Towards Data Science

APRIL 26, 2023

As data practitioners we want (and love) to build applications on top of our data as seamlessly as possible. Whether you work in BI, Data Science or ML all that matters is the final application and how fast you can see it working end-to-end. A lightinign fast analytics app built with our system. Image from the authors.

Engineering 70

Engineering Data Lake AWS BI 70

Cloudera

NOVEMBER 7, 2023

The vast tapestry of data types spanning structured, semi-structured, and unstructured data means data professionals need to be proficient with various data formats such as ORC, Parquet, Avro, CSV, and Apache Iceberg tables, to cover the ever growing spectrum of datasets – be they images, videos, sensor data, or other type of media content.

Systems 105

Systems Hadoop Unstructured Data Media 105

AltexSoft

JULY 18, 2023

It has in-memory computing capabilities to deliver speed, a generalized execution model to support various applications, and Java, Scala, Python, and R APIs. Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications.

Big Data 52

Big Data Data Process Process Hadoop 52

Rockset

FEBRUARY 9, 2021

Because it integrates easily with S3, is serverless, and uses a familiar language, Athena has become the default service for most business intelligence (BI) decision makers to query the large amounts of (usually streaming) data coming into their object stores.

Data Lake 40

Data Lake Business Intelligence SQL Datasets 40

Cloudera

MAY 16, 2018

Large volumes of disparate datasets can be managed in Cloudera, with Arcadia Data as the powerful analytics platform that helps multiple teams work together to monitor trades. Arcadia Data partners with Cloudera to realize their shared vision of enabling subject matter experts to gain business insight from modern data platforms.

Data Lake 42

Data Lake Electronics Media Unstructured Data 42

U-Next

AUGUST 26, 2022

Due to this, our Data Consultants advise highly data-driven businesses not to limit themselves to descriptive analytics alone but instead to integrate it with other forms of Data Analytics. Analytical Diagnostics. A solid Data Analytics system will have data visualisation features, which facilitate and speed up data exploration.

Data Analytics 40

Data Analytics Insurance Transportation Healthcare 40

ProjectPro

MAY 31, 2021

A big data project is a data analysis project that uses machine learning algorithms and different data analytics techniques on a large dataset for several purposes, including predictive modeling and other advanced analytics applications. Kicking off a big data analytics project is always the most challenging part.

Big Data 52

Big Data Coding Project Hadoop 52

Rockset

DECEMBER 9, 2021

Companies that embraced the modern data stack reaped the rewards, namely the ability to make even smarter decisions with even larger datasets. Disclaimer: Rockset is a real-time analytics database and one of the pieces in the modern real-time data stack So What is Real-Time Data (And Why Can’t the Modern Data Stack Handle It)?

Transportation 52

Transportation BI SQL Data Warehouse 52

Cloudera

JUNE 16, 2022

Building real-time data analytics pipelines is a complex problem, and we saw customers struggle using processing frameworks such as Apache Storm, Spark Streaming, and Kafka Streams. . These data products can be web applications, dashboards, alerting systems, or even data science notebooks. .

Kafka 88

Kafka Manufacturing Data Lake SQL 88

U-Next

AUGUST 23, 2022

A rapidly expanding data visualization tool called Tableau Software is creating a stir within Business Intelligence (BI) sector. Ready data connections are accessible when Tableau is opened, allowing you to access any dataset. What distinguishes Tableau and Power BI from one another? Tableau Basics.

BI 52

BI Amazon Web Services Business Intelligence Database 52

U-Next

AUGUST 11, 2022

BI tools are different types of application software that collect and process huge amounts of unstructured data from internal and external sources. Any business user may quickly resolve difficulties using current and skilled Business Intelligence (BI) technologies, even without intensive IT participation. Introduction.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

phData: Data Engineering

JULY 18, 2023

CDWs are designed for running large and complex queries across vast amounts of data, making them ideal for centralizing an organization’s analytical data for the purpose of business intelligence and data analytics applications.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52