Rockset

AUGUST 2, 2023

The Windward Maritime AI platform Lastly, Windward wanted to move their entire platform from batch-based data infrastructure to streaming. In this blog, we’ll describe the new data platform for Windward and how it is API first, enables rapid product iteration and is architected for real-time, streaming data.

Database-centric 52

Database-centric PostgreSQL Transportation Insurance 52

RandomTrees

SEPTEMBER 6, 2020

Lot of cloud-based data warehouses are available in the market today, out of which let us focus on Snowflake. Snowflake is an analytical data warehouse that is provided as Software-as-a-Service (SaaS). Built on new SQL database engine, it provides a unique architecture designed for the cloud.

Cloud Storage 52

Cloud Storage Data Ingestion Data Cleanse Data Warehouse 52

Databand.ai

NOVEMBER 4, 2022

Data validation: Does the data conform to how it’s being used? The first four of these steps should provide real time alerts to data platform and engineering teams when anything goes wrong, that way they can monitor data SLAs. In other words, it allows you to catch bad data before it impacts your business.

Data 52

Data Data Pipeline Retail Metadata 52

Rockset

DECEMBER 22, 2020

We will also need to store this data in Elasticsearch. There are many blog posts detailing how to build an Express API, I’ll concentrate on what is required on top of this to make calls to Elasticsearch. To do this we will be using NodeJS to build a simple Express API. then((results) => { res.send(results.hits.hits); }).catch((err)

SQL 40

SQL Data MongoDB Aggregated Data 40

Snowflake

MARCH 30, 2023

Collecting, cleaning, and organizing data into a coherent form for business users to consume are all standard data modeling and data engineering tasks for loading a data warehouse. Feature engineering: Data is transformed to support ML model training. ML workflow, ubr.to/3EJHjvm

Engineering 82

Engineering Raw Data Data Science Scala 82

Data Engineering Weekly

MARCH 24, 2023

Any business in the modern digital era can be considered a workflow engine. A business process or workflow engine is a software system that enables businesses to execute well-defined steps to complete a user’s intention. It could be either booking a taxi or ordering your lunch; everything is a workflow engine.

Engineering 67

Engineering Data Transportation Database 67

Confluent

AUGUST 29, 2019

Stream processing engines like KSQL furthermore give you the ability to manipulate all of this fluently. All of the code and setup discussed in this blog post can be found in this GitHub repository , so you can try it yourself! Nodes are like our data entities (in this example, we use Person ). A stream of friend relationships.

Kafka 55

Kafka Process Algorithm Cloud 55

LinkedIn Engineering

JULY 19, 2023

Open source data lakehouse deployments are built on the foundations of compute engines (like Apache Spark, Trino, Apache Flink), distributed storage (HDFS, cloud blob stores), and metadata catalogs / table formats (like Apache Iceberg, Delta, Hudi, Apache Hive Metastore). Tables are governed as per agreed upon company standards.

Big Data 78

Big Data Data Management Management Metadata 78

Snowflake

NOVEMBER 2, 2023

While many customers value the simplicity of fully managed storage and a single, multi-language and multi-cluster compute engine to power a variety of workloads, some customers would prefer to manage their own storage using open formats, which is why we’ve added support for Apache Iceberg.

Data Lake 89

Data Lake Data Warehouse Cloud Unstructured Data 89

Scott Logic

AUGUST 11, 2023

This relies on Google domination of the search engine market with Google Search enjoying a 92% market share. This is because Google search prioritises web pages that uses Google Ads, and the self proclaimed second largest search engine on the internet is Youtube which exclusively uses Google Ads. What are search engines?

Engineering 52

Engineering AWS Datasets Metadata 52

ProjectPro

AUGUST 24, 2021

Nevertheless, that is not the only job in the data world. Data professionals who work with raw data like data engineers, data analysts, machine learning scientists , and machine learning engineers also play a crucial role in any data science project.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

Cloudera

SEPTEMBER 15, 2022

Today’s platform owners, business owners, data developers, analysts, and engineers create new apps on the Cloudera Data Platform and they must decide where and how to store that data. Structured data (such as name, date, ID, and so on) will be stored in regular SQL databases like Hive or Impala databases.

Systems 86

Systems Hadoop Metadata Telecommunication 86

Monte Carlo

APRIL 1, 2021

Here’s where data catalogs fall short and how data discovery platforms and tools can help ensure your data lake doesn’t turn into a data swamp. Data discovery tools and platforms can help. Data catalogs serve as an inventory of metadata and provide information about data health, accessibility, and location.

Data Lake 52

Data Lake Unstructured Data Data Warehouse Metadata 52

Cloudera

MAY 17, 2021

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. The post Key considerations when making a decision on a Cloud Data Warehouse appeared first on Cloudera Blog.

Data Warehouse 88

Data Warehouse Cloud Government Metadata 88

ProjectPro

NOVEMBER 22, 2021

According to the Businesswire report , the worldwide big data as a service market is estimated to grow at a CAGR of 36.9% This clearly indicates that the need for Big Data Engineers and Specialists would surge in the future years. PySpark imports the StructType class from pyspark.sql.types to describe the DataFrame's structure.

Hadoop 52

Hadoop Python Datasets Metadata 52

Ascend.io

JUNE 8, 2023

However, transforming data into a product so that it can deliver outsized business value requires more than just a mission statement; it requires a solid foundation of technical capabilities and a truly data-centric culture. This multitude of sources often causes a dispersed, complex, and poorly structured data landscape.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Netflix Tech

DECEMBER 14, 2018

In the previous blog posts in this series, we introduced the N etflix M edia D ata B ase ( NMDB ) and its salient “Media Document” data model. A fundamental requirement for any lasting data system is that it should scale along with the growth of the business applications it wishes to serve.

Media 94

Media Database Metadata Data Schemas 94

ProjectPro

NOVEMBER 15, 2021

Table of Contents 20 Open Source Big Data Projects To Contribute How to Contribute to Open Source Big Data Projects? 20 Open Source Big Data Projects To Contribute There are thousands of open-source projects in action today. This blog will walk through the most popular and fascinating open source big data projects.

Big Data 52

Big Data Project Metadata Programming Language 52

ProjectPro

JANUARY 31, 2023

If you're looking to break into the exciting field of big data or advance your big data career, being well-prepared for big data interview questions is essential. Get ready to expand your knowledge and take your big data career to the next level! But the concern is - how do you become a big data professional?

Big Data 52

Big Data Hadoop AWS Relational Database 52

ProjectPro

JANUARY 31, 2022

Launched in 2014, Snowflake is one of the most popular cloud data solutions on the market. This blog walks you through what does Snowflake do , the various features it offers, the Snowflake architecture, and so much more. Table of Contents Snowflake Overview and Architecture What is Snowflake Data Warehouse?

Architecture 52

Architecture IT Data Warehouse Amazon Web Services 52

Cloudera

SEPTEMBER 6, 2018

The solution combines Cloudera Enterprise , the scalable distributed platform for big data, machine learning, and analytics, with riskCanvas , the financial crime software suite from Booz Allen Hamilton. It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data.

Banking 40

Banking Machine Learning Big Data Scala 40

Cloudera

JANUARY 22, 2019

Today’s data landscape is characterized by exponentially increasing volumes of data, comprising a variety of structured, unstructured, and semi-structured data types originating from an expanding number of disparate data sources located on-premises, in the cloud, and at the edge.

Big Data 44

Big Data NoSQL Data Lake Hadoop 44

ProjectPro

DECEMBER 10, 2021

This blog covers the top 50 most frequently asked Azure interview questions and answers. Moreover, the average pay for an Azure engineer in the United States is $107,849 per year, whereas the average annual compensation for Azure engineers in India is ₹6,10,298 Are these reasons compelling enough to persuade you to seek a career in Azure??

BI 52

BI Cloud Computing SQL Database 52

ProjectPro

OCTOBER 20, 2021

If you are unsure, be vocal about your thought process and the way you are thinking – take inspiration from the examples below and explain the answer to the interviewer through your learnings and experiences from data science and machine learning projects. If Data Science were a linear activity, it would be called Data Engineering.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

ProjectPro

APRIL 4, 2015

” With the increasing demand for Hadoop for Big Data related issues, the prediction by Gartner is ringing true. Of the 3000 Hadoop students that we have trained so far, the most popular blog article request was one on hadoop interview questions. Add the blog links to your resume. Process Unstructured Data.

Hadoop 40

Hadoop Big Data Recruitment Java 40

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Data and Metadata: Data inputs and data outputs produced based on the application logic.

Architecture 122

Architecture Metadata Government Kafka 122

Cloudera

APRIL 1, 2024

Cloudera, a leader in big data analytics, provides a unified Data Platform for data management, AI, and analytics. Our customers run some of the world’s most innovative, largest, and most demanding data science, data engineering, analytics, and AI use cases, including PB-size generative AI workloads.

Cloud 101

Cloud Unstructured Data Metadata Datasets 101

phData: Data Engineering

JULY 18, 2023

Common Limitations from Legacy Data Systems Long Turn-Around Time to Set up Infrastructure: Having large on-premise infrastructure results in a setup that is deeply interconnected and often requires an army of engineers to maintain. Enter Snowflake The Snowflake Data Cloud is one of the most popular and powerful CDW providers.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52