Ascend.io

FEBRUARY 15, 2023

One that was cloud-native (a term that didn’t even exist yet), that used Amazon Web Services (we were one of the first companies ever to use it), and leveraged a Hadoop cluster (something close to no startups were using) as the backbone of our data & analytics offering. So we built an engine that could do just that.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Ascend.io

FEBRUARY 15, 2023

One that was cloud-native (a term that didn’t even exist yet), that used Amazon Web Services (we were one of the first companies ever to use it), and leveraged a Hadoop cluster (something close to no startups were using) as the backbone of our data & analytics offering. So we built an engine that could do just that.

Cloud 52

Cloud Amazon Web Services Hadoop Telecommunication 52

Knowledge Hut

MARCH 28, 2024

Role Level: Intermediate Responsibilities Design and develop big data solutions using Azure services like Azure HDInsight, Azure Databricks, and Azure Data Lake Storage. Implement data ingestion, processing, and analysis pipelines for large-scale data sets.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

ProjectPro

FEBRUARY 25, 2022

Data Ingestion Data Processing Data Splitting Model Training Model Evaluation Model Deployment Monitoring Model Performance Machine Learning Pipeline Tools Machine Learning Pipeline Deployment on Different Platforms FAQs What tools exist for managing data science and machine learning pipelines?

Machine Learning 52

Machine Learning Building Amazon Web Services AWS 52

Monte Carlo

APRIL 24, 2023

We continuously hear data professionals describe the advantage of the Snowflake platform as “it just works.” Snowpipe and other features makes Snowflake’s inclusion in this top data lake vendors list a no-brainer.

Data Lake 52

Data Lake Google Cloud Data Warehouse AWS 52

ProjectPro

JANUARY 19, 2022

Cloud Services Providers Platforms As companies are gradually becoming more inclined towards investing in cloud computing for storing their data instead of bulky hardware systems, engineers who can work on cloud computing tools are in demand. Best suited for those looking for Platform-as-a-service (PaaS) provider.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 26, 2023

Finnhub API with Kafka for Real-Time Financial Market Data Pipeline Project Overview: The goal of this project is to construct a streaming data pipeline by making use of the real-time financial market data API provided by Finnhub. Master data processing methods. Acquire the skill of scheduling your workflows.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Knowledge Hut

APRIL 25, 2023

Key features: Easy data integration provides pre-built connectors to over 150+ data sources near real-time data synchronization AWS Data Engineering Tools In the era of big data, cloud-based data engineer tools have become increasingly popular due to their ease of use, scalability, and cost-effectiveness.

Data Engineering 52

Data Engineering Data Engineer Engineering Google Cloud 52

Edureka

FEBRUARY 9, 2023

As the demand for data engineers grows, having a well-written resume that stands out from the crowd is critical. Azure data engineers are essential in the design, implementation, and upkeep of cloud-based data solutions. It is also crucial to have experience with data ingestion and transformation.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

DareData

JANUARY 30, 2023

Our goal is to help data scientists better manage their models deployments or work more effectively with their data engineering counterparts, ensuring their models are deployed and maintained in a robust and reliable way. Airflow is written in Python and has a web-based user interface for managing and monitoring pipelines.

Data Engineering 52

Data Engineering Data Engineer NoSQL Engineering 52

Cloudera

MARCH 31, 2021

The addition of support for Google Cloud enables Cloudera to deliver on its promise to offer its enterprise data platform at a global scale. CDP Public Cloud is already available on Amazon Web Services and Microsoft Azure. Data Preparation (Apache Spark and Apache Hive) .

Google Cloud 92

Google Cloud Cloud Amazon Web Services Cloud Storage 92

Knowledge Hut

JULY 6, 2023

Azure Monitoring Tools: Overview Microsoft Azure is the second-most popular cloud service provider, next to Amazon Web Service. However, there are costs associated with data ingestion. Also, you can easily download and upload data, regardless of size or type.

Amazon Web Services 52

Amazon Web Services Data Lake Java SQL 52

Monte Carlo

JUNE 14, 2023

Why is data pipeline architecture important? Amazon Redshift – Amazon Redshift, one of the most widely used options, sits on top of Amazon Web Services (AWS) and easily integrates with other data tools in the space. Singer – An open source tool for moving data from a source to a destination.

Data Pipeline 52

Data Pipeline Architecture Data Lake Data Warehouse 52

ProjectPro

FEBRUARY 8, 2023

Using ETL in AWS Glue AWS Glue offers a fully managed serverless environment on the Amazon Web Services (AWS) Cloud where you can extract, transform, and load (ETL) your data. Integrating AWS Glue with Amazon Redshift A new Amazon Redshift Spark connector and JDBC driver are available with AWS Glue ETL jobs version 4.0.

AWS 98

AWS Scala Metadata Data Lake 98

phData: Data Engineering

AUGUST 4, 2023

Snowflake Stages Use Case Examples Here are a few examples of how Snowflake stages can be used: Data Ingestion from Amazon S3: Snowflake stages can be used to ingest data from Amazon S3 into Snowflake.

Cloud Storage 52

Cloud Storage Google Cloud Amazon Web Services Data Storage 52

ProjectPro

AUGUST 24, 2021

Data Engineering Project for Beginners If you are a newbie in data engineering and are interested in exploring real-world data engineering projects, check out the list of data engineering project examples below. This big data project discusses IoT architecture with a sample use case.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

phData: Data Engineering

JANUARY 3, 2022

Analyzing the data, ensuring it adheres to data governance rules and regulations. Understanding the pros and cons of data storage and query options. For example, an enterprise might be using Amazon Web Services (AWS) as a cloud provider, and you want to store and query data from various systems.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

AltexSoft

MAY 14, 2021

Big Data analytics encompasses the processes of collecting, processing, filtering/cleansing, and analyzing extensive datasets so that organizations can use them to develop, grow, and produce better products. Big Data analytics processes and tools. Data ingestion. Let’s take a closer look at these procedures.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Rockset

OCTOBER 26, 2020

Imply Cloud is a managed Druid service on Amazon Web Services. However, there were some obstacles: • Difficult to get started : Rumble had a challenging time getting started with Druid because there was no self-service flow. • The need to build a data team : To run, maintain, and scale Druid required expertise.

PostgreSQL 40

PostgreSQL Amazon Web Services Retail Data Ingestion 40

U-Next

OCTOBER 27, 2022

Accessing servers, storage, databases, and a wide range of application services via the internet is made simple by cloud computing. While you provide and use what you need via a web application, a cloud services platform like Amazon Web Services owns and maintains the network-connected hardware necessary for these application services. .

AWS 40

AWS Amazon Web Services Cloud Computing Cloud 40

ProjectPro

OCTOBER 20, 2021

This would include the automation of a standard machine learning workflow which would include the steps of Gathering the data Preparing the Data Training Evaluation Testing Deployment and Prediction This includes the automation of tasks such as Hyperparameter Optimization, Model Selection, and Feature Selection.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

MAY 31, 2021

The project develops a data processing chain in a big data environment using Amazon Web Services (AWS) cloud tools, including steps like dimensionality reduction and data preprocessing and implements a fruit image classification engine.

Big Data 52

Big Data Coding Project Hadoop 52

Knowledge Hut

DECEMBER 13, 2023

Tech Mahindra Tech Mahindra is a service-based company with a data-driven focus. The complex data activities, such as data ingestion, unification, structuring, cleaning, validating, and transforming, are made simpler by its self-service. It also makes it easier to load the data into destination databases.

Big Data 52

Big Data Consulting Hadoop Amazon Web Services 52

Monte Carlo

AUGUST 19, 2023

We’ll cover: What is a data platform? Amazon Redshift – Amazon Redshift, one of the most widely used options, sits on top of Amazon Web Services (AWS) and easily integrates with other data tools in the space. They also recently acquired Apache Flink , another streaming solution.

Building 52

Building BI Data Lake Data Governance 52

phData: Data Engineering

JULY 18, 2023

Enterprises can effortlessly prepare data and construct ML models without the burden of complex integrations while maintaining the highest level of security. Generally, organizations need to integrate a wide variety of source systems when building their analytics platform, each with its own specific data extraction requirements.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52