Snowflake

APRIL 9, 2024

However, that data must be ingested into our Snowflake instance before it can be used to measure engagement or help SDR managers coach their reps — and the existing ingestion process had some pain points when it came to data transformation and API calls.

BI 74

BI Data Ingestion Data Aggregated Data 74

Team Data Science

JUNE 6, 2020

We left off last time concluding finance has the largest demand for data engineers who have skills with AWS, and sketched out what our data ingestion pipeline will look like. I began building out the data ingestion pipeline by launching an EC2 instance. They can do whatever they want, whenever they want.

Project 130

Project Management Data Ingestion AWS 130

Snowflake

OCTOBER 3, 2023

We are excited to announce the availability of data pipelines replication, which is now in public preview. In the event of an outage, this powerful new capability lets you easily replicate and failover your entire data ingestion and transformations pipelines in Snowflake with minimal downtime.

Data Pipeline 83

Data Pipeline Management Data Ingestion Data 83

Rockset

JANUARY 30, 2024

With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. This is not a hands-free operation and also involves the transfer of data across nodes. Microbatching Rockset is known for its low-latency streaming data ingestion and indexing.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Snowflake

MARCH 21, 2023

In February, Snowflake launched new features around streaming data ingestion and data governance and improved SQL experience and performance, with enhancements to Search Optimization Service and more. Read on to learn about everything new announced in February. Read the announcement blog for more details and get started guides.

Retail 72

Retail Healthcare Data Ingestion Consulting 72

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

Big Data Datasets Data Analysis Media 52

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.

Data Ingestion 52

Data Ingestion Google Cloud Kafka AWS 52

Data Engineering Weekly

MARCH 24, 2024

[link] Freshworks: Modernizing analytics data ingestion pipeline from legacy engine to distributed processing engine The article discusses Freshworks' journey in modernizing its analytics data platform to handle increasing volumes of data efficiently.

Data Engineering 62

Data Engineering Data Engineer Engineering Metadata 62

Ascend.io

FEBRUARY 23, 2024

Before we explore the specific requirements your AI data platform, let’s evaluate your technical foundation’s readiness for AI. Is your data environment diverse and accessible enough to fuel AI algorithms? Robust Data Ingestion AI systems thrive on diverse data sources.

Cloud Storage 52

Cloud Storage Data Ingestion Machine Learning Algorithm 52

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

Lyft Engineering

NOVEMBER 29, 2023

Druid at Lyft Apache Druid is an in-memory, columnar, distributed, open-source data store designed for sub-second queries on real-time and historical data. Druid enables low latency (real-time) data ingestion, flexible data exploration and fast data aggregation resulting in sub-second query latencies.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Hevo

MAY 21, 2023

“If information is power, then immediate access to information is turbo power.”[1] This is why change data capture has become such a basic need for the modern data stack. Change Data Capture bridges the data-driven value chain by driving data ingestion from multiple sources, then transforming it on the go […]

Data Ingestion 52

Data Ingestion Data Accessible Accessibility 52

Snowflake

SEPTEMBER 14, 2023

Now, the team is on an ongoing mission to use Snowflake’s data platform to simplify the complexity of its tech stack. Snowflake simplifies data ingestion by consolidating batch and streaming, increasing Marriott’s speed to market—as soon as a customer transaction occurs, the data is available for consumption.

Data Architecture 95

Data Architecture Architecture Hadoop Data Warehouse 95

Towards Data Science

DECEMBER 1, 2023

The data volume we will deal with is small, so we will not try to overkill with data partitioning, time travel, Snowpark, and other Snowflake advanced capabilities. However, we will pay particular attention to Access Control (this will be used for dbt access). There are two ways to access dbt: dbt Cloud and dbt Core.

Data Engineering 73

Data Engineering Data Engineer Project Engineering 73

Precisely

MAY 13, 2024

A true enterprise-grade integration solution calls for source and target connectors that can accommodate: VSAM files COBOL copybooks open standards like JSON modern platforms like Amazon Web Services ( AWS ), Confluent , Databricks , or Snowflake Questions to ask each vendor: Which enterprise data sources and targets do you support?

Data Integration 52

Data Integration Metadata Amazon Web Services Data Governance 52

Snowflake

SEPTEMBER 13, 2023

Snowpark External Access – public preview External Access is in public preview on AWS regions. 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

Python 77

Python SQL Data Pipeline Data Ingestion 77

Knowledge Hut

APRIL 23, 2024

This guide will help you comprehend big data 4 characteristics to understand all the containing Vs! Volume: Quantity vs Accessibility Volume is the first of the four V's in big data and pertains to the size or magnitude of data being generated, collected, and stored. Consider both structured and unstructured data.

Big Data 52

Big Data Media Datasets Unstructured Data 52

Cloudera

FEBRUARY 9, 2021

You have the choice to either develop applications using one of the native Apache HBase applications, or you can use Apache Phoenix for data access. It works on top of Apache HBase, and it makes it possible to handle data using standard SQL queries. You can also access your data using the Hue HBase app.

Database 101

Database Java Data Ingestion SQL 101

Cloudyard

APRIL 4, 2024

Implementation: Implementation: We developed a Snowpark script to process customer transaction data stored in the Snowflake database. Data Ingestion: Reads customer transaction data from the “CUSTOMER_TRANSACTIONS” table in the Snowflake database. The script performs the following tasks: 1.Data

Retail 40

Retail Data Ingestion Metadata Datasets 40

Monte Carlo

JUNE 22, 2023

They combined these principles with FAIR , a popular framework in the world of pharma that stands for findability, accessibility, interoperability, and reusability. When they started this journey, the data team did not want to leave modeling and architecture behind. So they agreed to leverage Data Vault 2.0

Building 52

Building Data Ingestion Data Business Analyst 52

Cloudera

AUGUST 26, 2021

While we walk through the steps one by one from data ingestion to analysis, we will also demonstrate how Ozone can serve as an ‘S3’ compatible object store. Learn more about the impacts of global data sharing in this blog, The Ethics of Data Exchange. Data ingestion through ‘s3’. Ozone Namespace Overview.

Data Science 109

Data Science Cloud Hadoop Metadata 109

Data Engineering Podcast

OCTOBER 9, 2022

report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. The Ascend Data Automation Cloud provides a unified platform for data ingestion, transformation, orchestration, and observability. In fact, while only 3.5% That’s where our friends at Ascend.io

Food 100

Food MongoDB Scala MySQL 100

ProjectPro

FEBRUARY 6, 2023

Global Availability Users can access Google Cloud Pub/Sub from anywhere in the world. Due to user control over message storage, the service can provide fast, global data access. Features of Pub/Sub Let us look at some of the useful features Google Cloud Pub/Sub offers.

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Databand.ai

AUGUST 30, 2023

The core philosophy of DataOps is to treat data as a valuable asset that must be managed and processed efficiently. It emphasizes the importance of collaboration between different teams, such as data engineers, data scientists, and business analysts, to ensure that everyone has access to the right data at the right time.

Data Governance 52

Data Governance Data Pipeline Government Data Cleanse 52

AltexSoft

AUGUST 29, 2023

Examples of unstructured data can range from sensor data in the industrial Internet of Things (IoT) applications, videos and audio streams, images, and social media content like tweets or Facebook posts. Data ingestion Data ingestion is the process of importing data into the data lake from various sources.

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Data Engineering Podcast

SEPTEMBER 25, 2022

Summary Data integration from source systems to their downstream destinations is the foundational step for any data product. With the increasing expecation for information to be instantly accessible, it drives the need for reliable change data capture. In fact, while only 3.5% That’s where our friends at Ascend.io

Food 100

Food MongoDB Scala MySQL 100

Cloudera

JULY 9, 2021

If you’ve followed Cloudera for a while, you know we’ve long been singing the praises—or harping on the importance, depending on perspective—of a solid, standalone enterprise data strategy. The ways data strategies are implemented, the resulting outcomes and the lessons learned along the way provide important guardrails.

Government 110

Government Building Cloud Data Ingestion 110

Netflix Tech

MARCH 7, 2023

These media focused machine learning algorithms as well as other teams generate a lot of data from the media files, which we described in our previous blog , are stored as annotations in Marken. We store all OperationIDs which are in STARTED state in a distributed cache (EVCache) for fast access during searches. in a video file.

Data Ingestion 105

Data Ingestion Management Algorithm Media 105

Cloudera

DECEMBER 14, 2021

During the economic upheaval brought about by the COVID pandemic, the government of Australia was working with the Commonwealth Bank of Australia (CBA) to access real-time data about everyday financial transactions to understand the economic and social impacts of the crisis. Commonwealth Bank of Australia.

Transportation 107

Transportation Telecommunication Banking Data Lake 107

Cloudera

APRIL 20, 2021

It can access data from inside the business, like ERP and asset management, outside sources, like edge devices and external assets, and correlate them for real-time predictive maintenance. A modern streaming architecture consists of critical components that provide data ingestion, security and governance, and real-time analytics.

Hospitality 92

Hospitality Kafka Retail Data Ingestion 92

Ascend.io

JANUARY 23, 2023

The new usage screens in this week’s release consolidate cost data for them, and provide instant access and visualization for the workloads over time. To that end, we are rolling out new features that provide the necessary transparency with which to manage costs, guide new investments, and focus tuning efforts.

Data Pipeline 52

Data Pipeline Data Ingestion Datasets Data 52

Data Engineering Podcast

OCTOBER 2, 2022

Alvin is a platform that aims to provide a low effort solution for data lineage capabilities focused on simplifying the work of data engineers. report having current investments in automation, 85% of data teams plan on investing in automation in the next 12 months. In fact, while only 3.5% That’s where our friends at Ascend.io

IT 100

IT Food PostgreSQL MongoDB 100

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Monte Carlo

JANUARY 5, 2024

This architecture format consists of several key layers that are essential to helping an organization run fast analytics on structured and unstructured data. It supports ACID transactions and can run fast queries, typically through SQL commands, directly on object storage in the cloud or on-prem on structured and unstructured data.

Architecture 52

Architecture Data Lake Metadata Unstructured Data 52

Data Engineering Weekly

OCTOBER 30, 2022

Before you add another tool to your data stack, check out our latest guide for 10 things to consider when evaluating data observability platforms, including scalability, time to value, and ease of setup. The modern data stack is trying to address this problem in a silo; the org eventually has to tie everything to make it work.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Ingestion 52

RandomTrees

SEPTEMBER 6, 2020

The architecture is three layered: Database Storage: Snowflake has a mechanism to reorganize the data into its internal optimized, compressed and columnar format and stores this optimized data in cloud storage. This stage handles all the aspects of data storage like organization, file size, structure, compression, metadata, statistics.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Ascend.io

JANUARY 2, 2024

The key differentiation lies in the transformational steps that a data pipeline includes to make data business-ready. Ultimately, the core function of a pipeline is to take raw data and turn it into valuable, accessible insights that drive business growth. How will the data be accessed by different tools and applications?

Data Pipeline 52

Data Pipeline Building Raw Data Data Warehouse 52