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 Engineer 111

Data Engineer Data Engineering Scala Engineering 111

Data Engineering Podcast

SEPTEMBER 22, 2019

You listen to this show to learn and stay up to date with what’s happening in databases, streaming platforms, big data, and everything else you need to know about modern data management.For even more opportunities to meet, listen, and learn from your peers you don’t want to miss out on this year’s conference season.

AWS 100

AWS Google Cloud Cloud Storage Data Lake 100

Cloudera

OCTOBER 26, 2020

*For clarity, the scope of the current certification covers CDP-Private Cloud Base. Certification of CDP-Private Cloud Experiences will be considered in the future. The certification process is designed to validate Cloudera products on a variety of Cloud, Storage & Compute Platforms.

Certification 87

Certification Cloud Kafka Unstructured Data 87

Knowledge Hut

JUNE 26, 2023

Welcome to the world of data engineering, where the power of big data unfolds. If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. If data scientists and analysts are pilots, data engineers are aircraft manufacturers.

Data Engineer 98

Data Engineer Data Engineering Coding Project 98

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 Machine Learning Database Design 98

AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

Cloudera

FEBRUARY 14, 2019

The Cloudera platform delivers a one-stop shop that allows you to store any kind of data, process and analyze it in many different ways in a single environment, and integrate with the rest of your data infrastructure. But working with cloud storage has often been a compromise. As a Hadoop developer, I loved that!

Data Lake 60

Data Lake Hadoop Cloud Storage Cloud 60

AltexSoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. It offers high throughput, low latency, and scalability that meets the requirements of Big Data. Cloudera , focusing on Big Data analytics.

Kafka 93

Kafka Hadoop Big Data ETL Tools 93

Towards Data Science

NOVEMBER 4, 2023

Indeed, why would we build a data connector from scratch if it already exists and is being managed in the cloud? Very often it is row-based and might become quite expensive on an enterprise level of data ingestion, i.e. big data pipelines. The downside of this approach is it’s pricing model though. Image by author.

Data Engineer 98

Data Engineer Data Engineering Engineering BI 98

Knowledge Hut

DECEMBER 26, 2023

You will retain use of the following Google Cloud application deployment environments: App Engine, Kubernetes Engine, and Compute Engine. Select and use one of Google Cloud's storage solutions, which include Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.

Certification 95

Certification Java Google Cloud Education 95

Knowledge Hut

NOVEMBER 17, 2023

Object Storage, also known as distributed object storage, is hosted services used to store and access a large number of blobs or binary data. Google Compute Engine uses Google Cloud Storage to provide this service, while AWS uses the S3 service for this. Big data and machine learning are the main areas of GCP.

Google Cloud 98

Google Cloud AWS Cloud Cloud Computing 98

Towards Data Science

MARCH 5, 2024

In that case, queries are still processed using the BigQuery compute infrastructure but read data from GCS instead. Such external tables come with some disadvantages but in some cases it can be more cost efficient to have the data stored in GCS. Load data For data ingestion Google Cloud Storage is a pragmatic way to solve the task.

Bytes 97

Bytes Google Cloud Cloud Storage Utilities 97

Towards Data Science

APRIL 26, 2023

Moreover, the data will need to leave the cloud env to go on our machine, which is not exactly secure and auditable. At the end of the cycle, we will have an analytics app that can be used to both visualize and query the data in real time with virtually no infra costs.

Engineering 96

Engineering Data Lake AWS BI 96

AltexSoft

MAY 12, 2023

As the data world evolves, more formats may emerge, and existing formats may be adapted to accommodate new unstructured data types. Unstructured data and big data Unstructured and big data are related concepts, but they aren’t the same. MongoDB, Cassandra), and big data processing frameworks (e.g.,

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

ProjectPro

FEBRUARY 6, 2023

Build a Job Winning Data Engineer Portfolio with Solved End-to-End Big Data Projects. Features of Pub/Sub Let us look at some of the useful features Google Cloud Pub/Sub offers. Global Availability Users can access Google Cloud Pub/Sub from anywhere in the world. PREVIOUS NEXT <

Google Cloud 52

Google Cloud Cloud Cloud Storage Data Ingestion 52

Knowledge Hut

DECEMBER 26, 2023

Look for AWS Cloud Practitioner Essentials Training online to learn the fundamentals of AWS Cloud Computing and become an expert in handling the AWS Cloud platform. Civis Analytics Civis Analytics is a big data Cloud tool used to centralize data, manage services, and scale up organizations.

Cloud Computing 98

Cloud Computing Cloud Amazon Web Services AWS 98

Big Data Tools

JUNE 8, 2022

And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. It shouldn’t come as a surprise that Cloudera managed to achieve this, as they know how to create on-premise data engineering products. Of course, the main topic is data streaming.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

Big Data Tools

JUNE 8, 2022

And yet it is still compatible with different clouds, storage formats (including Kudu , Ozone , and many others), and storage engines. It shouldn’t come as a surprise that Cloudera managed to achieve this, as they know how to create on-premise data engineering products. Of course, the main topic is data streaming.

Data Engineer 52

Data Engineer Data Engineering Engineering Kafka 52

RandomTrees

SEPTEMBER 6, 2020

Snowflake architecture provides flexibility with big data. It allows decoupling of the storage and compute functions, which allows the organizations to conveniently scale up or down as needed and pay only for the resources that are used. The data objects are accessible only through SQL query operations run using Snowflake.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Knowledge Hut

FEBRUARY 2, 2024

Artificial Intelligence Course With the availability of big data and the rapid development of Machine Learning, Artificial Intelligence is the game’s name, as witnessed by the massive rise in the number of businesses depending on AI. And what better solution than cloud storage?

Programming Language 98

Programming Language Amazon Web Services Java Cloud Computing 98

Cloudera

MAY 18, 2021

The intent of this article is to articulate and quantify the value proposition of CDP Public Cloud versus legacy IaaS deployments and illustrate why Cloudera technology is the ideal cloud platform to migrate big data workloads off of IaaS deployments. Multi-Cloud Management. Single-cloud visibility with Ambari.

Hadoop 86

Hadoop Cloud AWS Utilities 86

Knowledge Hut

MARCH 7, 2024

The Singapore-based company boasts a robust cloud infrastructure and provides a wide range of cloud services to users. Some prominent cloud services offered by Alibaba Cloud include database storage, large-scale computing, network visualization, elastic computing, big data analytics, and management services.

Cloud Computing 98

Cloud Computing Amazon Web Services Cloud Google Cloud 98

ProjectPro

SEPTEMBER 6, 2021

Amazon brought innovation in technology and enjoyed a massive head start compared to Google Cloud, Microsoft Azure , and other cloud computing services. It developed and optimized everything from cloud storage, computing, IaaS, and PaaS. AWS S3 and GCP Storage Amazon and Google both have their solution for cloud storage.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

Knowledge Hut

NOVEMBER 16, 2023

Why Use Azure for Data Science? Data Science is heavily reliant on computing resources. Building Machine Learning (ML) or Artificial Intelligence ( AI ) models, requires work on big data. The computing needs to manage the big data is costly if we decide to set up an on-premises server and computing capabilities.

Data Science 52

Data Science Technology Cloud Computing Programming Language 52

ProjectPro

JANUARY 24, 2023

BigQuery enables users to store data in tables, allowing them to quickly and easily access their data. It supports structured and unstructured data, allowing users to work with various formats. BigQuery also supports many data sources, including Google Cloud Storage, Google Drive, and Sheets.

Bytes 52

Bytes Google Cloud Data Warehouse Cloud Storage 52

ProjectPro

AUGUST 24, 2021

Data Sourcing: Building pipelines to source data from different company data warehouses is fundamental to the responsibilities of a data engineer. So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. This big data project discusses IoT architecture with a sample use case.

Data Engineer 52

Data Engineer Data Engineering Coding Project 52

Precisely

MARCH 10, 2023

Think back to the early 2000s, a time of big data warehouses with rigid structures. Organizations searched for ways to add more data, more variety of data, bigger sets of data, and faster computing speed. There was a massive expansion of efforts to design and deploy big data technologies.

Datasets 59

Datasets Data Warehouse Big Data Data Analytics 59

ProjectPro

FEBRUARY 8, 2023

Demand for ETL Developer Jobs With the increasing importance of ETL in data management for data-driven decision-making, the need for ETL developers is likely to grow in the coming years. Gartner lists ETL among the top 10 in-demand skills for big data professionals. PREVIOUS NEXT <

ETL Tools 52

ETL Tools Data Cleanse Data Warehouse Big Data 52

AltexSoft

MARCH 30, 2023

To dive deeper into details, read our article Data Lakehouse: Concept, Key Features, and Architecture Layers. The lakehouse platform was founded by the creators of Apache Spark , a processing engine for big data workloads. The platform can become a pillar of a modern data stack , especially for large-scale companies.

Scala 64

Scala Data Lake Machine Learning BI 64

Knowledge Hut

NOVEMBER 16, 2023

The AWS services cheat sheet will provide you with the basics of Amazon Web Service, like the type of cloud, services, tools, commands, etc. Opt for Cloud Computing Courses online to develop your knowledge of cloud storage, databases, networking, security, and analytics and launch a career in Cloud Computing.

AWS 52

AWS Amazon Web Services Cloud Computing Cloud Storage 52

Confluent

FEBRUARY 6, 2019

Say you wanted to build one integration pipeline from MQTT to Kafka with KSQL for data preprocessing, and use Kafka Connect for data ingestion into HDFS, AWS S3 or Google Cloud Storage, where you do the model training. New MQTT input data can directly be used in real time to make predictions.

Machine Learning 107

Machine Learning Python Kafka Java 107

Knowledge Hut

APRIL 23, 2024

Big Data Analysis: UBER Uber is a smartphone app that summons transportation and connects users to go to places if they are looking for a ride. It helps in storing user data and connects them with other users who are providing them with services. The entire business model is based on the big data principle for crowdsourcing.

Cloud Computing 52

Cloud Computing Cloud Amazon Web Services AWS 52

U-Next

SEPTEMBER 7, 2022

Data lakes, however, are sometimes used as cheap storage with the expectation that they are used for analytics. For building data lakes, the following technologies provide flexible and scalable data lake storage : . Gen 2 Azure Data Lake Storage . Cloud storage provided by Google .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

Knowledge Hut

NOVEMBER 16, 2023

Choosing the Right AWS Certificate Most enterprises have switched over to cloud-based platforms, tweaking their marketing strategies to suit the needs of their customers. Cloud storage, sharing, and services have been in vogue for a few years now, gaining more popularity and business with each passing year.

AWS 52

AWS Certification Cloud Computing Big Data 52

RandomTrees

SEPTEMBER 17, 2024

In the realm of big data and AI, managing and securing data assets efficiently is crucial. Databricks addresses this challenge with Unity Catalog, a comprehensive governance solution designed to streamline and secure data management across Databricks workspaces. GCS buckets on Google Cloud.

Data Governance 52

Data Governance Government Metadata Machine Learning 52

Monte Carlo

APRIL 24, 2023

It’s frustrating…[Lake Formation] is a step-level change for how easy it is to set up data lakes,” he said. Google Cloud Platform and/or BigLake Google offers a couple options for building data lakes. Teradata VantageCloud Teradata offers a comprehensive data lake solution through its VantageCloud platform.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

U-Next

JUNE 30, 2022

Cloud computing interview questions and answers. The collection of networking, gear, applications and data that provides or sells computing through the internet is known as the cloud. Computational and data capabilities that suppliers might sell over the web. 2) What advantages does cloud computing offer?

Cloud Computing 52

Cloud Computing Cloud Cloud Storage Technology 52