Data Engineering Podcast

DECEMBER 8, 2019

Summary Data warehouses have gone through many transformations, from standard relational databases on powerful hardware, to column oriented storage engines, to the current generation of cloud-native analytical engines. Can you start by explaining what SnowflakeDB is for anyone who isn’t familiar with it?

Data Warehouse 100

Data Warehouse Cloud AWS Relational Database 100

Snowflake

MARCH 9, 2023

The platform at the heart of democratizing AI Wand’s objective was nothing short of a step-change for AI analytics, and the company knew it would need a robust, reliable, fast, and scalable data cloud at the heart of its operations. “We These processes would normally take twelve data scientists 18 months and cost millions.

Cloud 63

Cloud Unstructured Data Data Data Storage 63

Cloudera

MAY 17, 2021

Making a decision on a cloud data warehouse is a big deal. Modernizing your data warehousing experience with the cloud means moving from dedicated, on-premises hardware focused on traditional relational analytics on structured data to a modern platform.

Data Warehouse 89

Data Warehouse Cloud Government Metadata 89

Snowflake

MARCH 20, 2023

Hub Development Manager Andre Wittfoth explains how the company uses Snowflake’s Data Cloud to make sense of up to 80 million data events each day. Hub Leipzig began by replicating its sorting machine data in the Snowflake platform, expanding its existing structured data sources from three to 50.

Cloud 66

Cloud Business Intelligence Data Science Data 66

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics. How can the Cloud Help?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Cloudera

JUNE 25, 2021

Many Cloudera customers are making the transition from being completely on-prem to cloud by either backing up their data in the cloud, or running multi-functional analytics on CDP Public cloud in AWS or Azure. Configure the required ports to enable connectivity from CDH to CDP Public Cloud (see docs for details).

Cloud 71

Cloud Data Lake Cloud Storage Metadata 71

Data Engineering Weekly

MAY 5, 2024

link] Daniel Beach: Delta Lake - Map and Array data types Having a well-structured data model is always great, but we often handle semi-structured data. The fact that the nature of the event sourcing mostly deals with JSON structure adds more complexity. However, the Map and Array comes with its cost.

Data Engineering 67

Data Engineering Data Engineer Engineering Google Cloud 67

Christophe Blefari

JANUARY 14, 2024

Fast News ⚡️ dbt related stuff Download artifacts from you dbt Cloud job runs — a tutorial from a CLI tool to generate ERD diagrams for dbt Cloud projects. Every data transform is technical debt. How BigQuery stores semi-structured data? Mixpanel modern data stack fast lane.

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Google Cloud Data SQL Python 130

ProjectPro

AUGUST 11, 2021

This means that a data warehouse is a collection of technologies and components that are used to store data for some strategic use. Data is collected and stored in data warehouses from multiple sources to provide insights into business data. Data from data warehouses is queried using SQL.

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Netflix Tech

MARCH 5, 2019

All these micro-services are currently operated in AWS cloud infrastructure. While our engineering teams have and continue to build solutions to lighten this cognitive load (better guardrails, improved tooling, …), data and its derived products are critical elements to understanding, optimizing and abstracting our infrastructure.

Cloud 73

Cloud Building Amazon Web Services Metadata 73

Snowflake

JANUARY 24, 2024

And when managed in a single secure location, data can be more easily protected, ensuring that only the right people have access to it. This modernization strategy will center around investing in cloud-based data platforms to integrate and scale agencies’ data/technology stacks. This will be enabled in the U.S.

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Government Data Management Cloud Data 98

Snowflake

JULY 27, 2023

This article is based on Stephan’s presentation during the Snowflake Data World Tour 2022. Join us at this year’s world tour to learn more about the latest innovations to Snowflake’s Data Cloud. Once the data is in the warehouse, we are leveraging Snowflake’s data warehousing features to handle it.

Data Architecture 52

Data Architecture Architecture Building Structured Data 52

Azure Data Engineering

MAY 15, 2022

When it comes to transforming structured data, (e.g., The Stored Procedure Activity in Data Factory provides and simple and convenient way to execute Stored Procedures. We have discussed Data Factory Stored Procedure Activity briefly in a previous post. applying business logic, standardization etc.)

SQL 130

SQL Database Structured Data Data 130

Knowledge Hut

APRIL 23, 2024

Data storing and processing is nothing new; organizations have been doing it for a few decades to reap valuable insights. Compared to that, Big Data is a much more recently derived term. So, what exactly is the difference between Traditional Data and Big Data? This feature makes it more scalable and also cost-effective.

Big Data 52

Big Data Relational Database Data Datasets 52

Snowflake

MARCH 18, 2024

Think back just a few years ago when most enterprises were either planning or just getting started on their cloud journeys. The pandemic hit and, virtually overnight, the need to radically change ways of working pushed those cloud journeys into overdrive. Migrating to the cloud made that possible. Our research supports this.

Unstructured Data 87

Unstructured Data Government Data Pipeline Cloud 87

Data Engineering Weekly

APRIL 7, 2024

link] Sponsored: Cloud Academy's Solution to Enhanced Embedded Analytics Cloud Academy, a SaaS e-learning platform, needed to deliver a seamless, highly available embedded analytics experience for their enterprise customers. . The emerging of composable data stack, and open data stack is certainly an interesting trend to watch.

Data Engineering 70

Data Engineering Data Engineer Engineering Unstructured Data 70

Striim

MAY 1, 2024

This platform acts as the primary structured data repository in Google Cloud. Concurrently, SQL Server data is thoroughly cleaned in Link Data, which also extracts images and email attachments from different systems, ensuring data integrity and availability. Sign up for a free trial today!

Google Cloud 52

Google Cloud Insurance Finance Machine Learning 52

Knowledge Hut

JULY 24, 2023

Get ready to discover fascinating insights, uncover mind-boggling facts, and explore the transformative potential of cutting-edge technologies like blockchain, cloud computing, and artificial intelligence. Disruptive Database Technologies All existing and upcoming businesses are adopting innovative ways of handling data.

Database 52

Database NoSQL Management Relational Database 52

Knowledge Hut

SEPTEMBER 26, 2023

Microsoft Azure, also known as Azure, is a well-known cloud computing service offered by Microsoft. It offers a wide range of services, including computing, storage, databases, machine learning, and analytics, making it a versatile choice for businesses looking to harness the power of the cloud. What is Azure Synapse?

Data Lake 52

Data Lake Database-centric Pipeline-centric Machine Learning 52

ThoughtSpot

MARCH 5, 2024

Schedule refreshes to keep ThoughtSpot analytics up to date by automatically incorporating new data into Liveboards, NL Searches, and Answers. Simplifiy multi-structured data integration by federating JSON, XML, and other formats through Snowflake for analysis.

BI 94

BI Datasets Raw Data SQL 94

Knowledge Hut

MARCH 18, 2024

It offers APIs that provide real-time weather data to websites for display. What is Web Service in Cloud Computing? In simple words, web services in cloud computing are linkages that connect one process or program to another over the Internet in cloud computing. It sends XML data in the form of messages.

Cloud Computing 52

Cloud Computing Programming Language Amazon Web Services Transportation 52

Towards Data Science

JANUARY 16, 2024

Data lakes were introduced to store the new data formats. Image by the author 2010 to 2020 - The Cloud Data Warehouse Enterprises now wanted quick data analytics without yesterday’s constraints of flexibility, processing power and scale. So what was missing?

Data Warehouse 67

Data Warehouse Data Architecture Relational Database NoSQL 67

Monte Carlo

AUGUST 25, 2023

Modern companies are ingesting, storing, transforming, and leveraging more data to drive more decision-making than ever before. At the same time, 81% of IT leaders say their C-suite has mandated no additional spending or a reduction of cloud costs. Teams using a data warehouse usually leverage SQL queries for analytics use cases.

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Knowledge Hut

JANUARY 30, 2024

Its flexibility allows organizations to leverage data value, regardless of its format or source, and can reside in various storage environments, from on-premises solutions to cloud-based platforms or a hybrid approach, tailored to the organization's specific needs and strategies. Analyzing and deriving valuable insights from data.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

AltexSoft

MAY 12, 2023

What is unstructured data? Definition and examples Unstructured data , in its simplest form, refers to any data that does not have a pre-defined structure or organization. It can come in different forms, such as text documents, emails, images, videos, social media posts, sensor data, etc.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

JUNE 7, 2022

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 110

IT Unstructured Data Data Architecture Government 110

Knowledge Hut

FEBRUARY 6, 2024

PowerShell for windows: A cross-platform automation and configuration framework or tool, that deals with structured data, REST APIs and object models. Filesystem architecture The architectural layout of how and in what hierarchy the data is organized on a disk, will make your task of managing data easier.

Engineering 98

Engineering Programming Language Amazon Web Services Google Cloud 98

Knowledge Hut

APRIL 25, 2023

Here, we'll take a look at the top data engineer tools in 2023 that are essential for data professionals to succeed in their roles. These tools include both open-source and commercial options, as well as offerings from major cloud providers like AWS, Azure, and Google Cloud. What are Data Engineering Tools?

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Snowflake

MARCH 14, 2024

SNP Glue and the Snowflake Native App advantage “SNP developed SNP Glue to unlock SAP data from SAP ECC, SAP S/4HANA and SAP BW sources so it could be used for other purposes, in whatever cloud or analytics platform they require,” says Joe Bartoletti, Head of Global SNP Glue GTM at SNP Group.

IT 93

IT Data Ingestion Data AWS 93

Knowledge Hut

FEBRUARY 29, 2024

A database is a structured data collection that is stored and accessed electronically. File systems can store small datasets, while computer clusters or cloud storage keeps larger datasets. According to a database model, the organization of data is known as database design.

Data Science 98

Data Science Datasets Database Design Machine Learning 98

Precisely

MARCH 9, 2023

As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Data lakes are often used for situations in which an organization wishes to store information for possible future use.

Data Lake 59

Data Lake Data Warehouse Hadoop Raw Data 59

U-Next

MARCH 1, 2023

Let’s discuss some of the key responsibilities of a Data Engineer: Data Engineers are responsible for deploying the solutions they design and build, and they should have a good knowledge of cloud platforms like AWS, Azure, etc. What is AWS Kinesis? What are the components of AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

Knowledge Hut

NOVEMBER 3, 2023

MongoDB is used for data science, meaning that we utilize the capabilities of this NoSQL database system as part of our data analysis and data modeling processes, which fall under the realm of data science. There are several benefits to MongoDB for data science operations. all in one place collaboratively.

MongoDB 52

MongoDB Data Science NoSQL ETL Tools 52

Snowflake

JULY 24, 2023

From legacy infrastructure to a cross-functional ecosystem in one migration Since Fortum was already using Snowflake for other use cases, it decided to carry out a proof of concept (PoC) using Snowflake’s Data Cloud to show that it could meet the company’s financial reporting needs.

Building 52

Building Engineering Finance Data Lake 52

Monte Carlo

JULY 19, 2023

Its powerful selection of tooling components combine to create a single synchronized and extensible data platform with each layer serving a unique function of the data pipeline. Unlike ogres, however, the cloud data platform isn’t a fairy tale. Data transformation Okay, so your data needs to live in the cloud.

Building 96

Building Business Intelligence Cloud Storage BI 96

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value. Enter Snowpark !

Engineering 83

Engineering Raw Data Data Science Scala 83

Snowflake

APRIL 17, 2023

Panther Labs improves point lookup queries by 100x for VARIANT data types The new features in the Search Optimization Service enable our customers to easily search in logs and semi-structured data stored in VARIANT, ARRAY, and OBJECT columns.

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Food Structured Data Utilities Accessible 57