Snowflake

NOVEMBER 2, 2023

Over the years, the technology landscape for data management has given rise to various architecture patterns, each thoughtfully designed to cater to specific use cases and requirements. These patterns include both centralized storage patterns like data warehouse , data lake and data lakehouse , and distributed patterns such as data mesh.

Data Lake 94

Data Lake Data Warehouse Cloud Unstructured Data 94

phData: Data Engineering

SEPTEMBER 19, 2023

With the amount of data companies are using growing to unprecedented levels, organizations are grappling with the challenge of efficiently managing and deriving insights from these vast volumes of structured and unstructured data. What is a Data Lake? Consistency of data throughout the data lake.

Data Lake 52

Data Lake Process Metadata Data Warehouse 52

Preset

MAY 24, 2021

Visualize your data lake using AWS Athena and Apache Superset™. | AWS Athena Tutorial

Data Lake 52

Data Lake AWS Data 52

AltexSoft

AUGUST 29, 2023

In 2010, a transformative concept took root in the realm of data storage and analytics — a data lake. The term was coined by James Dixon , Back-End Java, Data, and Business Intelligence Engineer, and it started a new era in how organizations could store, manage, and analyze their data. What is a data lake?

Data Lake 52

Data Lake Architecture IT Amazon Web Services 52

Data Engineering Podcast

SEPTEMBER 1, 2021

Summary The Presto project has become the de facto option for building scalable open source analytics in SQL for the data lake. Another area that has been seeing a lot of activity is data lakes and projects to make them more manageable and feature complete (e.g. Hudi, Delta Lake, Iceberg, Nessie, LakeFS, etc.).

Data Lake 100

Data Lake Cloud AWS SQL 100

ProjectPro

FEBRUARY 8, 2023

Do ETL and data integration activities seem complex to you? AWS Glue is here to put an end to all your worries! Read this blog to understand everything about AWS Glue that makes it one of the most popular data integration solutions in the industry. Did you know the global big data market will likely reach $268.4

AWS 98

AWS Scala Metadata Data Lake 98

Data Engineering Podcast

FEBRUARY 18, 2024

Summary A data lakehouse is intended to combine the benefits of data lakes (cost effective, scalable storage and compute) and data warehouses (user friendly SQL interface). Data lakes are notoriously complex. Visit [dataengineeringpodcast.com/data-council]([link] and use code *depod20* to register today!

Data Lake 262

Data Lake High Quality Data Data Warehouse Google Cloud 262

Edureka

JULY 16, 2024

However, going from data to the shape of a model in production can be challenging as it comprises data preprocessing, training, and deployment at a large scale. Amazon SageMaker, an AWS-managed AI service, is created to support enterprises on this journey and make it efficient and easy. Table of Content What is Amazon SageMaker?

AWS 52

AWS Algorithm Machine Learning Amazon Web Services 52

Data Engineering Podcast

JUNE 16, 2024

In this episode Kevin Liu shares some of the interesting features that they have built by combining those technologies, as well as the challenges that they face in supporting the myriad workloads that are thrown at this layer of their data platform.

Data Lake 147

Data Lake High Quality Data Metadata Machine Learning 147

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. Structuring data refers to converting unstructured data into tables and defining data types and relationships based on a schema. What is Data Lake? . Athena on AWS. .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

phData: Data Engineering

APRIL 4, 2023

Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format. Amazon S3 is an object storage service from Amazon Web Services (AWS) that offers industry-leading scalability, data availability, security, and performance.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

Knowledge Hut

NOVEMBER 2, 2023

As an AWS Cloud Practitioner with experience in delivering multiple AWS cloud practitioner projects, I vividly recall assisting a startup to prove the scalability of their AI solution on AWS during one of my early projects. This will pique your interest in using the AWS platform.

AWS 52

AWS Coding Cloud Project 52

Data Engineering Podcast

DECEMBER 24, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Kafka 245

Kafka Data Lake High Quality Data SQL 245

Knowledge Hut

SEPTEMBER 25, 2023

Notably, there are several prominent cloud service providers in the market, such as Amazon AWS, Google GCP, and Microsoft Azure. In this blog, we will focus on the certifications offered by Amazon AWS. We will specifically talk about the AWS certification exam, AWS certification cost, and Amazon certification path.

AWS 52

AWS Certification Amazon Web Services Cloud Computing 52

Edureka

JULY 4, 2024

Frustrated due to that cumbersome big data? Overwhelmed with log files and sensor data? It is a cloud-based service by Amazon Web Services (AWS) that simplifies processing large, distributed datasets using popular open-source frameworks, including Apache Hadoop and Spark. What is EMR in AWS?

AWS 52

AWS Amazon Web Services Hadoop Big Data 52

Start Data Engineering

MAY 11, 2022

AWS Infrastructure costs 4.3 Data lake structure 5. Loading user purchase data into the data warehouse 5.2 Loading classified movie review data into the data warehouse 5.3 Introduction 2. Objective 3. Prerequisite 4.2 Code walkthrough 5.1 Generating user behavior metric 5.4. Checking results 6.

Data Engineering 246

Data Engineering Data Engineer Project Data Lake 246

Knowledge Hut

SEPTEMBER 21, 2023

The AWS Certified Solutions Architect Certification is one of the most demanding and valuable exams if you plan to build a cloud technology career. It will determine that you have a fundamental knowledge of the AWS Cloud and have supreme experience in creating well and good infrastructure.

AWS 52

AWS Amazon Web Services Transportation Certification 52

Knowledge Hut

SEPTEMBER 29, 2023

As I embarked on my journey to obtain an AWS security certification, I quickly realized that meeting the prerequisites was essential to ensure a strong foundation. Join me as we explore the essential steps on the path to becoming an AWS security expert. What is AWS Security Certification?

AWS 52

AWS Certification Amazon Web Services Data Lake 52

Cloudera

SEPTEMBER 15, 2023

Next — working backwards — collaboration tooling such as dashboards and developer environments like those on Amazon Web Services (AWS), are also key components to consider. Underneath all of this are the data assets themselves, with appropriate governance (e.g.

Telecommunication 80

Telecommunication AWS Retail Amazon Web Services 80

Data Engineering Podcast

FEBRUARY 4, 2024

In this episode Yingjun Wu explains how it is architected to power analytical workflows on continuous data flows, and the challenges of making it responsive and scalable. Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management Data lakes are notoriously complex.

SQL 173

SQL Data Lake High Quality Data Data Pipeline 173

Data Engineering Podcast

NOVEMBER 26, 2023

Data lakes are notoriously complex. For data engineers who battle to build and scale high quality data workflows on the data lake, Starburst powers petabyte-scale SQL analytics fast, at a fraction of the cost of traditional methods, so that you can meet all your data needs ranging from AI to data applications to complete analytics.

Architecture 147

Architecture Data Lake High Quality Data SQL 147

Knowledge Hut

SEPTEMBER 27, 2023

Compelling storytelling using data can convert data points into insights and insights into decision-making for the business. AWS QuickSight and Microsoft Power BI are two powerful tools in this space that have redefined data visualization. SPICE, an in-memory computation engine, is used to ensure rapid data analysis.

BI 52

BI AWS Database-centric Data Lake 52

ProjectPro

AUGUST 11, 2021

“Data Lake vs Data Warehouse = Load First, Think Later vs Think First, Load Later” The terms data lake and data warehouse are frequently stumbled upon when it comes to storing large volumes of data. Data Warehouse Architecture What is a Data lake? What is a Data lake?

Data Lake 52

Data Lake Data Warehouse Cloud Hadoop 52

Knowledge Hut

MARCH 19, 2024

AWS is the gold standard of Cloud Computing and has some reasons for it. It offers more than 170 AWS services to the developers so they can use them from anywhere when required. AWS Applications provide many services, from storage to serverless computing, and can be tailored to meet diverse business requirements. What is AWS?

AWS 52

AWS Cloud Computing Amazon Web Services Relational Database 52

Data Engineering Podcast

MARCH 10, 2024

Summary Data lakehouse architectures are gaining popularity due to the flexibility and cost effectiveness that they offer. The link that bridges the gap between data lake and warehouse capabilities is the catalog. Data lakes are notoriously complex. What is involved in integrating Nessie into a given data stack?

Data Lake 147

Data Lake High Quality Data Data Pipeline Architecture 147

Knowledge Hut

OCTOBER 6, 2023

Recently, the AWS Data Analytics Certification has captured my attention, and I have been researching the many AWS data analytics certification benefits. With the convenience of Amazon AWS online training , this certification offers a flexible and accessible learning path. What is AWS Data Analytics?

AWS 52

AWS Certification Data Analytics IT 52

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. Why AWS Data Analytics?

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. AWS Glue Job Interview Questions For Experienced Mention some of the significant features of AWS Glue.

AWS 52

AWS ETL Tools Data Lake Scala 52

ProjectPro

JUNE 16, 2022

An AWS data pipeline helps businesses move and unify their data to support several data-driven initiatives. It enables flow from a data lake to an analytics database or an application to a data warehouse. AWS CLI is an excellent tool for managing Amazon Web Services.

Data Pipeline 59

Data Pipeline AWS Amazon Web Services Data Consolidation 59

Knowledge Hut

NOVEMBER 17, 2023

AWS has changed the life of data scientists by making all the data processing, gathering, and retrieving easy. One popular cloud computing service is AWS (Amazon Web Services). Many people are going for Data Science Courses in India to leverage the true power of AWS. What is Amazon Web Services (AWS)?

AWS 52

AWS Data Science Certification Amazon Web Services 52

Snowflake

NOVEMBER 11, 2024

Snowflake Unistore consolidates both into a single database so users get a drastically simplified architecture with less data movement and consistent security and governance controls. Ingest data more efficiently and manage costs For data managed by Snowflake, we are introducing features that help you access data easily and cost-effectively.

Data Architecture 77

Data Architecture Architecture Data Lake Kafka 77

Hevo

JUNE 20, 2024

AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases.

Amazon Web Services 40

Amazon Web Services Data Lake Data Storage AWS 40

Hevo

JUNE 20, 2024

AWS (Amazon Web Services) is one of the leading providers of Cloud Services. It provides Cloud services like Amazon Redshift, Amazon S3, and many others for Data Storage. Extract, Transform, Load are 3 important steps performed in the field of Data Warehousing and Databases.

Amazon Web Services 40

Amazon Web Services Data Lake Data Storage AWS 40

Knowledge Hut

SEPTEMBER 21, 2023

If you are looking for guidance on the AWS certification exam preparation, you are in the right place! I am an AWS-certified solutions architect associate. I have hands-on experience on AWS for about 4+ years. In this article, I will walk you through your AWS exam preparation process. What is an AWS Certification?

AWS 52

AWS Certification Machine Learning Cloud 52

Data Engineering Podcast

MAY 14, 2023

Announcements Hello and welcome to the Data Engineering Podcast, the show about modern data management RudderStack helps you build a customer data platform on your warehouse or data lake. Rudderstack]([link] RudderStack provides all your customer data pipelines in one platform.

Data Lake 147

Data Lake Machine Learning Data Warehouse AWS 147

ProjectPro

JANUARY 24, 2023

A survey by Data Warehousing Institute TDWI found that AWS Glue and Azure Data Factory are the most popular cloud ETL tools with 69% and 67% of the survey respondents mentioning that they have been using them. Azure Data Factory and AWS Glue are powerful tools for data engineers who want to perform ETL on Big Data in the Cloud.

AWS 52

AWS Cloud Amazon Web Services ETL Tools 52

ProjectPro

FEBRUARY 16, 2023

ETL is a critical component of success for most data engineering teams, and with teams harnessing it with the power of AWS, the stakes are higher than ever. Data Engineers and Data Scientists require efficient methods for managing large databases, which is why centralized data warehouses are in high demand.

AWS 52

AWS Data Management ETL Tools Management 52