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

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

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 94

Medical Hospitality Scala Transportation 94

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

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

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

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

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 87

Data Lake Data Pipeline Analytics Application Data Governance 87

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

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

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

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

Edureka

AUGUST 23, 2024

Learning and upgrading your skills to use the latest Kinesis suite will help you build real-time analytics applications that are useful across various industries. If you are interested in becoming an AWS developer, prepare with AWS interview questions to impress the recruiter. What is AWS kinesis used for?

AWS 52

AWS Kafka Amazon Web Services Medical 52

Knowledge Hut

MARCH 29, 2024

Monitoring and Logging: Discuss how to track and analyze resource utilization and performance using Log Analytics, Application Insights, and Azure Monitor. Describe the identity and access management (IAM) process for managing users, groups, roles, and permissions in Azure Active Directory.

Cloud Computing 52

Cloud Computing SQL Database Accessible 52

Rockset

AUGUST 11, 2020

No more batch analytics.this is analytics-on-the-fly! The challenge of building analytical applications on your most recent datasets is a tough challenge. Facebook also showed me photos of my last trip to that city that I made in 2017; and this needed a secondary index on all my earlier photos that were taken at that location.

Hadoop 52

Hadoop Datasets Banking Analytics Application 52

Rockset

AUGUST 18, 2020

This means the lines between real-time analytics and real-time analytical applications are now blurring. Live dashboards that alert humans to take actions and online applications that automatically trigger the right actions are both in the realm of real-time analytics.

Data Lake 40

Data Lake Data Schemas BI Kafka 40

U-Next

JUNE 27, 2023

Excel has a variety of new tools, like the Pivot tables, that help improve analytical applications. Pivot tables have become a commonly used tool in organizations due to their ability to make things simpler by performing multiple analytical actions to elaborate and process data.

Utilities 52

Utilities Data Analysis Raw Data Aggregated Data 52

Knowledge Hut

MARCH 15, 2024

You will acquire the skills necessary to combine, process, and organize data from different structured and unstructured data sources into frameworks appropriate for constructing analytics applications that make use of Microsoft Azure data services.

Cloud Computing 52

Cloud Computing Algorithm Certification SQL 52

ProjectPro

AUGUST 9, 2016

Cognizant’s BIGFrame solution uses Hadoop to simplify migration of data and analytics applications to provide mainframe like performance at an economical cost of ownership over data warehouses.

Hadoop 52

Hadoop Insurance Cloud Computing Big Data 52

Knowledge Hut

JUNE 16, 2023

Roles and Responsibilities Extract data from different sources Evaluate and clean data sets to build complex data pipelines Stitch all the data together Create and expose data stores to analytical applications Salary Range The salary of a Data Engineer is in the range of $132,922 per year. regularly hire Data Engineers in India.

Data Analytics 52

Data Analytics Business Analyst Business Intelligence Consulting 52

Rockset

FEBRUARY 2, 2022

Let’s explore five ways to run MongoDB analytics, along with the pros and cons of each method. 1 – Query MongoDB Directly The first and most direct approach is to run your analytical queries directly against MongoDB. There are many reasons this isn’t most developers’ favored approach, though.

MongoDB 52

MongoDB NoSQL Data Warehouse BI 52

U-Next

SEPTEMBER 21, 2022

While people are required to provide context and comprehend intricate circumstances, data science benefits from less inaccuracy, enabling more accurate estimates and data analytics. . Applications of AI in Business Operations .

Insurance 40

Insurance Finance Transportation Machine Learning 40

ProjectPro

SEPTEMBER 9, 2016

Based on the maturity with big data, HCL helps its clients identify use cases to experiment with big data, create data lakes and deploy hadoop data management platforms to develop analytic applications.

Hadoop 40

Hadoop Data Lake Big Data Cloud Computing 40

Knowledge Hut

JUNE 30, 2023

With helpful illustrations and thorough explanations, it assists readers in comprehending how to use Spark for big data processing and analytics applications. Ingestion of data, processing of data, machine learning, and graph processing are a few topics covered in the book.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Warehouse 52

Rockset

AUGUST 4, 2021

Operational Analytics Applications such as e-commerce, gaming, and the Internet of things (IoT) commonly require real-time views of what’s happening on a site, in a game, or at a manufacturing plant. Real-Time Personalization Many online businesses employ some level of personalization today.

Data Ingestion 40

Data Ingestion Cloud Storage Data Warehouse Architecture 40

U-Next

SEPTEMBER 29, 2022

During the forecast period, the global Workforce Analytics Market is expected to grow at a Compound Annual Growth Rate (CAGR) of 15.3% Enterprises are facing the immense challenge of analyzing HR data structure in real-time, driving a rapid increase in the demand for advanced analytical tools and analytics applications. .

IT 52

IT Recruitment Data Analysis Business Intelligence 52

Striim

NOVEMBER 8, 2023

The four data mesh principles aim to solve major difficulties that have plagued data and analytics applications for a long time. A data mesh is technology-agnostic and underpins four main principles described in-depth in this blog post by Zhamak Dehghani.

Architecture 52

Architecture Generalist Government Datasets 52

Cloudera

FEBRUARY 9, 2021

A typical approach that we have seen in customers’ environments is that ETL applications pull data with a frequency of minutes and land it into HDFS storage as an extra Hive table partition file. In this way, the analytic applications are able to turn the latest data into instant business insights.

Data Warehouse 72

Data Warehouse Cloud Kafka Cloud Storage 72