Seattle Data Guy

APRIL 12, 2024

Then, suddenly, a new engineer or project manager steps in, reorganizes and prioritizes tasks, and just like… Read more The post Common Pitfalls of Data Analytics Projects appeared first on Seattle Data Guy.

Data Analytics 100

Data Analytics Project Data Engineering 100

Towards Data Science

MARCH 23, 2023

The difference between tables and views and how to use them Continue reading on Towards Data Science »

Data Warehouse 98

Data Warehouse Data Science Data Cloud Computing 98

Sync Computing

NOVEMBER 7, 2024

Data volume and velocity, governance, structure, and regulatory requirements have all evolved and continue to. Despite these limitations, data warehouses, introduced in the late 1980s based on ideas developed even earlier, remain in widespread use today for certain business intelligence and data analysis applications.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Unstructured Data 52

Cloudera

MAY 30, 2024

They deployed a proof-of-concept version of CDP Private Cloud and CDP Public Cloud, facilitating the client’s exploration of Cloudera’s hybrid cloud functionalities and a new data model. The post Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI appeared first on Cloudera Blog.

Data Analytics 81

Data Analytics Banking Insurance Finance 81

Cloudera

DECEMBER 20, 2022

Try Cloudera DataFlow (CDF), Cloudera Data Warehouse (CDW), Cloudera Data Engineering (CDE), and Cloudera Machine Learning (CML) by signing up for a 60 day trial , or test drive CDP. If you are interested in chatting about how to manage the full data lifecycle with CDP, let your account team know or contact us directly.

Data Analytics 81

Data Analytics Retail Machine Learning Recruitment 81

Seattle Data Guy

FEBRUARY 10, 2024

Photo by Tiger Lily Data warehouses and data lakes play a crucial role for many businesses. It gives businesses access to the data from all of their various systems. As well as often integrating data so that end-users can answer business critical questions.

Data Lake 162

Data Lake Data Warehouse Data Accessible 162

U-Next

SEPTEMBER 7, 2022

The terms “ Data Warehouse ” and “ Data Lake ” may have confused you, and you have some questions. There are times when the data is structured , but it is often messy since it is ingested directly from the data source. What is Data Warehouse? . Data Warehouse in DBMS: .

Data Lake 52

Data Lake Data Warehouse Unstructured Data Amazon Web Services 52

AltexSoft

MAY 14, 2021

And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.

Big Data 78

Big Data Data Analytics IT NoSQL 78

Precisely

JUNE 24, 2024

A data leader from the manufacturing industry mentioned their need for a data mesh, but was still wrestling with a number of manual data management processes and needed to first focus on organizing their data into a local data warehouse or data lake.

Food 94

Food Data Analytics Pharmaceutical Consulting 94

Snowflake

NOVEMBER 11, 2024

Conversations centered on the theme of “Human x Machine,” and while AI was a focus, there were plenty of other insights around real-time data analytics, security considerations and customer strategies that are guiding the future of money.

Banking 98

Banking Finance Retail Food 98

Striim

NOVEMBER 17, 2023

This strategic alliance opens up a world of possibilities for businesses looking to leverage the power and speed of Striim’s real-time data streaming and integration capabilities to seamlessly move data into the Yellowbrick Data Warehouse and drive lightning-fast analytics.

Data Analytics 59

Data Analytics Data Warehouse Banking Data 59

Propel Data

JANUARY 10, 2023

Create and query an API on top of your Snowflake data warehouse using Propel’s blazing-fast Serverless Analytics API Platform

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Data Analytics Building Data Warehouse Data 72

Data Engineering Podcast

DECEMBER 25, 2022

Summary Encryption and security are critical elements in data analytics and machine learning applications. We have well developed protocols and practices around data that is at rest and in motion, but security around data in use is still severely lacking. or any other destination you choose. Pricing for SQLake is simple.

Machine Learning 130

Machine Learning Systems Data Lake Data Warehouse 130

Monte Carlo

AUGUST 25, 2023

Different vendors offering data warehouses, data lakes, and now data lakehouses all offer their own distinct advantages and disadvantages for data teams to consider. So let’s get to the bottom of the big question: what kind of data storage layer will provide the strongest foundation for your data platform?

Data Lake 52

Data Lake Data Warehouse Unstructured Data Raw Data 52

Edureka

JUNE 1, 2023

This is where AWS Data Analytics comes into action, providing businesses with a robust, cloud-based data platform to manage, integrate, and analyze their data. In this blog, we’ll explore the world of Cloud Data Analytics and a real-life application of AWS Data Analytics.

AWS 52

AWS Data Analytics Cloud Amazon Web Services 52

Cloudera

OCTOBER 29, 2020

Included with CDP Data Warehouse and Machine Learning, DV enables data engineers, data scientists, business analysts, and business users to create and share important insights instantly across any team using an intuitive drag-and-drop interface. Accelerate Collaboration Across The Lifecycle.

Machine Learning 111

Machine Learning Data Warehouse Unstructured Data Government 111

Rockset

JULY 29, 2022

Enterprise data warehouses (EDWs) became necessary in the 1980s when organizations shifted from using data for operational decisions to using data to fuel critical business decisions. Data warehouses are popular because they help break down data silos and ensure data consistency.

Data Analytics 52

Data Analytics Data Warehouse Datasets Cloud 52

Towards Data Science

JANUARY 16, 2024

Evolution of the data landscape 1980s — Inception Relational databases came into existence. Databases were overwhelmed with transactional and analytical workloads. Result: Data warehouse was born. Image by the author Early 1990s — Scale Analytical workloads started to get complex. Data volumes started to grow.

Data Warehouse 95

Data Warehouse Data Architecture Relational Database NoSQL 95

Knowledge Hut

OCTOBER 6, 2023

Recently, the AWS Data Analytics Certification has captured my attention, and I have been researching the many AWS data analytics certification benefits. I'll delve into the specifics in this post to help you determine if AWS Data Analytics certification is worth it. What is AWS Data Analytics?

AWS 52

AWS Certification Data Analytics IT 52

Rockset

MARCH 10, 2022

This means that updates are inserted into a different location or you’re forced to rewrite old and new data to store it properly. Immutable data stores have been useful in certain analytics scenarios. Analytical queries could be accelerated by caching heavily-accessed read-only data in RAM or SSDs.

Data Analytics 52

Data Analytics Data Warehouse MySQL Medical 52

Knowledge Hut

FEBRUARY 7, 2023

The study of examining unprocessed data to draw inferences about such information is known as data analytics. Many data analytics methods and procedures have been mechanized into mechanical procedures and algorithms that operate on raw data for human consumption. This is the most frequently asked question.

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Data Analytics Business Analyst Raw Data Data Analysis 52

Knowledge Hut

MARCH 7, 2024

Introduction to Big Data Analytics Tools Big data analytics tools refer to a set of techniques and technologies used to collect, process, and analyze large data sets to uncover patterns, trends, and insights. Importance of Big Data Analytics Tools Using Big Data Analytics has a lot of benefits.

Big Data 52

Big Data Data Analytics Data Mining MongoDB 52

Monte Carlo

JANUARY 12, 2024

We’ve previously discussed the need for quality over quantity when it comes to big data and, in this article, we’ll be looking at how recent technological innovations and new processes across 4 of the 5 ‘V’s of big data (volume, velocity, veracity, variety) are changing the future of big data analytics.

Big Data 59

Big Data Data Analytics Data Science Data Lake 59

Christophe Blefari

JANUARY 20, 2024

Data engineering inherits from years of data practices in US big companies. Hadoop initially led the way with Big Data and distributed computing on-premise to finally land on Modern Data Stack — in the cloud — with a data warehouse at the center. My advice on this point is to learn from others.

Data Engineering 130

Data Engineering Data Engineer Engineering Hadoop 130

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 94

Data Lake Data Warehouse BI SQL 94

Hevo

JUNE 7, 2024

Snowflake is a data warehouse that provides various services for advanced data analytics. You can use Snowflake Cortex in complex data applications to perform high-level data […] Snowflake Cortex is one such service.

Data Analytics 40

Data Analytics Data Warehouse Machine Learning Data 40

Striim

FEBRUARY 10, 2023

trillion through investment in real-time data analytics. From telecommunication to retail, businesses are harnessing the power of data analytics to optimize operations and drive growth. Striim is a data integration platform that connects data from different applications and services to deliver real-time data analytics.

Data Analytics 52

Data Analytics Telecommunication Insurance Google Cloud 52

Hevo

NOVEMBER 22, 2024

In the modern field of data analytics, proper data management is the only way to maximize performance while minimizing costs. Google BigQuery, one of the leading cloud-based data warehouses, shows great skills in managing huge datasets by partitioning and clustering.

Data Warehouse 40

Data Warehouse Datasets Data Analytics Data Engineering 40

Seattle Data Guy

NOVEMBER 28, 2023

Data warehousing would be easy if all data were structured and formatted in the data source. Maybe we wouldn’t even need to build a data warehouse. But as anyone who has worked with data from more than one source knows, that’s rarely the case.

IT 130

IT Data Warehouse Building Data 130

DataKitchen

AUGUST 3, 2021

The past decades of enterprise data platform architectures can be summarized in 69 words. First-generation – expensive, proprietary enterprise data warehouse and business intelligence platforms maintained by a specialized team drowning in technical debt. The organizational concepts behind data mesh are summarized as follows.

Pharmaceutical 98

Pharmaceutical Data Lake Data Architecture Architecture 98

Data Engineering Podcast

JUNE 16, 2019

In this episode Michael Armbrust, the lead architect of Delta Lake, explains how the project is designed, how you can use it for building a maintainable data lake, and some useful patterns for progressively refining the data in your lake. What are the benefits of a data lake over a data warehouse?

Data Lake 100

Data Lake Lambda Architecture Data Warehouse Hadoop 100

Knowledge Hut

APRIL 25, 2024

If you want to stay ahead of the curve, you need to be aware of the top big data technologies that will be popular in 2024. This article will discuss big data analytics technologies, technologies used in big data, and new big data technologies. What Are Big Data T echnologies?

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Big Data Technology Hadoop NoSQL 98

Databand.ai

DECEMBER 20, 2022

The Top Data Analytics and Science Influencers and Content Creators on LinkedIn Ryan Yackel 2022-12-20 11:06:32 If you’re looking to brush up on all things data analytics and science, then LinkedIn certainly has no shortage of content. On LinkedIn, he posts regularly about data analytics and data science.

Data Analytics 52

Data Analytics Google Cloud Data Science Data Mining 52

Snowflake

APRIL 23, 2024

Ensono, a managed service provider and technology adviser, joined the initial preview phase of the Snowflake Connector for ServiceNow and began using it as part of its customer portal and data warehouse modernization project (watch their Show Me Your Architecture webinar here ).

Data Warehouse 111

Data Warehouse Data Integration Consulting SQL 111

Data Engineering Podcast

NOVEMBER 16, 2020

Datafold also helps automate regression testing of ETL code with its Data Diff feature that instantly shows how a change in ETL or BI code affects the produced data, both on a statistical level and down to individual rows and values. Immuta is an automated data governance solution that enables safe and easy data analytics in the cloud.

Data Management 100

Data Management Management BI Business Intelligence 100

Cloudera

MAY 30, 2024

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses.

Data Lake 74

Data Lake Data Warehouse Programming Language Data Ingestion 74

Data Engineering Weekly

MAY 26, 2024

[link] Sponsored: From 90-sec queries to sub-second with DoubleCloud Learn how LSports, a top provider of real-time sports data, improved its data analytics using DoubleCloud’s Managed ClickHouse. seconds, enhancing real-time sports data analytics efficiency! and why one prefer dataframe over sql.

Data Engineering 77

Data Engineering Data Engineer Engineering Google Cloud 77