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

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

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

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

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

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

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

ProjectPro

FEBRUARY 16, 2023

Your SQL skills as a data engineer are crucial for data modeling and analytics tasks. Making data accessible for querying is a common task for data engineers. Collecting the raw data, cleaning it, modeling it, and letting their end users access the clean data are all part of this process. But how does SQL play a vital role here?

Data Engineering 52

Data Engineering Data Engineer SQL Engineering 52

ProjectPro

JULY 15, 2021

SaaS is the most common out of all, and it makes computing services accessible over a mobile/web app. IaaS provides users with access to basic computer infrastructure capabilities. The users can access massive platforms and apps without maintaining large-scale IT infrastructures.

Cloud Computing 40

Cloud Computing Cloud Project Banking 40

Rockset

MARCH 19, 2020

Intro In recent years, Kafka has become synonymous with “streaming,” and with features like Kafka Streams, KSQL, joins, and integrations into sinks like Elasticsearch and Druid, there are more ways than ever to build a real-time analytics application around streaming data in Kafka. Postgres), and maybe even data lake (i.e.

Kafka 40

Kafka Database Process SQL 40

Data Engineering Podcast

MARCH 3, 2024

What are the key considerations for powering AI applications that are substantially different from analytical applications? What are the key considerations for powering AI applications that are substantially different from analytical applications? The ecosystem for ML/AI is a rapidly moving target.

Programming 162

Programming Data Lake High Quality Data Data Pipeline 162

Monte Carlo

MAY 14, 2024

Depending on the quantity of data flowing through an organization’s pipeline — or the format the data typically takes — the right modern table format can help to make workflows more efficient, increase access, extend functionality, and even offer new opportunities to activate your unstructured data.

Data Lake 52

Data Lake Metadata Hadoop Data Governance 52

ProjectPro

MAY 20, 2015

Professionals aspiring to earn high-paid big data jobs must have a look at these top 6 big data companies to work for in 2015: 1) InsightSquared, Cambridge, MA InsightSquared a big data analytics company experiencing triple digit annual growth in revenues, employees and customers.

Big Data 40

Big Data Hadoop Business Analyst Unstructured Data 40

ProjectPro

APRIL 19, 2021

Get FREE Access to Data Analytics Example Codes for Data Cleaning, Data Munging, and Data Visualization Also Read: Data Analyst vs Data Scientist How to Become a Computer Vision Engineer in 2021? A data analyst creates reports or visualizations to ensure they have solved the defined business problem they were intended to solve.

Portfolio 40

Portfolio Data Finance Certification 40

ProjectPro

MARCH 10, 2016

All the batch processing and analytics workload at LinkedIn is primarily handled by Hadoop. LinkedIn uses Hadoop for development of predictive analytics applications like “Skill Endorsements” and “People You May Know”, ad-hoc analysis by data scientists and for descriptive statistics for operating internal dashboards.

Hadoop 40

Hadoop Big Data Data Analytics Big Data Ecosystem 40

Cloudera

NOVEMBER 7, 2023

Bucket Layouts in Apache Ozone File System Optimized (FSO) and Object Store (OBS) are the two new b ucket layouts in Ozone for unified and optimized storage as well as access to files, directories, and objects. Most traditional analytics applications like Hive, Spark, Impala, YARN etc. Keys can be files, directories, or objects.

Systems 100

Systems Hadoop Unstructured Data Media 100

ProjectPro

FEBRUARY 11, 2021

Implement statistical analysis and machine learning into highly available and high performance production level systems to provide ease of access to users. Translate the machine learning models defined by data scientists from environments like Python and R notebooks to analytic applications. Handling exceptions.

Machine Learning 40

Machine Learning Engineering Programming Language Portfolio 40

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

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

Precisely

MARCH 10, 2023

This capability opens the door to a wide array of data analytics applications. The Rise of Cloud Analytics Data analytics has advanced rapidly over the past decade. You need access to high-quality, accurate, and complete data. But you can only gain access to that information with accurate location data.

Datasets 59

Datasets Data Warehouse Big Data Cloud Storage 59

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 108

Data Pipeline Data Lake ETL Tools Unstructured Data 108

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