dbt Developer Hub

NOVEMBER 28, 2021

The Full-Stack Analyst and Analytical Applications ​ An analyst who can gather the necessary data, transform it into the analytics-ready format, and understand & analyze it is an incredible asset to your team. We should shift our thinking from making traditional dashboards to building user-centric analytical applications.

Designing 52

Designing Analytics Application Building Data Analytics 52

Rockset

MARCH 3, 2022

This data has material financial value when it’s both fresh and easy to access, however, customers commonly face scalability challenges running both transactional and analytical applications on the same database. Transactional databases must be write-optimized and analytical applications require low-latency reads.

Amazon Web Services 52

Amazon Web Services Data Warehouse SQL Analytics Application 52

Data Engineering Podcast

MARCH 20, 2022

What are some heuristics that you have developed for understanding how to manage data lifecycles in a user-facing analytics application? What are some heuristics that you have developed for understanding how to manage data lifecycles in a user-facing analytics application? data tiering, tail latencies, etc.)

Datasets 100

Datasets Kafka Analytics Application Data Engineer 100

Christophe Blefari

MARCH 24, 2023

Hex is a notebook-based analytics application. Cells are at the center of the analytics, they produce outputs than can be used later in other cells on in visualisation. Often needed to better contextualise alerts but also to avoid tools multiplicity when working with big corporations. Hex raises $28m in a Venture Round [1].

Lambda Architecture 130

Lambda Architecture Data Pipeline Data SQL 130

Rockset

FEBRUARY 18, 2021

Using RockBench, we ascertained Rockset’s suitability for many real-time analytics applications due to its ability to keep data latency to under 1 second, while ingesting 1 billion events per day, on a standard 4XLarge Virtual Instance. Rockset was 9.4x

Analytics Application 52

Analytics Application SQL Database Structured Data 52

Cloudera

NOVEMBER 7, 2023

Most traditional analytics applications like Hive, Spark, Impala, YARN etc. Protocols provided by Ozone: ofs ofs is a Hadoop Compatible File System (HCFS) protocol. ozone fs is a command line interface similar to “ hdfs dfs ” CLI that works with HCFS protocols like ofs.

Systems 104

Systems Hadoop Unstructured Data Media 104

Christophe Blefari

JANUARY 7, 2023

Introducing ADBC: Database Access for Apache Arrow — When I see "minimal-overhead alternative to JDBC/ODBC for analytical applications" I'm instantly in. I think this is even relevant to data world. You can also listen a related podcast about Arrow vision.

Data Science 130

Data Science Data BI Kafka 130

Data Engineering Podcast

AUGUST 27, 2021

In this episode Dan DeMers, Cinchy’s CEO, explains how their concept of a "Dataware" platform eliminates the need for costly and error prone integration processes and the benefits that it can provide for transactional and analytical application design.

Data Integration 100

Data Integration Architecture Data Warehouse Data Lake 100

Snowflake

JULY 13, 2023

Brown’s team replaced its Cloudera cluster running the analytics application with Snowflake in January 2022. The team spent a great deal of time making sure the cluster was running and data was loading correctly, leaving little time for rolling out new features.

Medical 92

Medical Hospitality Transportation Scala 92

Cloudera

SEPTEMBER 1, 2020

It is designed to simplify deployment, configuration, and serviceability of Solr-based analytics applications. DDE also makes it much easier for application developers or data workers to self-service and get started with building insight applications or exploration services based on text or other unstructured data (i.e.

Cloud Storage 71

Cloud Storage Unstructured Data AWS Analytics Application 71

Rockset

MARCH 10, 2022

If you want to see all of the key requirements of real-time analytics databases, watch my recent talk at the Hive on Designing the Next Generation of Data Systems for Real-Time Analytics , available below. Get faster analytics on fresher data, at lower costs, by exploiting indexing over brute-force scanning.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

Data Science Blog: Data Engineering

JULY 4, 2022

For fast analytic queries against another size of data, it uses in-memory caching and optimised query execution. It is a parallel processing framework for grouped computers to operate large-scale data analytics applications. This could handle packet and real-time data processing and predictive analysis workloads.

Hadoop 52

Hadoop Big Data Datasets Scala 52

Snowflake

AUGUST 9, 2023

The Seek Insight Cloud is a cloud-native platform that helps organizations discover insights at scale through turnkey analytics applications. In a recent webinar, Snowflake and Seek, a Snowflake Elite Partner, discussed how their customers are using data and insights to tackle these economic challenges.

Retail 52

Retail Electronics Raw Data Manufacturing 52

Rockset

JUNE 21, 2022

We’re excited to announce that Rockset’s new connector with Snowflake is now available and can increase cost efficiencies for customers building real-time analytics applications.

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

Cloudera

AUGUST 13, 2021

The ability to manage how the data flows and transforms during the first mile of the data pipeline and control the data distribution can accelerate the performance of all analytic applications. What is the impact on the business?

Data Pipeline 111

Data Pipeline Data Lake ETL Tools Unstructured Data 111

Cloudera

DECEMBER 1, 2022

For analytic applications to properly leverage a hybrid, multi-cloud ecosystem to support modern data architectures, data observability has become even more important. I spoke to Mark Ramsey of Ramsey International (RI) to dive deeper into that last subject.

Data Lake 84

Data Lake Data Pipeline Analytics Application Data Governance 84

Data Science Blog: Data Engineering

NOVEMBER 15, 2023

An object-centric data model is a big deal because it offers the opportunity for a holistic approach and as a database a single source of truth for Process Mining but also for other types of analytical applications. This centralized approach streamlines data governance and management, enhancing efficiency.

Architecture 52

Architecture Database-centric Process BI 52

Snowflake

FEBRUARY 7, 2023

Next-gen product analytics is now warehouse-native, an architectural approach that allows for the separation of code and data. In this model, providers of next-gen product analytics maintain code for the analytical application as a connected app, while customers manage the data in their own cloud data platform.

BI 83

BI Building ETL Tools Data Warehouse 83

Rockset

MARCH 15, 2021

The Demands of Real-Time Analytics Real-time analytics applications have specific demands (i.e., and your solution will only be able to provide valuable real-time analytics if you are able to meet them. Indexing Efficiency Indexing data is another crucial requirement for real-time analytics applications.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

Rockset

MAY 17, 2022

Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Complex Queries Are Needed for Real-Time Analytics Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict (..)

SQL 52

SQL NoSQL Hadoop MongoDB 52

Rockset

JANUARY 30, 2024

Users may be building user-facing search and analytics applications on data that is updated after minutes or hours. While many users choose Rockset for its real-time capabilities, we do see use cases with less sensitive data latency requirements.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Grouparoo

NOVEMBER 16, 2021

The critical benefit of transformation is that it allows analytical applications to efficiently access and process all data quickly and efficiently by eliminating issues before processing. To goal is to create a consistent and coherent dataset compatible with analytical applications and services.

Data Mining 52

Data Mining Raw Data ETL Tools Data 52

Snowflake

MAY 4, 2023

The way we’d normally design analytical applications is to build something outside of our data environment, manage the infrastructure and compute, connect to Snowflake for the data, take the data back to the compute platform, and give an interface to our users.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 52

Rockset

JULY 6, 2022

Posts published so far in the series: Why Mutability Is Essential for Real-Time Data Analytics Handling Out-of-Order Data in Real-Time Analytics Applications Handling Bursty Traffic in Real-Time Analytics Applications SQL and Complex Queries Are Needed for Real-Time Analytics Why Real-Time Analytics Requires Both the Flexibility of NoSQL and Strict (..)

NoSQL 52

NoSQL SQL Systems PostgreSQL 52

Rockset

MARCH 24, 2022

How important is query flexibility to you for iterating and prototyping when building real-time analytical applications , such as real-time reporting and real-time personalization? What databases are you using for real-time analytics? We invite you to join the discussion in the Rockset Community.

Non-relational Database 52

Non-relational Database Relational Database Database Data Pipeline 52

Knowledge Hut

DECEMBER 26, 2023

Given its status as one of the complete all-in-one analytics and BI systems available currently, the platform requires some getting accustomed to. Some key features include business intelligence, enterprise planning, and analytics application. You can discover your insights by posing and addressing your questions.

Business Intelligence 52

Business Intelligence BI Data Mining Data Analysis 52

Workfall

JUNE 27, 2023

It enables real-time data processing, transformation, and analysis by integrating with stream processing frameworks like Apache Spark, Apache Flink, or Kafka Streams, making it a powerful tool for building data pipelines and real-time analytics applications.

Kafka 75

Kafka Architecture AWS Transportation 75

Cloudera

SEPTEMBER 15, 2022

It removes the need to port data from an object store to a file system so analytics applications can read it. This allows a single Ozone cluster to have the capabilities of both Hadoop Core File System (HCFS) and Object Store (like Amazon S3) features by storing files, directories, objects, and buckets efficiently. Bucket types.

Systems 87

Systems Hadoop Metadata Telecommunication 87

Analytics Vidhya

FEBRUARY 28, 2023

Introduction Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform that is built on top of the Microsoft Azure cloud. In this blog post, we will take a closer look at Azure Databricks, its key features, […] The post Azure Databricks: A Comprehensive Guide appeared first on Analytics Vidhya.

Big Data 310

Big Data Machine Learning Cloud Data Process 310

Rockset

MARCH 31, 2022

On top of that, I had to make that data available to our custom-built application via a secure RESTful endpoint with a less than one second response time. By day three of my new job at Sounding Board, I was able to meet those requirements, build, and demonstrate a real-time, reporting and analytics application using Rockset and Retool.

MongoDB 52

MongoDB Data Architect Data Schemas SQL 52

Rockset

JANUARY 23, 2024

Many search and analytics applications can experience frequent updates, especially when built on CDC data. Assuming an average watch time of 15 minutes per episode or a movie, the number of views per minute reaches 1.3 million on average.

Metadata 52

Metadata Coding Analytics Application Python 52

Rockset

FEBRUARY 9, 2023

Having supported numerous DynamoDB users through the development and productionization of their real-time analytics applications, we've detailed several methods for organizing your DynamoDB single table model in Rockset, so you can select the design that works best for your specific use case.

Designing 52

Designing Transportation SQL Utilities 52

Cloudera

FEBRUARY 8, 2024

The support for Apache Iceberg as the table format in Cloudera Data Platform and the ability to create and use materialized views on top of such tables provides a powerful combination to build fast analytic applications on open data lake architectures.

Metadata 90

Metadata Data Warehouse BI AWS 90