Library
Platforms and marketplaces
Guides to the cloud data platforms and data marketplaces where company data is bought, loaded and used.
50 pieces
- A market dashboard on company signals in Data Studio (Looker Studio)How to shape the market series table for charting, build rate, index and growth charts with an industry filter, and avoid the aggregation and base-date traps that distort a weekly series.
- Alternative data due diligence questionnaires, question by questionThe FISD questionnaire topic by topic, with the evidence each question calls for, and how Neudata and Eagle Alpha handle questionnaires once vendors have answered them.
- Alternative data on Bloomberg: what buyers should knowBloomberg names its alternative datasets and the routes that carry them. This guide sets out what each route gives a buyer and what to test before relying on it.
- Apache Iceberg tables for licensed external dataA table format decides how licensed files are stored, partitioned, loaded again and read back. This guide works through those choices for Fokals bulk exports.
- AWS Data Exchange: a guide for buyers of company dataA buyer's guide to AWS Data Exchange: the five data set types, how subscriptions and entitlements work, how revisions reach your bucket, and how to load company data that is delivered direct.
- AWS Glue pipelines for licensed external dataLand the files, catalogue them without letting a crawler rewrite your schema, process only new days with job bookmarks, and check every load. Worked on the Fokals tables.
- BattleFin: how the alternative data marketplace worksBattleFin runs alternative data events and a platform for finding, testing and buying datasets. This guide describes both from its own pages and gives a plan for each meeting.
- BigQuery sharing (Analytics Hub): a guide for buyers of company dataWhat subscribing to a listing creates, what a linked dataset does and does not allow, how a commercial purchase works, and what to ask a provider before you rely on it.
- Bringing external company signals into HubSpotFokals is delivered direct, and your pipeline writes it to HubSpot through the CRM API. Here is the property design, the domain match, the batch update and the traps, with SQL and the HubSpot calls.
- Company signals as context for Amazon Bedrock applicationsCompany signals are dated rows with sources. This guide compares an Amazon Bedrock knowledge base with a tool call over your own tables, and shows how to keep every answer dated and cited.
- Company signals as grounding data for Vertex AIWhich of Google's grounding options fits company signals, how to expose BigQuery tables to a Gemini model with typed queries, and how to return dates and sources so an answer can be checked.
- Company-level data and identity platforms: where each fitsAn identity platform resolves people and a company-level feed describes organisations. Match the job to the unit first, then join the two at the account.
- Data sharing in Oracle Autonomous Database, explainedVersioned and live shares, Delta Sharing as provider and as recipient, and the controls a licensing team needs to map: who receives the data, for how long, and what is logged.
- Databricks Marketplace: a guide for buyers of company dataFrom listing to read-only catalog: what a Databricks Marketplace listing contains, how instant and request access differ, how non-Databricks buyers connect, and what to ask a provider.
- Datarade: how the data marketplace works for buyersA buyer's reading of Datarade's own pages: free search, listing fields, sample previews, the request form and the contract, with a way to cut a long list to three providers.
- Delta Sharing, explained for data licensing teamsThe open protocol behind Databricks Marketplace: how providers, shares and recipients work, what changed in its name in 2026, and what a licensing team should settle when data is shared.
- Eagle Alpha: a guide for alternative data buyersA buyer's guide to Eagle Alpha as it describes itself: the three buyer tracks, the platform and advisory, the compliance tool and how to test a dataset you find there.
- Exploring bulk company data with DuckDBRead a sample file with read_csv or read_ndjson, then run seven checks on grain, dates, nulls, JSON cells, labels and baselines. The queries are written for the Fokals tables.
- Feature engineering on company signals in DatabricksWhich timestamp to key a feature table on, how to join labels as of a date, and the leakage traps left in daily and weekly company data, with worked SQL and Python.
- Governing licensed data with Unity CatalogA worked Unity Catalog design for licensed data: a catalog per agreement, group grants, licence tags, lineage and share checks, with the limits of each control stated.
- Grounding Azure AI applications on company signalsTwo routes to answers that carry a date and a source: a search index for announcements and a SQL tool for counts and trends, with the tables, the tool definition and the citation rules.
- How to evaluate company data providers on DataradeSix rows, each tied to a field on a Datarade listing and to a check you can run: how to score providers on coverage, freshness, sourcing, delivery, licence and a sample for the companies you track.
- HubSpot Breeze Intelligence, explainedHubSpot introduced Breeze Intelligence in 2024 and now documents data enrichment and buyer intent as CRM features. Here is what it fills, how it behaves and where dated signals fit.
- Ingesting a vendor API with Fivetran or AirbyteFokals is delivered direct by REST API and bulk files. This guide maps a cursor API onto the Fivetran Connector SDK and the Airbyte Connector Builder, setting by setting.
- Joining licensed company data to CRM tables in SnowflakeA worked join model in Snowflake SQL: a domain normaliser, a bridge to the company ID, subdomain matching, a match-rate report and a view for sales teams, with the pitfalls named.
- Listing a data product on Datarade: what providers should knowA provider's reading of Datarade's own pages: the application, the listing fields, the rules on personal and web data, the lead flow and the plans, checked on 4 October 2026.
- LiveRamp Data Marketplace, explained for B2B data teamsLiveRamp's marketplace trades audience data at a person level, beside its identity products. Here is how buyers use it, and where dated company-level signals fit instead.
- Loading company data into Amazon RedshiftWorked SQL for loading company data into Amazon Redshift: a table definition, COPY from S3, the SUPER type for JSON cells, and a daily incremental load that can run twice without duplicates.
- Loading company data into BigQueryA worked path from files in a bucket to partitioned BigQuery tables: LOAD DATA with an explicit schema, JSON columns for the object cells, MERGE for daily files, and checks after each load.
- Loading company data into Databricks with Auto LoaderA worked load of Fokals files into Databricks: landing in a volume, bronze with Auto Loader, typed silver tables kept free of duplicates with MERGE, and a gold join to your identifiers.
- Loading company data into Oracle Autonomous DatabaseA worked load of company CSV and JSON files into Oracle Autonomous Database with DBMS_CLOUD, with the format options that decide the result, the log tables, a load pipeline and JSON queries.
- Loading company data into Snowflake from files and an APIA worked pipeline from delivered files and API pages to history tables: stages, loading CSV by header name, JSON Lines into VARIANT, and an idempotent daily MERGE.
- Microsoft Fabric: bringing external company data into OneLakeWhere external company data goes in Fabric and how it gets there: lakehouse or warehouse, files kept as they arrive, loaded into Delta tables on a daily schedule.
- Modelling licensed company data with dbtA working dbt layout for licensed company data: sources, staging models, tests on keys and versions, freshness set from each table's closing rule, and the one table worth a snapshot.
- Neudata: how funds use it to find alternative dataA guide for funds weighing a data scouting service: what Neudata says it offers, how buyers use its research and compliance tools, and where its reports end and your own tests begin.
- OneLake shortcuts and external data sharing in Microsoft FabricShortcuts point to data without copying it, and external sharing opens it to another tenant. Here is what each does and what to settle in a data licence before you use them.
- Open:FactSet Marketplace: a guide for data buyersFactSet describes its marketplace as one ecosystem for data, applications and workflows. This guide sets out how it works for a buyer and what its entity mapping means for you.
- Power BI reports on company signalsA model for hiring and technology trends in Power BI: which tables are facts, which measures must not be summed, how refresh fits write-once tables and how row-level security keeps viewers in scope.
- Querying company data on Amazon S3 with AthenaHow to query bulk company files with Athena: JSON Lines external tables over your own S3 prefixes, daily partitions with partition projection, and converting to Parquet with CTAS.
- S&P Global Marketplace: a guide for data buyersS&P Global's Marketplace is a discovery platform for its own and curated third-party data. This guide describes it from S&P Global's pages and works through a query profile.
- Salesforce Data Cloud and external company dataData Cloud is now named Data 360. This guide covers the documented ways to bring in company data, the choice between copying and querying in place, and account matching.
- SAP Datasphere: adding external company data to business dataWhere licensed company data lives in SAP Datasphere and how it meets business partner records: a dedicated space, loaded tables, a mapping table and views that expose only what the licence allows.
- Serving company data to AI agents over Model Context ProtocolA team wraps the Fokals REST API as MCP tools in a thin server of its own. This guide covers tool design, paging, keys, rate limits and untrusted text against the current specification.
- Serving company signals from ClickHouseDesign ClickHouse tables for company change events, signals and weekly scores: which engine, which ordering key, and how a second access path is added when a second query needs one.
- Snowflake Marketplace: a guide for buyers of company dataFrom listing page to first query: how a Snowflake listing reaches your account, how trials and billing work, which questions to put to a provider and how to load data delivered direct.
- Snowflake Secure Data Sharing, explained for licensing teamsWhat is copied, who pays, how access ends and what a licence must still say, whether data reaches you as a Snowflake share, a listing, a reader account or as files you load.
- The SAP Datasphere Data Marketplace for data buyersWhat a buyer reads on a product page in the SAP Datasphere Data Marketplace, how licence keys and delivery types work, and the routes for loading data delivered direct.
- Using company signals with Snowflake Cortex AI functionsWhich Cortex functions exist today, worked SQL to summarise a watchlist's announcements and to search them, and the governance, cost and licence questions to settle first.
- What alternative data scouts look for in a new datasetWhat Neudata and Eagle Alpha publish about how funds judge a new dataset, set beside five checks you can run on a company-level dataset, with the Fokals tables as the example.
- What it takes to list a data product on Snowflake MarketplaceA provider-side guide for data teams deciding whether to list on Snowflake Marketplace: prerequisites, listing fields, review, regional delivery, duties after publication and the licence questions to settle first.