Towards Data Science

DECEMBER 15, 2023

So, you set up data systems and start filling up those tables or topics. After a few years go by you can end up with huge volumes of data. Maybe you need to scale up to a cloud storage provider like Snowflake or AWS to keep up and make all this data accessible at the pace you need. You’re using the data, of course!

Machine Learning 98

Machine Learning Data Science Data Security Data Storage 98

AltexSoft

FEBRUARY 11, 2023

To get a better understanding of a data architect’s role, let’s clear up what data architecture is. Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. Sample of a high-level data architecture blueprint for Azure BI programs.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Edureka

APRIL 14, 2025

Integration with Azure and Data Sources Fabric is deeply integrated with Azure tools such as Synapse, Data Factory, and OneLake. This allows seamless data movement and end-to-end workflows within the same environment. Its flexibility suits advanced users creating end-to-end data solutions.

BI 40

BI Business Intelligence Raw Data Retail 40

Cloudera

FEBRUARY 7, 2019

With the right technology now in place, ATB Financial is landing and curating more data than ever to bring data-driven insights to the business and its customers. Implementing a Modern Data Architecture.

Big Data 67

Big Data Utilities Google Cloud Data Analytics 67

phData: Data Engineering

APRIL 4, 2023

Today we want to introduce Fivetran’s support for Amazon S3 with Apache Iceberg, investigate some of the implications of this feature, and learn how it fits into the modern data architecture as a whole. Fivetran today announced support for Amazon Simple Storage Service (Amazon S3) with Apache Iceberg data lake format.

Data Lake 52

Data Lake Amazon Web Services Data Cleanse Data Warehouse 52

AltexSoft

MAY 12, 2023

These robust security measures ensure that data is always secure and private. There are several widely used unstructured data storage solutions such as data lakes (e.g., Amazon S3, Google Cloud Storage, Microsoft Azure Blob Storage), NoSQL databases (e.g., Build data architecture.

Unstructured Data 59

Unstructured Data NoSQL Hadoop Data Lake 59

Cloudera

AUGUST 21, 2020

Data-in-motion is predominantly about streaming data so enterprises typically have two different ways or binary ways of looking at data. This can extend to streaming analytics capabilities into any cloud environment.

Banking 62

Banking Kafka Cloud Storage Government 62

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

Rockset

AUGUST 4, 2021

Organizations that depend on data for their success and survival need robust, scalable data architecture, typically employing a data warehouse for analytics needs. Snowflake is often their cloud-native data warehouse of choice. Snowflake provides a couple of ways to load data.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

know.bi

JUNE 15, 2022

A lot of new transforms and actions have appeared, and Apache Hop integrates a lot better with existing data architectures. Container and cloud support : Hop comes with a pre-built container image for long-lived (Hop Server) and short-lived (Hop Run) scenarios.

Metadata 52

Metadata Data Integration Cloud Storage Project 52

Knowledge Hut

SEPTEMBER 26, 2023

Key connectivity features include: Data Ingestion: Databricks supports data ingestion from a variety of sources, including data lakes, databases, streaming platforms, and cloud storage. This flexibility allows organizations to ingest data from virtually anywhere.

Data Lake 52

Data Lake Database-centric Machine Learning Pipeline-centric 52

AltexSoft

MARCH 30, 2023

Databricks lakehouse platform architecture. Source: Databricks Delta Lake is an open-source, file-based storage layer that adds reliability and functionality to existing data lakes built on Amazon S3, Google Cloud Storage, Azure Data Lake Storage, Alibaba Cloud, HDFS ( Hadoop distributed file system), and others.

Scala 64

Scala Data Lake Machine Learning BI 64

ProjectPro

JANUARY 19, 2022

Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with. Companies are increasingly substituting physical servers with cloud services, so data engineers need to know about cloud storage and cloud computing.

Data Engineer 52

Data Engineer Data Engineering Engineering Data Storage 52

Ascend.io

AUGUST 31, 2023

In the dynamic world of data, many professionals are still fixated on traditional patterns of data warehousing and ETL, even while their organizations are migrating to the cloud and adopting cloud-native data services. Central to this transformation are two shifts.

Data Lake 52

Data Lake Data Warehouse ETL Tools Data Pipeline 52

ProjectPro

FEBRUARY 16, 2023

They must load the raw data into a data warehouse for this analysis. There are numerous ways to import data into a data warehouse using SQL. For instance, data engineers can easily transfer the data onto a cloud storage system and load the raw data into their data warehouse using the COPY INTO command.

Data Engineer 52

Data Engineer Data Engineering SQL Engineering 52

ProjectPro

DECEMBER 7, 2021

What is a Big Data Pipeline? Data pipelines have evolved to manage big data, just like many other elements of data architecture. Big data pipelines are data pipelines designed to support one or more of the three characteristics of big data (volume, variety, and velocity).

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Monte Carlo

NOVEMBER 22, 2024

Gone are the days of just dumping everything into a single database; modern data architectures typically use a combination of data lakes and warehouses. Think of your data lake as a vast reservoir where you store raw data in its original form—great for when you’re not quite sure how you’ll use it yet.

Data Engineer 52

Data Engineer Data Engineering Building Engineering 52

phData: Data Engineering

SEPTEMBER 27, 2024

But with modern cloud storage solutions and clever techniques like log compaction (where obsolete entries are removed), this is becoming less and less of an issue. The benefits of log-based approaches often far outweigh the storage costs. It’s a place where raw, unaltered customer data is stored indefinitely.

Data 52

Data Raw Data Data Lake Architecture 52

ProjectPro

MAY 31, 2021

Data Description: You will use the Covid-19 dataset(COVID-19 Cases.csv) from data.world , for this project, which contains a few of the following attributes: people_positive_cases_count county_name case_type data_source Language Used: Python 3.7 What are the main components of a big data architecture?

Big Data 52

Big Data Coding Project Hadoop 52

Data Engineering Weekly

JANUARY 24, 2025

The world of data management is undergoing a rapid transformation. The rise of cloud storage, coupled with the increasing demand for real-time analytics, has led to the emergence of the Data Lakehouse. This paradigm combines the flexibility of data lakes with the performance and reliability of data warehouses.

Architecture 77

Architecture Metadata Data Ingestion Data Lake 77