Salesforce is a CRM service that provides access to all sorts of useful data by logging and collecting customer interactions, regardless of where they take place. Whether it’s a phone call, a website transaction, or a post on social media, Salesforce can offer instant customer data, which allows for faster, more informed decisions when running a business.
Amazon Kinesis is a powerful analytics solution that overcomes the batch-processing challenges of Hadoop — and similar solutions — which don't allow real-time precision in decision-making because they can't rapidly process high volumes of streaming data. With its ability to process hundreds of terabytes of streaming data per hour, Kinesis allows you to develop apps that rely on real-time data to fuel AI analytics, machine learning insights, and other applications. Kineses enables instant responses by eliminating the delay associated with batch processing.
Bring all your Salesforce data to Amazon Redshift
Load your Salesforce data to Google BigQuery
ETL all your Salesforce data to Snowflake
Move your Salesforce data to MySQL
Bring all your Amazon Kinesis data to Amazon Redshift
Load your Amazon Kinesis data to Google BigQuery
ETL all your Amazon Kinesis data to Snowflake
Move your Amazon Kinesis data to MySQL
Track valuable Salesforce lead information like who your leads are, their contact information, where they were first met and their contact status.
Store a Salesforce contact’s name, mailing address and email, along with the date they were last contacted and the date they should be contacted again.
Create a Salesforce account for any business or person that it may be useful to track. hen, use that account number to integrate and track any other important information associated with that account holder.
Create a Salesforce opportunity when there is a sale - or a potential sale - by one of your accounts. Then, connect them to leads, contacts, and accounts to provide analysis for how profitable certain business ventures and campaigns are.
Track a product’s name, description and category. Then, use a Salesforce product code to search for the product internally, track its progress, or incorporate new data regarding the product.
Track things like the budgeted cost and the actual cost of a campaign in Salesforce. Then, access fields - like how many leads were converted, new opportunities, expected revenue, etc. - that help you track how effective the campaign was.
Schedule events in Salesforce that are designed to help a business develop customer relationships and keep track of logistical data. You can also track if this event is related to a specific lead, contact, or opportunity.
Create Salesforce custom objects specific to your company’s needs that better manage what types of data you collect from your interactions and data sources. You can either create a wholly new custom object in which you define all the parameters, or you can customize a standard object to better fit your needs.
Amazon Kineses Video Streams allow you to safely ingest streaming video data from millions of linked devices into AWS for machine learning, analytical, and other processing purposes. The platform then encrypts, stores, and indexes the video data so you can access video with simple APIs, play live video streams, and offer on-demand playback. When incorporating this technology with Amazon Rekognition Video, TensorFlow, ApacheMxNet, and OpenCV, Amazon Kineses Video Streams makes it possible to build video analytics and computer vision processes into your applications.
By capturing, processing, and storing data streams, Amazon Kinesis offers a real-time data streaming solution to ingest large amounts of information from hundreds of thousands — even millions — of sources at the gigabytes-per-second scale. The massive scalability of this solution lets you capture and produce immediate analytics on data pertaining to financial transactions, database event streams, location tracking data, clickstreams, social media activity, and more. Since the availability of streaming data happens in milliseconds, the platform enables real-time analytics of this information for instant detection of anomalies, dynamic price adjustments, precise dashboard metrics, and more.
Amazon Kinesis Data Firehose provides a simple and durable way to pull your streaming data into data warehouses, data lakes, and analytics solutions. Due to its compatibility with Splunk, Amazon Redshift, Amazon S3, and Amazon Elasticsearch Service, Kinesis Data Firehose empowers real-time data analytics for the dashboarding and BI tools you've come to trust. Fully managed and automatically scaling, you can use Firehose to encrypt, batch, transform, and compress your information before ingestion to boost security and save on disk space.
Amazon Kinesis Data Analytics helps users without programming knowledge to analyze data streams with SQL or Java. For team members who know SQL, an SQL editor and templates are available for creating streaming applications or querying streaming data. Meanwhile, those with Java knowledge can develop more nuanced streaming applications that perform real-time data transformations and analytical processes.