velocity, requiring real-time or near real-time data ingestion and processing.

Big Data 52

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Knowledge Hut

MARCH 20, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

The job description for Azure data engineer that I have elucidated below focuses more on foundational tasks while providing opportunities for learning and growth within the field: Data ingestion: This role involves assisting in the process of collecting and importing data from various sources into Azure storage solutions.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Ascend.io

JANUARY 23, 2023

The newly optimized implementation of MERGE improves performance substantially for common workloads by reducing the number of shuffle operations, and preserving the data layout on existing data that is not modified. Check out Databricks documentation on this cool capability!

Data Pipeline 52

Data Pipeline Data Ingestion Datasets Data 52

Cloudera

FEBRUARY 9, 2021

Cloudera Operational Database is now available in three different form-factors in Cloudera Data Platform (CDP). . And, check out the documentation here. . But first, let’s look at the different form factors in which Cloudera Operational Database is available to developers: Public cloud: CDP Data Hub Operational Database template .

Database 105

Database Java Data Ingestion SQL 105

Cloudera

SEPTEMBER 28, 2020

This customer’s workloads leverage batch processing of data from 100+ backend database sources like Oracle, SQL Server, and traditional Mainframes using Syncsort. Data Science and machine learning workloads using CDSW. The customer is a heavy user of Kafka for data ingestion. using the steps documented here.

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Snowflake

APRIL 19, 2023

Welcome to the third blog post in our series highlighting Snowflake’s data ingestion capabilities, covering the latest on Snowpipe Streaming (currently in public preview) and how streaming ingestion can accelerate data engineering on Snowflake. What is Snowpipe Streaming? Instance type: c6a.16xlarge

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Data Ingestion Kafka Java Data Pipeline 57

phData: Data Engineering

SEPTEMBER 19, 2023

By incorporating metadata into the data model, users can easily discover, understand, and interpret the data stored in the lake. With the amounts of data involved, this can be crucial to utilizing a data lake effectively. However, this can be time-consuming and prone to human error, leading to misinformation.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Rockset

JULY 28, 2022

It is widely supported and provides flexible JSON document storage at scale. MongoDB has native analytical capabilities allowing you to build up complex transformation and aggregation pipelines to be executed on the documents. Documents in MongoDB can also have complex structures.

MongoDB 52

MongoDB Kafka NoSQL Data Lake 52

Netflix Tech

MARCH 7, 2023

This API finds all Elasticsearch documents with ID1 and marks isAnnotationOperationActive=FALSE. Data ingestion pipeline with Operation Management was originally published in Netflix TechBlog on Medium, where people are continuing the conversation by highlighting and responding to this story.

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Data Ingestion Management Algorithm Media 105

Rockset

MAY 17, 2022

That changed when NoSQL databases such as key-value and document stores came on the scene. Now companies could take a massive data set, organize it into simple pairs of key values or documents and instantly perform lookups and other simple queries. Instant scaleup of data writes or queries to handle bursts of data.

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Precisely

SEPTEMBER 11, 2023

Here are some of the key capabilities, and what they mean for you: Auto metadata discovery: Use data profiles to enable the collection and detection of an extensive range of metadata upon data ingestion or on a scheduled basis. Context-based bots expedite information retrieval from documentation, knowledge bases, or metadata.

Metadata 52

Metadata Data Integration Datasets Data Analysis Tools 52

Snowflake

AUGUST 8, 2023

Some of the more interesting use cases include: Customer service triage, response generation, and eventually full-chat experiences, as described above Advertising creative generation personalized for each customer, based on everything you know about each customer in Snowflake SQL-drafting and question-answering data analysis chatbots based on your (..)

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Generalist Data Ingestion SQL Technology 76

dbt Developer Hub

JANUARY 14, 2023

The builder: I’m a data freelancer who deploys end to end solutions, so when I have a data problem, I cannot just let it go. dlt is a new Python library for declarative data ingestion which I have wanted to test for some time. Finally, I will use dbt Core for transformation. file for the source).

Data Ingestion 52

Data Ingestion Google Cloud Python Cloud 52

Knowledge Hut

OCTOBER 3, 2023

Azure Data engineers collaborate with Azure AI services built on top of Azure Cognitive Services APIs to offer end customers a variety of pre-built models. Azure Data Engineers utilize the Azure Form Recognizer service to automatically generate outputs and extract data from a variety of documents.

Data Engineering 52

Data Engineering Data Engineer Engineering Cloud Computing 52

Towards Data Science

JULY 13, 2023

The application will receive a small data input (e.g., chat history, documents, state). This data will move through different services (LLM, vector database, document store, etc.) to perform operations, generate new data artifacts, and return final results. We refer you to our documentation for points 3 & 5.

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Building Database-centric Database Coding 70

Knowledge Hut

APRIL 23, 2024

On the other hand, data sources pertain to the origins or locations from which the data is collected. These sources can be diverse and varied, including structured databases, unstructured documents, social media platforms, IoT devices, or external APIs. Ensure Data Veracity: Prioritize data quality and reliability.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Knowledge Hut

SEPTEMBER 29, 2023

Microsoft learning platform: Azure data engineering training is officially documented by Microsoft. These documents are mostly text-based, with videos used to help self-learners understand some of the ideas. To understand the capabilities in detail, you must see the official documentation.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Cloudera

FEBRUARY 16, 2021

In the following sections, we see how the Cloudera Operational Database is integrated with other services within CDP that provide unified governance and security, data ingest capabilities, and expand compatibility with Cloudera Runtime components to cater to your specific use cases. . Integrated across the Enterprise Data Lifecycle .

Database 86

Database Machine Learning Data Lake Kafka 86

Rockset

MAY 12, 2022

It’s well documented that web retail traffic can spike 10x during Black Friday. There are many other occasions where data traffic balloons suddenly. Offloading complex analytics onto data applications. Other databases claim their design provides immunity to bursty data traffic.

Analytics Application 52

Analytics Application Lambda Architecture Hadoop Electronics 52

Rockset

OCTOBER 11, 2022

In this blog, we’ll compare and contrast how Elasticsearch and Rockset handle data ingestion as well as provide practical techniques for using these systems for real-time analytics. The Update API retrieves the existing document from the index, processes the change and then indexes the data again.

Data Ingestion 52

Data Ingestion Kafka Relational Database PostgreSQL 52

Cloudera

AUGUST 31, 2021

Due to the high storage cost in the legacy EDW solution, 100% source data capture proved cost-prohibitive – this led to continuing and costly change cycles to load incremental source updates as business requirements changed. This document is produced by consultants at Accenture as general guidance.

Data Warehouse 85

Data Warehouse Database-centric Metadata Cloud 85

Striim

JULY 10, 2023

Databricks Unity Catalog serves as an enterprise data catalog and collaborative platform for data discovery and management, enabling organizations to centralize and leverage their data assets effectively. Familiarity with creating Databricks clusters and notebooks.

Python 40

Python Database Programming Language Coding 40

Rockset

MAY 3, 2023

lower latency than Elasticsearch for streaming data ingestion. We’ll also delve under the hood of the two databases to better understand why their performance differs when it comes to search and analytics on high-velocity data streams. Why measure streaming data ingestion?

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Data Ingestion Kafka Database Architecture 59

Confluent

FEBRUARY 6, 2019

It allows real-time data ingestion, processing, model deployment and monitoring in a reliable and scalable way. This blog post focuses on how the Kafka ecosystem can help solve the impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Python Kafka Java 106