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

Snowflake

AUGUST 9, 2023

The Seek Insight Cloud is a cloud-native platform that helps organizations discover insights at scale through turnkey analytics applications. Snowflake and Seek provide the agility to get seamless access to data and analytics, so businesses can get insights quickly. That access needs to be fast and seamless.

Retail 52

Retail Electronics Raw Data Manufacturing 52

Christophe Blefari

MARCH 24, 2023

Kestra vision is also very open, everything is accessible through APIs. 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. Kestra is a YAML-based data pipeline tool mixed with string templating.

Lambda Architecture 130

Lambda Architecture Data Pipeline Data SQL 130

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

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

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. Why It’s So Hard to Become a Staff Engineer — A feedback to help people bringing the gap between senior and staff.

Data Science 130

Data Science Data BI Kafka 130

Grouparoo

NOVEMBER 16, 2021

Loading is the process of warehousing the data in an accessible location. The difference here is that warehoused data is in its raw form, with the transformation only performed on-demand following information access. Finally, where access requires small subsets of the data, this reduces the transformation processing overhead.

Data Mining 52

Data Mining Raw Data ETL Tools Unstructured Data 52

Rockset

FEBRUARY 18, 2021

Real-time analytics is all about deriving insights and taking actions as soon as data is produced. When broken down into its core requirements, real-time analytics means two things: access to fresh data and fast responses to queries. Rockset was 9.4x

Analytics Application 52

Analytics Application SQL Database Structured Data 52

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. This is a game changer in disaggregated, real-time architectures.

Data Ingestion 64

Data Ingestion Utilities Architecture SQL 64

Rockset

MARCH 10, 2022

Analytical queries could be accelerated by caching heavily-accessed read-only data in RAM or SSDs. RocksDB’s compaction algorithms also automatically merge old and updated data records to ensure that queries access the latest, correct version, as well as prevent data bloat that would hamper storage efficiency and query speeds.

Data Analytics 52

Data Analytics Data Warehouse Medical MySQL 52

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

MAY 17, 2022

More application code not only takes more time to create, but it almost always results in slower queries. Something as common as an intermediate join table , which SQL can handle efficiently and elegantly, can become a bloated memory hog in other languages.

SQL 52

SQL NoSQL Hadoop MongoDB 52

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 67

Cloud Storage Unstructured Data AWS Analytics Application 67

Snowflake

MAY 4, 2023

In the end, we want all of DTCC’s data securely accessible to our internal and external stakeholders. Given our mature data landscape, the attractiveness of Snowflake Native Apps is that they allow us to leverage compute capabilities directly where the data already lives.

Portfolio 52

Portfolio Cloud Analytics Application Data Security 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

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

Rockset

AUGUST 11, 2020

The recommendation models improved engagement when the models had access to more recent actions of its users. 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. Why is that?

Hadoop 52

Hadoop Datasets Banking Analytics Application 52

Striim

NOVEMBER 8, 2023

Data Mesh is a revolutionary event streaming architecture that helps organizations quickly and easily integrate real-time data, stream analytics, and more. 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

Rockset

FEBRUARY 9, 2023

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. .* from new_collection c where c.SK = 'User'; and --class view select c.* Typically for smaller tables, we start here.

Designing 52

Designing Transportation SQL Utilities 52

Knowledge Hut

MAY 31, 2023

If you're interested in developing the Internet of Things (IoT), you'll need to have access to a range of tools. Analytics and data visualization: Enable the collection and analysis of IoT data, along with visualization features to help identify trends and insights. What are IoT Tools? Kinoma Marvell Technology, Inc.,

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? Which queries do you have?

Data Engineering 98

Data Engineering Data Engineer Coding Project 98

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. Thus queries can access data in the memory itself and don’t have to wait until it is written to the disk.

MongoDB 40

MongoDB Data Ingestion Analytics Application Kafka 40

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. No rebalancing is needed as Rockset’s compute nodes access data from its shared storage.

MySQL 52

MySQL Kafka Aggregated Data Architecture 52

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

Towards Data Science

APRIL 26, 2023

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. Imagine, as a practical example, that we need to build a new customer-facing analytics application for our product team. The infrastructure often gets in the way though.

Engineering 70

Engineering Data Lake AWS BI 70

Striim

AUGUST 31, 2023

With Striim’s unified platform businesses have access to a range of features that make designing their own system easy and straightforward – all at an affordable cost or even free! Finally, kappa architectures are not suitable for all types of data processing tasks.

Data Integration 69

Data Integration Architecture Amazon Web Services ETL System 69

ProjectPro

SEPTEMBER 6, 2021

Popular instances where GCP is used widely are machine learning analytics, application modernization, security, and business collaboration. The main difference is that AWS IAM is used to grant access and manage accounts, whereas GCP IAM is used only to grant access to accounts managed by other means.

AWS 52

AWS Amazon Web Services Google Cloud Cloud Storage 52

AltexSoft

SEPTEMBER 23, 2021

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 unites all the access points connected to the data hub (transactional application, BI systems, machine learning training software, etc).

Architecture 52

Architecture Data Lake Unstructured Data Data Warehouse 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. According to Glassdoor, Hadoop Developer salaries at Cognizant Technology Solutions can range from $68,240-$98,446.As

Hadoop 52

Hadoop Insurance Cloud Computing Big Data 52

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

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 . That’s all for applications of AI in business. Conclusion .

Insurance 40

Insurance Finance Transportation Machine Learning 40

U-Next

AUGUST 26, 2022

R is available as an open language of programming for statistical computing and data analytics, and R often has a command-line API. R is accessible on popular operating systems, including Pc, Linux, and macintosh. Comparing R to other programming environments, it is, therefore, simple to access these libraries.

R (Programming) 52

R (Programming) Programming Language Algorithm Programming 52

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. As of 18 th August, 2016, Glassdoor listed 9 hadoop job openings in US alone.

Hadoop 40

Hadoop Data Lake Big Data Cloud Computing 40

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. Design Detail.

Data Warehouse 69

Data Warehouse Cloud Kafka Cloud Storage 69

Towards Data Science

APRIL 3, 2023

From Enormous Data back to Big Data Say you are tasked with building an analytics application that must process around 1 billion events (1,000,000,000) a day. While this might feel far-fetched at first, due to the sheer size of the data, it often helps to step back and think about the intention of the application (what does it do?)

Process 87

Process Data Lake Systems Bytes 87

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