Cloudera

FEBRUARY 9, 2023

The sudden failing of a complex data pipeline can lead to devastating consequences — especially if it goes unnoticed. This is why we build job notifications functionality into SSB, to deliver maximum reliability in your complex real-time data pipelines.

SQL 78

SQL Kafka Aggregated Data Architecture 78

Rockset

APRIL 18, 2023

Vector search has seen an explosion in popularity due to improvements in accuracy and broadened accessibility to the models used to generate embeddings. Rockset offers a number of benefits along with vector search support to create relevant experiences: Real-Time Data: Ingest and index incoming data in real-time with support for updates.

Unstructured Data 105

Unstructured Data Metadata Machine Learning SQL 105

Rockset

AUGUST 30, 2021

It eliminates the cost and complexity around data preparation, performance tuning and operations, helping to accelerate the movement from batch to real-time analytics. The latest Rockset release, SQL-based rollups, has made real-time analytics on streaming data a lot more affordable and accessible.

SQL 52

SQL Kafka MongoDB MySQL 52

Knowledge Hut

MARCH 20, 2024

Data processing: In this role, you'll support the development of data processing pipelines using Azure Data Factory or Azure Databricks. Your responsibilities may include transforming, cleaning, and aggregating data according to the requirements provided by senior team members.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

MARCH 15, 2024

Data processing: In this role, you'll support the development of data processing pipelines using Azure Data Factory or Azure Databricks. Your responsibilities may include transforming, cleaning, and aggregating data according to the requirements provided by senior team members.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Governance 52

Knowledge Hut

JANUARY 3, 2024

Roles and Responsibilities of SOC Analysts The roles and responsibilities of SOC analysts are multiple in nature as they ensure the security of the company operations, ensure that the sensitive data and information of an organization are safe, they protect the company systems from hackers and malicious activities.

Computer Science 52

Computer Science Certification Data Mining Data Security 52

Knowledge Hut

MARCH 26, 2024

You can refer to several ITTO PMP cheat sheet pdf copies, it is designed to provide a quick and accessible overview of essential ITTOs. How Can I Create a PMP ITTO Cheat Sheet? Creating a personalized PMP ITTO cheat sheet was a game-changer for my study process.

Data Analysis 52

Data Analysis Certification Project Aggregated Data 52

LinkedIn Engineering

DECEMBER 19, 2023

Accessibility of all namenodes. The version drift framework consolidates data from various sources, as shown in Figure 6, to create a comprehensive list of worker nodes currently running outdated versions. This process continuously sends metadata information to Kafka , including health reports and version data, among other details.

Big Data 92

Big Data Hadoop Metadata Data 92

Ascend.io

SEPTEMBER 14, 2023

We’ll explore its advantages, delve into its applications, and highlight why Python is increasingly becoming the first choice for data engineers worldwide. Why Python for Data Engineering? As the field of data engineering evolves, the need for a versatile, performant, and easily accessible language becomes paramount.

Data Engineering 52

Data Engineering Data Engineer Python Engineering 52

Workfall

SEPTEMBER 18, 2023

Streamline Data Volume for Efficiency: While Snowflake is capable of handling large datasets, it’s essential to be mindful of data volume. Focus on sending relevant, necessary data to Snowflake to prevent overwhelming the integration process. Adapt to Changing Data Schemas: Data sources aren’t static; they evolve.

Data Pipeline 93

Data Pipeline Raw Data Data Schemas Healthcare 93

Cloudera

JANUARY 14, 2021

Traditional retailers now have access to an entirely new data monetization opportunity that many have been missing out on for years. This retailer deployed Cloudera DataFlow to tap real-time streaming data from thousands of cold storage sensors across its vast network of brick-and-mortar stores.

Food 69

Food Retail Aggregated Data Machine Learning 69

Ascend.io

NOVEMBER 21, 2023

The transformation is governed by predefined rules that dictate how the data should be altered to fit the requirements of the target data store. This process can encompass a wide range of activities, each aiming to enhance the data’s usability and relevance.

Raw Data 52

Raw Data Data Warehouse Data Cleanse Data Integration 52

Striim

NOVEMBER 18, 2022

Due to data silos, information isn’t readily available. Real-time healthcare analytics helps make processes more connected by ingesting large amounts of aggregated data and providing useful insights. However, things don’t always sail this smoothly in the healthcare industry.

Healthcare 52

Healthcare Hospitality Medical Electronics 52

Knowledge Hut

NOVEMBER 17, 2023

To be an Azure Data Engineer, you must have a working knowledge of SQL (Structured Query Language), which is used to extract and manipulate data from relational databases. You should be able to create intricate queries that use subqueries, join numerous tables, and aggregate data.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

U-Next

AUGUST 25, 2022

Thanks to Seaborn, data representations are simple to plot and use fewer pieces of code to generate visually appealing informational graphs. Seaborn offers specialized assistance for categorized and multidimensional data to display aggregate data. TensorFlow.

Machine Learning 40

Machine Learning Deep Learning Python Data Mining 40

Lyft Engineering

NOVEMBER 29, 2023

At Lyft, we used rollup as a data preprocessing technique which aggregates and reduces the granularity of data prior to being stored in segments. Pre-aggregating data at ingestion time helped optimize our query performance and reduce our storage costs. An example of how we use Druid rollup at Lyft.

Kafka 104

Kafka Data Ingestion Datasets Architecture 104

Knowledge Hut

MARCH 28, 2024

Consistency Across Teams: Establishing uniform tooling and automation practices across all teams involved in the project ensures that data is collected consistently, regardless of the team or individual contributor. This uniformity is critical for aggregating data across different components or services within a larger system.

Software Engineer 52

Software Engineer Software Engineering Data Collection Coding 52

Knowledge Hut

SEPTEMBER 27, 2023

Example: Imagine that your team is analyzing sales data for an internet consumer company with millions of transactions that happen weekly. QuickSight's SPICE engine stores the aggregated data in memory, allowing very fast query response times.

BI 52

BI AWS Database-centric Data Lake 52

AltexSoft

AUGUST 10, 2021

This process is called lead scoring and with access to data analytics, it allows you to predict how much each lead matters with utmost accuracy. This includes such data points as: Minimum, maximum, and average amount of money spent. Sources : CRM, aggregated data from card processors and other vendors.

Machine Learning 72

Machine Learning Data Mining Datasets Algorithm 72

DoorDash Engineering

OCTOBER 17, 2023

Supported internally at DoorDash, Flink is used by many teams to run their processing jobs on streaming data. We use Flink’s built-in time-window-based aggregation functions on exposure time. We then send this aggregated data to another Kafka topic. A user can access this data within minutes after launching an experiment.

Education 87

Education Kafka Algorithm Data Warehouse 87

Snowflake

JANUARY 29, 2024

Google Analytics, a tool widely used by marketers, provides invaluable insights into website performance, user behavior and critical analytic data that helps marketers understand the customer journey and improve marketing ROI. Your data will now automatically refresh within your Snowflake account based on your preferred frequency.

Raw Data 109

Raw Data Aggregated Data Data Cloud 109

Snowflake

DECEMBER 6, 2023

While watching a loved one experience a health issue, it became glaringly obvious there was a disconnect in healthcare data and the way providers are able to access and act on it. Every time we had a visit to a primary care physician, an ER trip or a referral to a specialist, data was collected.

Healthcare 91

Healthcare Aggregated Data Medical Data 91

ProjectPro

DECEMBER 7, 2021

The second step for building etl pipelines is data transformation, which entails converting the raw data into the format required by the end-application. The transformed data is then placed into the destination data warehouse or data lake. It can also be made accessible as an API and distributed to stakeholders.

Data Pipeline 52

Data Pipeline Architecture Kafka AWS 52

Confluent

FEBRUARY 6, 2019

The data scientist “just” deploys its trained model, and production engineers can access it. While all these solutions help data scientists, data engineers and production engineers to work better together, there are underlying challenges within the hidden debts: Data collection (i.e.,

Machine Learning 107

Machine Learning Python Kafka Java 107

Rockset

AUGUST 12, 2019

After creating an account at www.rockset.com , we’ll use the console to set up our first integration– a set of credentials used to access our data. Since we’re using DynamoDB as our data source, we’ll provide Rockset with an AWS access key and secret key pair that has properly scoped permissions to read from the DynamoDB table we want.

NoSQL 40

NoSQL AWS SQL Datasets 40

ProjectPro

APRIL 20, 2017

Having multiple hadoop projects on your resume will help employers substantiate that you can learn any new big data skills and apply them to real life challenging problems instead of just listing a pile of hadoop certifications. Analyse JSON data; Loading JSON format to Hive Create a Schema to the fields in the table.

Hadoop 40

Hadoop Big Data Coding Project 40

Striim

APRIL 3, 2024

Traditionally, this involves aggregating data from multiple sources such as HubSpot and Zendesk, a process that is both time-consuming and requires extensive technical expertise. Accelerating Conversion Rates through Data Integration Consider a company aiming to boost its conversion rates within a product-led growth funnel.

Google Cloud 52

Google Cloud Transportation Data Integration Aggregated Data 52

Picnic Engineering

OCTOBER 31, 2023

Datadog aggregates data based on the specific “operations” they are associated with, such as acting as a server, client, RabbitMQ interaction, database query, or various methods. The capability to aggregate data in one place, combined with a wide range of integrations, simplifies data collection and access.

Java 52

Java Aggregated Data Coding Python 52

Knowledge Hut

APRIL 19, 2023

The process of merging and summarizing data from various sources in order to generate insightful conclusions is known as data aggregation. The purpose of data aggregation is to make it easier to analyze and interpret large amounts of data. Let's look at the use case of data aggregation below.

Process 59

Process Data Mining Aggregated Data Portfolio 59

Knowledge Hut

OCTOBER 13, 2023

Aggregate Data: If you don't need granularity, consider aggregating data before loading it into Power BI to reduce the volume of data. Sort and Filter Early: Apply sorting and filtering in your queries as early as possible to reduce the amount of data transferred and processed.

BI 52

BI Business Analyst Datasets Raw Data 52

Rockset

DECEMBER 22, 2020

Whether you have each of these types of data in one index or separate doesn’t matter as we will be accessing them separately and joining them within our application. Building with Elasticsearch In Elasticsearch I have three indexes, one for each of the data types: product, purchase, and review.

SQL 40

SQL Data MongoDB Aggregated Data 40

Striim

APRIL 4, 2024

Traditionally, this involves aggregating data from multiple sources such as Zendesk and Hubspot, a process that is both time-consuming and requires extensive technical expertise. Real-Time Intelligence for Product Improvement Leveraging Zendesk data for feedback and feature request tracking is key for product improvement.

Transportation 40

Transportation Google Cloud Aggregated Data Cloud 40

Snowflake

JUNE 8, 2023

Data producers deliver data products from a single source or set of sources, such as data from a CRM application. Those data products could be used by themselves or aggregated into an aggregate data product, like the customer 360 described above. Product thinking works from the outside in.

Aggregated Data 69

Aggregated Data Raw Data Telecommunication Data 69

Cloudera

JUNE 29, 2023

Use cases include: Enable transparent access to financial data. It all starts with implementing a modern data architecture, which affords a comprehensive view of data across all core processes and systems — from loan portfolios and investment portfolios, to trading positions, customer profiles, and financial market data.

Data Architecture 82

Data Architecture Architecture Management Banking 82

Knowledge Hut

JANUARY 25, 2024

Encoding categorical variables, scaling numerical features, creating new features, aggregating data. One-hot encoding categorical variables, standardizing numerical features, aggregating data. Best Data cleaning tools and software Data cleaning is a crucial step in data preparation, ensuring data accuracy and reliability.

Data Cleanse 52

Data Cleanse Datasets Data Preparation Data Science 52

Monte Carlo

FEBRUARY 15, 2023

Data Security Data Warehouses achieve security in multiple ways. For example, some data warehouses: Can only be accessed using a private cloud. Can only be accessed using a specific machine or location. Can only be accessed during a certain time of the day Can only be accessed using multi-factor authentication.

Data Warehouse 52

Data Warehouse Unstructured Data AWS Business Intelligence 52

ProjectPro

SEPTEMBER 1, 2015

Hadoop MapReduce allows programmers to filter and aggregate data from HDFS to gain meaningful insights from big data. Coding Approach Using Hadoop MapReduce MapReduce is a powerful programming model for parallelism based on rigid procedural structure.

Hadoop 40

Hadoop Java Unstructured Data SQL 40