Rockset

JANUARY 30, 2024

In 2023, Rockset announced a new cloud architecture for search and analytics that separates compute-storage and compute-compute. With this architecture, users can separate ingestion compute from query compute, all while accessing the same real-time data. Cloud native is the most efficient way to build.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Christophe Blefari

MARCH 24, 2023

Tommy, Mage's CEO, said that for the moment they will focus on building the best open-source data pipelines tool. Kestra vision is also very open, everything is accessible through APIs. Hex is a notebook-based analytics application. They got enough funding for the next 2 years. Hex raises $28m in a Venture Round [1].

Lambda Architecture 130

Lambda Architecture Data Pipeline Data SQL 130

Knowledge Hut

MARCH 29, 2024

An Azure cheat sheet is a simplified reference set that provides instant access to commands, essential information, and advice for using Microsoft Azure, a cloud computing platform. Portability and Accessibility: Since cheat sheets are usually light and compact, accessing them whenever and wherever required is simple.

Cloud Computing 52

Cloud Computing SQL Database Accessible 52

Cloudera

MARCH 2, 2021

However, in the typical enterprise, only a small team has the core skills needed to gain access and create value from streams of data. Contrast that with the skills honed over decades for gaining access, building data warehouses, performing ETL, creating reports and/or applications using structured query language (SQL).

SQL 112

SQL Data Lake Java Scala 112

Christophe Blefari

JANUARY 7, 2023

Final note: How China is building a parallel generative AI universe. Introducing ADBC: Database Access for Apache Arrow — When I see "minimal-overhead alternative to JDBC/ODBC for analytical applications" I'm instantly in. Who would have say that Bing would kill Google?

Data Science 130

Data Science Data BI Kafka 130

Rockset

OCTOBER 26, 2023

With Rockset’s Converged Indexing technology , data is indexed in a search index, columnar store, ANN index and row store for millisecond-latency analytics across a wide range of query patterns. Rockset provides the speed and scale required of ML applications accessed daily by over 2,000 employees at JetBlue.

Machine Learning 64

Machine Learning Data Science Architecture Data Warehouse 64

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

Striim

NOVEMBER 8, 2023

With the help of Striim’s enterprise-grade platform, companies can now deploy and manage a data mesh architecture with automated data mapping, cloud-native capabilities, and real-time analytics. It enables data to be accessed, transferred, and used in various ways such as creating dashboards or running analytics.

Architecture 52

Architecture Generalist Government Datasets 52

Snowflake

MAY 4, 2023

In the end, we want all of DTCC’s data securely accessible to our internal and external stakeholders. Snowflake and DTCC: Bringing the future into focus Our vision moving forward is to continue building out the DTCC Data Cloud on Snowflake.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 52

Cloudera

JUNE 16, 2022

The ability to perform analytics on data as it is created and collected (a.k.a. Organizations are increasingly building low-latency, data-driven applications, automations, and intelligence from real-time data streams. CSP was recently recognized as a leader in the 2022 GigaOm Radar for Streaming Data Platforms report.

Kafka 86

Kafka Manufacturing Data Lake SQL 86

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? Make a move to Cloudera Edge and Flow Management.

Data Pipeline 109

Data Pipeline Data Lake ETL Tools Unstructured Data 109

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 68

Cloud Storage Unstructured Data AWS Analytics Application 68

Striim

AUGUST 31, 2023

Striim offers an easy-to-use platform with drag-and-drop functionality and pre-built components that make it simple to build a kappa architecture. With its free version also available, businesses can start building their own system right away without needing expensive consultants or weeks spent configuring complex systems.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

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

Towards Data Science

APRIL 26, 2023

Photo by László Glatz on Unsplash In this post we will show how to build a simple end-to-end application in the cloud on a serverless infrastructure. The purpose is simple: we want to show that we can develop directly against the cloud while minimizing the cognitive overhead of designing and building infrastructure.

Engineering 67

Engineering Data Lake AWS BI 67

Knowledge Hut

MAY 31, 2023

IoT stands for "Internet of Things," which refers to the interconnection of physical devices, vehicles, buildings, and other items embedded with electronics, software, sensors, and connectivity that enables them to collect and exchange data. What are IoT Tools? libraries, and other programming languages to create connected devices.

Programming Language 52

Programming Language Electronics Java Programming 52

Knowledge Hut

JUNE 26, 2023

Top Data Engineering Projects with Source Code Data engineers make unprocessed data accessible and functional for other data professionals. Use Stack Overflow Data for Analytic Purposes Project Overview: What if you had access to all or most of the public repos on GitHub? Source: Use Stack Overflow Data for Analytic Purposes 4.

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

Cloudera

NOVEMBER 2, 2020

As an example of this, in this post we look at Real Time Data Warehousing (RTDW), which is a category of use cases customers are building on Cloudera and which is becoming more and more common amongst our customers. They chose to build their RTDW on Cloudera. Optimized access to both full fidelity raw data and aggregations.

Data Warehouse 94

Data Warehouse Kafka Lambda Architecture Telecommunication 94

Rockset

FEBRUARY 9, 2023

.* from _input i And you would build two views on top of the collection. -- user view Select c.* from new_collection c where c.SK='Class'; This is the simplest approach and requires the least amount of knowledge about the tables, table schema, sizes, access patterns, etc. Typically for smaller tables, we start here. .*

Designing 52

Designing Transportation SQL Utilities 52

Rockset

AUGUST 11, 2020

gather a variety of information, both past and recent, on every person, and then build models to show them relevant posts from friends or friends-of-friends to improve their engagement metric. The recommendation models improved engagement when the models had access to more recent actions of its users. Why is that?

Hadoop 52

Hadoop Datasets Banking Analytics Application 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. All you need to do is provide Rockset with your Snowflake credentials and configure AWS IAM policy to ensure proper access.

Kafka 52

Kafka Data Warehouse BI Analytics Application 52

U-Next

AUGUST 23, 2022

Ready data connections are accessible when Tableau is opened, allowing you to access any dataset. Users have access to the produced dashboards as a dynamic file, and the people that get the dashboards utilize Tableau Reader to examine the file. There are several applications for Tableau software. Tableau: Why Use It?

BI 52

BI Amazon Web Services Business Intelligence Database 52

Rockset

OCTOBER 4, 2022

Streaming data feeds many real-time analytics applications, from logistics tracking to real-time personalization. The broad adoption of Apache Kafka has helped make these event streams more accessible. Architecture ClickHouse was developed, beginning in 2008, to handle web analytics use cases at Yandex in Russia.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

U-Next

AUGUST 11, 2022

Professional BI tools and software provide several noticeable advantages; here, we will concentrate on the most significant ones in the BI tools list : They Gather all Pertinent Data: To handle these inputs and gain a more profound knowledge of the gathered data, you must build a high degree of data awareness.

Business Intelligence 40

Business Intelligence BI Unstructured Data Programming 40

Towards Data Science

APRIL 3, 2023

Building a Mental Model for Engineers and Anyone in Between Stream Processing can be handled gently and with care, or wildly, and almost out of control! How you transition from a batch mindset to a streaming mindset although can also be tricky, so let’s start small and build. You be the judge of what future you’d rather embrace.

Process 84

Process Data Lake Systems Bytes 84

Knowledge Hut

JULY 26, 2023

Data Access Layer: The data access layer function is to create a connection between the application and the database. Reporting and Analytics: These components enable users to obtain valuable insights from data and generate reports or visualizations for decision-making or reporting. Database Software- Document Store (e.g.-MongoDB):

Database 52

Database NoSQL Telecommunication MongoDB 52

Cloudera

MARCH 6, 2018

This leads to extra cost, effort, and risk to stitch together a sub-optimal platform for multi-disciplinary, cloud-based analytics applications. Altus SDX enables companies to more easily build and deploy high-value applications for customer analytics, IoT, cyber-security, and more.

Cloud 40

Cloud Metadata Big Data AWS 40

phData: Data Engineering

MAY 11, 2023

The next-generation Matillion Designer SaaS offering balances accessibility with a very minor learning curve on Git. ZDLC is a time-honored practice among data professionals who have grown their careers with the productivity tools available to most business users, such as Microsoft Excel and Access.

Coding 52

Coding Software Engineer Software Engineering Government 52

Cloudera

NOVEMBER 22, 2021

For example, organizations with existing on-premises environments that are trying to extend their analytical environment to the public cloud and deploy hybrid-cloud use cases need to build their own metadata synchronization and data replication capabilities. benchmarking study conducted by independent 3rd party ). Conclusion .

Government 92

Government Hadoop Data Security Data Warehouse 92

phData: Data Engineering

JULY 18, 2023

Imagine a world where all of your data is organized, easily accessible, and routinely leveraged to drive impactful outcomes. With the birth of cloud data warehouses, data applications, and generative AI , processing large volumes of data faster and cheaper is more approachable and desired than ever.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52

Cloudera

NOVEMBER 9, 2018

Armed with those personal data, cybercrooks could use them to illegally access a victim’s bank account or create a composite of the individual to commit offline crimes such as burglary, extortion, or fraud. Building the foundation of safe cities. Drive real-time processing and analytics to IoT data – both in motion and at rest.

Machine Learning 56

Machine Learning Banking Government Media 56

Rockset

MAY 3, 2023

Storage and compute are also colocated in the same nodes for faster data access and improved query performance. Rockset’s compute-storage and compute-compute separation for real-time search and analytics lead the way by isolating streaming ingest compute, query compute and hot storage from each other.

Data Ingestion 59

Data Ingestion Kafka Database Architecture 59

AltexSoft

SEPTEMBER 23, 2021

One of the innovative ways to address this problem is to build a data hub — a platform that unites all your information sources under a single umbrella. A data hub serves as a single point of access for all data consumers, whether it be an application, a data scientist, or a business user. Data access layer: data querying.

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 52

Rockset

DECEMBER 9, 2021

Real-time data streams typically power analytical or data applications whereas batch systems were built to power static dashboards. This fantastic piece about the anatomy of analytical applications defined a data app as an end-user facing application that natively includes large-scale, aggregate analysis of data in its functionality.

Transportation 52

Transportation BI SQL Data Warehouse 52

Cloudera

APRIL 2, 2019

Cloudera and Intel have a long history of innovation, driving big data analytics and machine learning into the enterprise with unparalleled performance and security. We are pleased to build upon that direction with our collaboration on Intel® Optane DC persistent memory.

NoSQL 47

NoSQL Google Cloud Hadoop Machine Learning 47

Cloudera

NOVEMBER 13, 2017

Cloud PaaS takes this a step further and allows users to focus directly on building data pipelines, training machine learning models, developing analytics applications — all the value creation efforts, vs the infrastructure operations.

Cloud 40

Cloud Big Data Metadata Machine Learning 40