Cloudera

SEPTEMBER 9, 2022

The promise of a modern data lakehouse architecture. Imagine having self-service access to all business data, anywhere it may be, and being able to explore it all at once. Imagine quickly answering burning business questions nearly instantly, without waiting for data to be found, shared, and ingested.

Architecture 97

Architecture Metadata Unstructured Data Machine Learning 97

Snowflake

JUNE 5, 2023

When it comes to data, state of the art is an ever-moving target. At Snowflake, we’re able to see how cutting-edge companies are actually working with data on our platform. Companies are connecting data everywhere they can. Rising data complexity undermines the drive toward more AI/ML use cases.

Government 52

Government Data Cloud Accessible 52

DareData

AUGUST 12, 2021

Introduction "Data is the 21st century oil". If you work anywhere in the vicinity of data, odds are you've heard some variation of this statement at least once. The goal of this blog post is to hopefully shed some light on what a healthy data ecosystem looks like, so that you might explore your company's data to its full potential.

Transportation 52

Transportation Data Lake Data Warehouse Data 52

Cloudera

NOVEMBER 25, 2020

The challenges Matthew and his team are facing are mainly about access to a multitude of data sets, of various types and sources, with ease and ad-hoc, and their ability to deliver data-driven and confident outcomes. . Most of their research data is unstructured and has a lot of variety. Challenges Ahead.

Data Warehouse 57

Data Warehouse Unstructured Data Medical Pharmaceutical 57

Ascend.io

JUNE 8, 2023

Because of its transformative potential, data has graduated from being merely a by-product of business operations to a critical asset in its own right. Is it possible to treat data not just as a necessary operational output, but as a product that holds immense strategic value? Without them, data products can’t exist.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

Confluent

JULY 10, 2019

The repository’s README contains a bit more detail, but in a nutshell, we check out the repo and then use Gradle to initiate docker-compose : git clone [link] cd kafka-examples git checkout confluent-blog./gradlew Groovy might be a preferred choice for writing UDFs with KSQL though, as it provides a bit of a shortcut related to data types.

Kafka 86

Kafka Java Bytes SQL 86

AltexSoft

OCTOBER 21, 2022

Similar to Google in web browsing and Photoshop in image processing, it became a gold standard in data streaming, preferred by 70 percent of Fortune 500 companies. Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. What is Kafka?

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

phData: Data Engineering

JANUARY 3, 2022

DataOps: What Is It, Core Principles, and Tools For Implementation Nick Goble January 3, 2022 When building a successful company, it’s critical to have a strategy around how you build and scale your business from a technology and data perspective. Table of Contents How Impactful is Your Data? What’s Data Strategy? No problem!

IT 52

IT AWS Software Engineer Software Engineering 52

ProjectPro

OCTOBER 20, 2021

With so many pseudo-data scientists cropping up due to numerous data science bootcamps and courses that offer theoretical learning, the interview questions for AI and machine learning jobs are getting streamlined to filter those who understand how real-world implementation works. The following diagram explains Auto ML.

Machine Learning 52

Machine Learning Algorithm Government Data Science 52

Snowflake

JUNE 27, 2023

The world is undergoing a remarkable transformation fueled by data. Organizations have accumulated silos across their data infrastructure to support various workloads, languages, tools, and formats because of technology limitations. We’re going to summarize these new capabilities in this blog post.

Data Governance 56

Data Governance Unstructured Data Government SQL 56

DoorDash Engineering

APRIL 12, 2023

Metrics are vital for measuring success in any data-driven company, but ensuring that these metrics are consistently and accurately measured across the organization can be challenging. Dependency on SQL made it challenging for non-technical users to analyze experiments without assistance from data scientists.

SQL 82

SQL Metadata Raw Data Government 82

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Table of Contents Core Data Observability Use Cases 1. Reduce The Amount Of Data Incidents 2. Validate Data 17.

Data 52

Data Data Pipeline Data Engineering Data Engineer 52

Monte Carlo

MAY 17, 2023

Data observability, an organization’s ability to fully understand the health and quality of the data in their systems, has become one of the hottest technologies in modern data engineering. Table of Contents Core Data Observability Use Cases 1. Reduce the amount of data incidents 2. Validate data 17.

Data Pipeline 52

Data Pipeline Data Data Engineering Data Engineer 52