Cloudera

DECEMBER 21, 2020

Data Catalog profilers have been run on existing databases in the Data Lake. The project is broken up into a series of steps each representing the different phases of a typical ML project: Data setup. Some time later, he has successfully built a customized churn model, based on the company’s own data. Model building.

Banking 97

Banking Data Lake Data Data Warehouse 97

Towards Data Science

OCTOBER 25, 2023

Notice also how we have tagged the tests as “contract-test-source”. contract.enforced: This configuration tells dbt that we want to enforce the contract every time the model is run. You can set the pipeline to fail every time the contract is not met. In the example, we expected the column’s value not to be less than 0.

Data Pipeline 82

Data Pipeline SQL Data Architecture Data 82

DareData

NOVEMBER 28, 2023

And all of these recordings can be saved either on the local machine, in a database locally or even in a server or cloud service, where one can then regulate and control access. Furthermore, with MLflow we can tag every registered model in three different categories: Staging, Production or Archived.

Data Science 52

Data Science Medical Machine Learning Data 52

Cloudera

SEPTEMBER 23, 2020

You can find part 1 of this series, here. . Database object security. Database object-level security is available through the centralized authorization framework of Apache Ranger. . Both fine-grained access control of database objects and access to metadata is provided. Security levels.

Database 81

Database Data Lake Metadata Java 81

Cloudera

JANUARY 20, 2021

This is the first in a six-part blog series that outlines the data journey from edge to AI and the business value data produces along the journey. Managing the complexity of real-time data: In order for ECC to drive predictive analytics use cases, a data management platform needs to enable real-time analytics on streaming data.

Manufacturing 105

Manufacturing Data Warehouse Kafka Retail 105

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. Building real-time streaming analytics data pipelines requires the ability to process data in the stream.

Process 81

Process Kafka SQL Machine Learning 81

AltexSoft

OCTOBER 18, 2022

At the same time, de-identification only encrypts personal details and hides them in separate datasets. This process involves adding descriptive elements — tags — to pieces of data so that a computer could understand what the image or text is about. National Covid-19 Chest Imaging Database (NCCID). Let’s sum up.

Medical 52

Medical Datasets Machine Learning Hospitality 52

Cloudera

NOVEMBER 12, 2020

Traditional on-premise architectures, which create a fixed, finite set of resources, forces every business request for new insight to be a crazy resource balancing act, coupled with long wait times, or a straight-up no, it cannot be done. When departments are not well served by central IT, “shadow IT” emerges.

Cloud 102

Cloud Data Warehouse Banking Data 102

ProjectPro

OCTOBER 18, 2021

Table of Contents 15 Top Machine Learning Projects for Students Time to Add the ML Projects to Your Resume 15 Top Machine Learning Projects for Students So, without further ado, let's dig deep into each of these best machine learning projects explicitly curated for students. Modern e-commerce sites like Flipkart, Amazon, Alibaba, etc.,

Machine Learning 52

Machine Learning Project Datasets Algorithm 52

Knowledge Hut

DECEMBER 19, 2023

Its ability to simplify scalable solutions design, at the same time offering high-level concurrency tools, gives it an edge over other programming languages. These could be displaying timely content updates, interactive maps, animated 2D/3D graphics, scrolling video jukeboxes, and so on. These are primarily web-based applications.

Java 98

Java Programming Language Architecture Database 98

ProjectPro

NOVEMBER 14, 2015

By providing multi-stage in-memory primitives, Apache Spark improves performance multi-fold, at times by a factor of 100! Spark technology is 100 times faster than the traditional Hadoop technology for processing large amounts of data. Data Integration 3.Scalability Scalability 4.Link Link Prediction 5.Cloud Cloud Hosting 6.Specialized

Hadoop 52

Hadoop Project Big Data Healthcare 52

ProjectPro

APRIL 20, 2017

You can always rely on these Hadoop projects and make the best use of available time and resources to master the Hadoop ecosystem that will help you fetch your next best Hadoop developer job. Problem Statement For a given user, we have their song history and the count on how many times the song was played by a user.

Hadoop 40

Hadoop Big Data Coding Project 40

Pinterest Engineering

NOVEMBER 22, 2023

Goku is our in-house time series database providing cost efficient and low latency storage for metrics data. In the first blog, we will share a short summary on the GokuS and GokuL architecture, data format for Goku Long Term, and how we improved the bootstrap time for our storage and serving components.

Database 94

Database Bytes Kafka Architecture 94

Snowflake

DECEMBER 12, 2023

Whether assigning tags, implementing masking policies, or applying row access policies, the process is easy and simple. The intuitive dashboard provides seamless navigation to desired databases and schemas, offering detailed reporting on tags and policies and the ability to take immediate action to apply them. Learn more here.

Metadata 89

Metadata Python AWS Government 89

Snowflake

FEBRUARY 29, 2024

While we covered Snowflake’s support for GEOGRAPHY and GEOMETRY data types in this blog series, and millions of queries run daily using these types, the reality is that there are still many who feel they need to be a geospatial expert to work with them. Caption: This map leverages H3 for the creation of a Wildfire Risk Index for California.

Insurance 84

Insurance SQL BI Consulting 84

ProjectPro

AUGUST 16, 2021

Some examples of such problems include real-time fruit detection , face recognition , self-driving cars, etc. NLP projects are a treasured addition to your arsenal of machine learning skills as they help highlight your skills in really digging into unstructured data for real-time data-driven decision making.

Machine Learning 40

Machine Learning Coding Project Deep Learning 40

Knowledge Hut

JULY 7, 2023

SQL is responsible for fetching the relevant data as per the requirement from the vast data store known as databases. No matter what database you use, the syntax will mostly remain the same. In our case, we will use MySQL database examples. These My SQL projects can be applied to other databases as well. Source Code 2.

SQL 52

SQL Coding Project Hospitality 52

AltexSoft

JUNE 26, 2023

It includes manual data entries, online surveys, extracting information from documents and databases, capturing signals from sensors, and more. It enables real-time analytics used for fraud detection, health conditions monitoring, stock market analysis, and other time-sensitive tasks. Data engineering explained in 14 minutes.

Data Collection 52

Data Collection Machine Learning Unstructured Data Non-relational Database 52

Rockset

JULY 22, 2022

Last week, Rockset hosted a conversation with a few seasoned data architects and data practitioners steeped in NoSQL databases to talk about the current state of NoSQL in 2022 and how data teams should think about it. This reduces all the time complexity of the index join to an index lookup. Much was discussed.

NoSQL 52

NoSQL SQL Database AWS 52

AltexSoft

SEPTEMBER 21, 2023

From those home-made beginnings as Compass, Elasticsearch has matured into one of the leading enterprise search engines, standing among the top 10 most popular database management systems globally according to the Stack Overflow 2023 Developer Survey. The engine’s core strength lies in its high-speed, near real-time searches.

Engineering 52

Engineering NoSQL Programming Language Java 52

Confluent

JULY 10, 2019

KSQL provides a nice collection of built-in SQL functions for use in functional transformation logic when doing stream processing, whether the need is scalar functions for working with data a row at a time or aggregate functions used for grouping multiple rows into one summary record of output. Note: When executing./gradlew docker cp ~/.m2/repository/com/redpillanalytics/functions/1.0.0/functions-1.0.0.jar

Kafka 87

Kafka Java Bytes SQL 87

AltexSoft

NOVEMBER 7, 2022

However, the platform is compatible with solutions supporting near real-time and real-time analytics — such as Apache Kafka or Apache Spark. Metadata database. A metadata database stores information about user permissions, past and current DAG and task runs, DAG configurations, and more. Airflow scheduler.

PostgreSQL 52

PostgreSQL Metadata Python MySQL 52

ProjectPro

AUGUST 9, 2021

Top 20 Python Projects for Data Science Without much ado, it’s time for you to get your hands dirty with Python Projects for Data Science and explore various ways of approaching a business problem for data-driven insights. 1) Music Recommendation System on KKBox Dataset Music in today’s time is all around us.

Data Science 52

Data Science Python Project Datasets 52

ProjectPro

FEBRUARY 1, 2022

Here you can talk about the connections(can be database connections like oracle, SAP…etc.) Here is a list of a few instances —  As car sales increase consistently over time with no significant spikes, I assume seasonal changes do not impact your car sales. Data Mining — How did you scrape the required data ?

Data Science 52

Data Science Datasets Banking Machine Learning 52

ProjectPro

FEBRUARY 18, 2022

Anyone who works with data, whether a programmer, a business analyst, or a database developer, creates ETL pipelines , either directly or indirectly. are migrated, aggregated, and modified to meet the parameters of the destination database to deliver significant insights. ETL is a must-have for data-driven businesses.

Project 52

Project AWS Kafka Healthcare 52

Netflix Tech

DECEMBER 3, 2022

This time we’ll try to give justice to the intro and then we will focus on one of the very first features Dataflow came with. Above bolded files define a series of steps (a.k.a. This main workflow can also be called manually during development with arbitrary run-time parameters to get a feel for the workflow in action.

Data Pipeline 143

Data Pipeline Scala Metadata Food 143

Datakin

OCTOBER 14, 2021

That’s a problem when it comes time to troubleshoot. You can study how the entire pipeline has changed over time, and find the root cause of issues quickly. There is an outstanding tutorial at the dbt site that can teach you about both of them at the same time. Data lineage is super powerful like that. dbt/profiles.yml. . %

Google Cloud 52

Google Cloud Datasets Bytes Metadata 52

Snowflake

MARCH 30, 2023

A 2016 data science report from data enrichment platform CrowdFlower found that data scientists spend around 80% of their time in data preparation (collecting, cleaning, and organizing of data) before they can even begin to build machine learning (ML) models to deliver business value.

Engineering 82

Engineering Raw Data Data Science Scala 82

AltexSoft

JULY 18, 2023

Spark Streaming enhances the core engine of Apache Spark by providing near-real-time processing capabilities, which are essential for developing streaming analytics applications. Netflix leverages Spark Streaming and Kafka for near real-time movie recommendations. It works with various formats, including Avro, Parquet, ORC, and JSON.

Big Data 52

Big Data Data Process Process Hadoop 52

AltexSoft

OCTOBER 21, 2022

Apache Kafka is an open-source, distributed streaming platform for messaging, storing, processing, and integrating large data volumes in real time. process data in real time and run streaming analytics. It supports batch processing; the Streams API for real-time processing and analytics. What is Kafka? High performance.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93

Ascend.io

JUNE 8, 2023

This is a series of operations that may include data quality assessments and remove inconsistencies, filter and eliminate errors, handle missing values, and more. This data product should also be able to handle increased demand, growing data volume, and enriched complexity without causing significant operating costs over time.

Pipeline-centric 52

Pipeline-centric Database-centric Data Ingestion Data Pipeline 52

AltexSoft

MAY 30, 2022

Besides that, customers want timely responses to whatever questions they have. In general, it is a set of technologies that work together to help chatbots and voice assistants process human language, understand intents, and formulate appropriate timely responses in a human-like manner. Text and voice-enabled conversational bots.

Banking 52

Banking Machine Learning Deep Learning Insurance 52

Dataquest

JANUARY 25, 2017

From helping cars drive themselves to helping Facebook tag you in photos , data science has attracted a lot of buzz recently. Most companies store their data in variety of formats across databases and text files. You’ll have a few different data stores: The database that backs your main app. Ride database.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

phData: Data Engineering

JANUARY 3, 2022

This commonly introduces: Database or Data Warehouse API/EDI Integrations ETL software Business intelligence tooling By leveraging off-the-shelf tooling, your company separates disciplines by technology. The separate disciplines begin to slow down due to the complexity and dependencies that have resulted over time.

IT 52

IT AWS Software Engineer Software Engineering 52

AltexSoft

JUNE 9, 2023

Over time, it has evolved significantly with the release of various versions, the latest being GPT-4 as of the time of this writing. In a single-turn conversation, the model responds to a prompt without considering any prior interaction — it’s a one-time exchange, much like asking a standalone question and getting an answer.

Project 52

Project Java Hospitality Transportation 52

ProjectPro

JUNE 24, 2021

Here is the list of key technical skills required for analytics job roles which can also be acquired by students or professionals from a non- technical background - SQL : Structured Query Language is required to query data present in databases. Testing is a very complex process which costs a company a fair amount of time, energy and money.

Data Analytics 40

Data Analytics Project Insurance Hadoop 40

Snowflake

JUNE 27, 2023

This is why we’re introducing the new Snowflake Performance Index (SPI), an aggregate index for measuring improvements in Snowflake performance experienced by customers over time. A Budget defines a spending limit for a specific time interval on the compute costs for a group of Snowflake objects.

Data Governance 57

Data Governance Unstructured Data Government SQL 57